# Hodios paste pack: Fact-checking

Everything in Fact-checking from Hodios, the open prompt library by Hermes IDE: 12 entries, catalog 2026.1003.0.

Every entry is dedicated to the public domain under CC0 1.0. Copy, change and share them freely, no attribution needed.

Browse and search the library at https://hermes-ide.com/prompts

## How to use

Find an entry below and copy the text inside its block into ChatGPT, claude.ai or any chat. Replace each [PLACEHOLDER] with your own material. Personas, rules and styles work best as custom instructions or project instructions.

## Contents

- Fact-checking
  - [Check a health or nutrition claim](#check-health-claim) (prompt)
  - [Check a science news story against the paper](#check-science-news-against-paper) (prompt)
  - [Check the statistics in an article](#check-statistics-in-article) (prompt)
  - [Compare how outlets frame the same story](#compare-news-framing) (prompt)
  - [Evaluate a source's credibility](#evaluate-source-credibility) (prompt)
  - [Fact-check claims in a text](#fact-check-claims) (prompt)
  - [Professional fact-checker](#fact-checker) (persona)
  - [Reply to someone sharing misinformation](#respond-to-misinformation) (prompt)
  - [Source and citation rules](#source-citation-rules) (rule)
  - [Trace a quote to its origin](#trace-quote-origin) (prompt)
  - [Verify citations and references](#verify-citations) (prompt)
  - [Verify where an image or video came from](#verify-image-provenance) (prompt)

---

<a id="check-health-claim"></a>

## Check a health or nutrition claim

`check-health-claim` · prompt · Fact-checking · https://hermes-ide.com/prompts/check-health-claim

Checks a health or nutrition claim against the hierarchy of evidence and explains in plain words what the research does and does not show, without personal medical advice. For health news readers.

````markdown
<context>
Health claims often rest on a real study that shows much less than the headline. The strength of evidence depends on the kind of study: systematic reviews and meta-analyses of randomised trials sit at the top, then individual randomised trials, then observational studies (which show associations that may be due to confounding), then case reports, laboratory and animal studies, and expert opinion. Common distortions are presenting an association as cause, an animal or cell result as a human one, a relative risk without the absolute risk, a surrogate marker (such as a blood test) as a health outcome, a tiny or short study as definitive, and evidence funded or promoted by someone selling the product. Readers need a clear answer about what is known, without being told what to do with their own health.
</context>

<task>
Check this health claim.
<claim>
[CLAIM]
</claim>


First decide your mode, and say which one at the top of the Short answer:
- **Checked against sources:** you can search the web and open pages in this session.
- **Provisional, from background knowledge:** you cannot. You may still explain what the established evidence broadly shows for well-studied questions, but you name no specific study, figure, guideline or URL, mark the verdict "provisional", and list the searches that would confirm it. For new, niche or fast-moving claims, give no verdict at all; explain what evidence would settle it and where to look.

1. **What the claim says:** restate it precisely: who it applies to, what effect on which outcome, how large, and whether it implies cause. If the claim is too vague to check (for example "seed oils are bad"), name the two or three specific claims it could mean and check the most common one, saying so.
2. **What the evidence shows:** look for the best available evidence, starting at the top of the hierarchy: systematic reviews (for example Cochrane), clinical guidelines from national health bodies, then large randomised trials, then observational studies. If the source cites a study, find and read it. For each piece of evidence, give the study type, population, size, outcome and result, using absolute numbers where available ("from 4 in 100 to 3 in 100"). In provisional mode, describe the kind and consistency of the evidence instead ("several small trials with mixed results").
3. **Why the claim may be misleading:** name each distortion you find (association presented as cause, animal or lab study, relative risk only, surrogate outcome, small or short study, cherry-picked study, conflict of interest, outdated evidence) and explain it in one or two plain sentences.
4. **Verdict:** supported, partly supported, not supported by good evidence, contradicted by good evidence, or too early to say. Say how certain the evidence is and why.
5. **What this means for you:** general context only: who should be cautious, possible harms or interactions the evidence mentions, and when the question is worth raising with a doctor or pharmacist.
</task>

<constraints>
- You give general information, not professional advice. You are not a doctor, therapist, lawyer, accountant or financial adviser, and you do not replace one.
- Say so once, briefly, near the start: what you can help with here and what needs a qualified professional.
- Do not diagnose, prescribe, give dosages, predict a legal outcome, or recommend a specific investment, tax position or legal action for this person.
- When the situation is serious, urgent, high-stakes or specific to their circumstances, say which kind of professional to see and what to bring to that appointment.
- If anything suggests immediate danger to health or safety, tell them to contact local emergency services now, before anything else.
- Rules, prices and laws differ by country and change over time. Name the assumption you are making and tell them to check it locally.
- Cite only sources you opened in this session, with links and dates. Never cite a study, guideline or statistic from memory, and never construct a URL.
- Prefer the most recent high-quality evidence, and say when guidance differs between countries or has changed.
- Do not tell the person to start, stop or change any medicine, supplement, diet or treatment. If the claim encourages stopping a prescribed treatment or delaying care, say in the Short answer, in either mode, that they should not change anything before talking to their doctor.
- Be fair: if a claim is partly true, say which part, and do not dismiss it just because it is unfashionable or promoted commercially.
- Write for a non-specialist; explain any term like "confidence interval" or "placebo-controlled" in a few words.
</constraints>

<output_format>
## Short answer
The mode, the verdict in bold (with "provisional" if it is), two sentences, and one line saying this is general information, not advice for their own health.
## What the claim says
## What the evidence shows
Table: source (linked) | study type | who and how many | result. In provisional mode, a short paragraph instead, with no named studies or figures.
## Why the claim may be misleading
Bullets.
## What this means for you
Short paragraph, with when to ask a doctor or pharmacist.
## Sources
Numbered list with links and dates, or, in provisional mode, the searches to run and where (for example the Cochrane Library, the national health service, the medicines regulator).
</output_format>
````

---

<a id="check-science-news-against-paper"></a>

## Check a science news story against the paper

`check-science-news-against-paper` · prompt · Fact-checking · https://hermes-ide.com/prompts/check-science-news-against-paper

Checks a news story about a study against the paper itself, covering design, sample, effect size, causal language and what the headline overstates, and suggests an accurate headline.

````markdown
<context>
Exaggeration in science news usually enters through a few predictable doors, often already in the press release: correlation reported as causation, animal or cell findings reported as if they applied to people, relative risks without the absolute risk, a surrogate marker reported as a health outcome, a small or unrepresentative sample generalised to everyone, a preprint presented as settled, statistical significance presented as importance, and advice the study never tested. A useful check puts each sentence of the story next to what the paper actually reports, and is just as clear when the story is accurate.
</context>

<task>
Compare the story with the study.
<news>
[NEWS_TEXT]
</news>
<paper>
[PAPER_TEXT_OR_ABSTRACT]
</paper>

1. Extract the study's facts from the paper: question, design (randomised trial, cohort, case-control, cross-sectional, qualitative, modelling, animal, in vitro), population and sample size, setting, exposure or intervention and comparison, outcomes (and whether they are surrogate or clinical), main results with effect sizes, absolute numbers where available, and uncertainty, the authors' own stated limitations, funding and conflicts of interest, and publication status (peer-reviewed or preprint).
2. Extract every claim in the news text, including the headline, the first paragraph, quotes and any advice to readers.
3. For each claim, find what the paper says and rate it: Accurate; Overstated (direction right, strength or scope inflated); Missing context (true but misleading without a key fact); Wrong (contradicts the paper); Not in the paper (from elsewhere, such as an interview or another study).
4. Check the common distortions explicitly: causal language for an observational design, animal-to-human extrapolation, relative versus absolute risk, surrogate outcomes, generalisation beyond the sample, preprint status, and quotes from independent experts versus the authors only.
5. Explain in plain words what the study shows and does not show.
6. Write an accurate headline of similar length.
</task>

<constraints>
- Base every rating on the paper text supplied. If only the abstract is given, say which claims cannot be checked without the full text.
- Compute absolute risks only from numbers the paper gives, and show the calculation.
- Be fair in both directions: say clearly when a story is accurate, and do not accuse the journalist where the press release or the paper's own abstract overstated the result (note where the overstatement seems to start if the text shows it).
- Do not give personal health, diet or treatment advice; if readers might act on the story, say what a study of this type can and cannot justify and suggest talking to a qualified professional.
- Do not judge whether the study's conclusion is ultimately true; only whether the story reports it faithfully.
</constraints>

<output_format>
## Verdict
Two sentences: how faithful the story is overall and its biggest problem.
## Claim by claim
A table: news claim (quoted) | what the paper says | rating | note.
## What the study actually shows
Plain-language summary with design, sample, effect size and limitations.
## An accurate headline
One headline, plus the original for comparison.
## What could not be checked
Items that need the full text, supplementary material or other sources.
</output_format>
````

---

<a id="check-statistics-in-article"></a>

## Check the statistics in an article

`check-statistics-in-article` · prompt · Fact-checking · https://hermes-ide.com/prompts/check-statistics-in-article

Checks an article's numbers for misleading percentages, missing base rates, cherry-picked windows and correlation sold as causation, recomputing what it can. Use before quoting it.

````markdown
<context>
Most misleading statistics are not false numbers but true numbers framed to mislead: a relative risk without the base rate ("doubles your risk" from 1 in 10,000 to 2 in 10,000), percent confused with percentage points, a start date chosen to exaggerate a trend, an average skewed by a few extremes, a self-selected online poll reported as public opinion, or a correlation narrated as cause. A reader can catch most of these with a checklist and some arithmetic.
</context>

<task>
Check every statistic in this article:
<article>
[ARTICLE]
</article>

1. List each number or statistical claim with the sentence it appears in.
2. Test each against this checklist and record only the problems that apply:
   - relative change without the absolute numbers or base rate;
   - percent change confused with percentage-point change;
   - missing or shifting denominators, and counts that should be rates (per person, per year);
   - cherry-picked time window or start point, or a one-off spike treated as a trend;
   - mean where the median would tell a different story, or a skewed distribution;
   - sample size, sampling method and margin of error; self-selected or unrepresentative samples;
   - correlation presented as causation, reverse causation, or an obvious confounder;
   - regression to the mean, survivorship bias, Simpson's paradox;
   - comparisons across different definitions, places or periods, or money not adjusted for inflation;
   - false precision, or numbers with no source.
3. Recompute what the article's own numbers allow (for example convert relative to absolute risk, percent to percentage points, totals to rates) and show the arithmetic.
4. Rewrite each problematic sentence so it is accurate.
</task>

<constraints>
- Use only the article's numbers and arithmetic. Do not bring in outside statistics; if a base rate or denominator is missing, say it is missing and what it would take to judge the claim.
- Distinguish "misleading as written" from "can't tell without more information". Do not accuse the article of an error you cannot show.
- Show every calculation step so a reader can check it.
- If the article contains no statistics, say so and stop.
</constraints>

<output_format>
## Verdict
Two or three sentences: how far the numbers support the article's main message.
## Issues
A table: # | quoted sentence | problem (from the checklist) | why it matters | accurate rewrite.
## Recalculations
Each recomputation with its arithmetic.
## Questions to ask
Bullets: the information the author or source should provide (denominators, sample details, full time series, definitions).
</output_format>
````

---

<a id="compare-news-framing"></a>

## Compare how outlets frame the same story

`compare-news-framing` · prompt · Fact-checking · https://hermes-ide.com/prompts/compare-news-framing

Compares how several news articles frame the same story, covering agreed facts, contradictions, emphasis, language, sources quoted and omissions, without labelling outlets by politics.

````markdown
<context>
Two accurate articles can leave readers with opposite impressions. Framing works through choices that are visible in the text: what goes in the headline and first paragraph, which facts are included or left out, which numbers are given context, whose voices are quoted and in what order, the words used for people and actions, and whether the story is told through an individual case or a broader pattern. Communication research describes common frames such as conflict, human interest, responsibility, economic consequences and morality. A useful comparison points to the exact words and choices, and separates factual disagreement (which can be checked) from difference in emphasis (which is a matter of judgement).
</context>

<task>
Compare these articles.
<articles>
[ARTICLES]
</articles>

1. Check that the articles cover the same event; if fewer than two articles are given, or they cover different events, say so and stop, asking for what is needed.
2. Summarise the event in one neutral sentence using only facts that all articles share.
3. List facts reported by all articles, and facts reported by only some (with which ones).
4. Identify factual contradictions (numbers, sequence of events, attributions) and say what source would settle each. Do not decide them unless one article gives a checkable primary source.
5. Compare framing article by article: headline and lead, the main frame, what is emphasised and what is placed late or left out, loaded or evaluative words (quoted exactly) and neutral alternatives, who is quoted and how many from each side, official versus affected voices, how numbers are contextualised, and images or captions if described.
6. Say, for each article, what a reader who read only that article would probably believe.
</task>

<constraints>
- Do not label outlets or authors as left, right, biased, propaganda or similar, and do not infer motive. Describe the text and let the reader judge.
- Quote exact words for every claim about language or emphasis; no impressions without evidence from the text.
- Treat omission carefully: say "not mentioned in this article" rather than "hidden", since length and timing differ.
- Note differences in publication time, article type (news, analysis, opinion) and length that may explain differences.
- Do not add facts from outside the articles unless clearly marked as context to verify.
</constraints>

<output_format>
## The story
One neutral sentence.
## Facts in common
Bulleted.
## Factual differences
A table: point | Article A | Article B | ... | how to resolve.
## Framing comparison
A table: dimension (headline, lead, main frame, emphasis, language, sources quoted, numbers, omissions) | Article A | Article B | ...
## What each reader would come away believing
One or two sentences per article.
## How to resolve the differences
The primary sources or records to check.
</output_format>
````

---

<a id="evaluate-source-credibility"></a>

## Evaluate a source's credibility

`evaluate-source-credibility` · prompt · Fact-checking · https://hermes-ide.com/prompts/evaluate-source-credibility

Assesses how far a source can be trusted for a specific claim using lateral reading (author, evidence, funding, corroboration) and gives a reasoned verdict. Use before citing a source.

````markdown
<context>
Research on how professional fact-checkers evaluate websites found that they read laterally: instead of studying the page itself (its design, its "About" page, its own claims about itself), they leave it quickly and check what independent sources say about who is behind it. The SIFT method teaches the same moves: Stop, Investigate the source, Find better coverage, Trace claims to their original context. Credibility is also claim-specific: a trade association is a good source for its members' prices and a poor one for the safety of its members' products.
</context>

<task>
Assess this source:
<source>
[SOURCE]
</source>

1. Stop: state what the source is (news report, opinion piece, study, preprint, press release, advocacy page, government page, forum post, AI-generated content farm…) and what it claims.
2. Investigate the source laterally: search for the publisher, the author and any funder outside the source itself. Find who owns or funds it, their expertise in this topic, their track record (corrections, retractions, fact-checker ratings, editorial standards), and their interests in the claim.
3. Find better coverage: look for independent, reputable sources reporting the same claim, and note whether they add evidence or merely repeat this one.
4. Trace claims: follow quotes, statistics and studies back to their origin and check that the origin says what the source says it does, in context and with the same date.
5. Weigh it up for the specific claim, and give the verdict with the reasons that decide it.
</task>

<constraints>
- Base findings on pages you actually opened in this session and link them. Never describe a publisher's ownership, funding or reputation from memory as fact.
- If you have no web access, say so first, assess only what is visible in the source itself, mark the verdict "Cannot determine yet", and list the exact lateral searches the user should run.
- Judge the evidence, not the politics or the style. A polished site can be unreliable; a plain one can be authoritative.
- Separate the source's reliability from the claim's truth: a weak source can repeat a true claim, and the right move is then to cite the better, original source.
- Use the verdict scale exactly: High, Moderate, Low, or Cannot determine yet.
</constraints>

<output_format>
## Verdict
The rating for this claim and one or two sentences on why.
## Who is behind it
Owner, author, funder, expertise and interests, each with a linked source.
## What the evidence is
What the source rests on, and whether tracing it confirmed it.
## What others say
Independent coverage and corroboration, linked.
## Red and green flags
Two short bullet lists.
## How to use it
Whether to cite it, cite the original instead, or avoid it, and what to cite instead if you found something better.
</output_format>
````

---

<a id="fact-check-claims"></a>

## Fact-check claims in a text

`fact-check-claims` · prompt · Fact-checking · https://hermes-ide.com/prompts/fact-check-claims

Checks each factual claim in a text against sources it actually retrieves, rates it with evidence and links, and says plainly when a claim cannot be verified. Use before publishing or sharing.

````markdown
<context>
Professional fact-checkers check claims, not opinions, and they trace each claim to the most authoritative source available: the original dataset, study, document, statement or record, rather than another article repeating it. They rate a claim on what it says in context, so a correct number used to imply something false is "misleading", not "accurate". An AI fact-check is only worth something if every source was actually retrieved and read in this session; a citation from memory is a new unverified claim.
</context>

<task>
Fact-check this text (thorough mode):
<text>
[TEXT]
</text>

1. Extract the check-worthy claims: statements of fact that can be shown true or false (numbers, dates, quotes, attributions, events, scientific and legal claims). Skip opinions, predictions and value judgements, but note any that are presented as fact.
2. Prioritise by consequence: claims that are central to the text's argument, that could cause harm if wrong, or that are surprising.
3. For each claim you check, search for the primary source first (official statistics, the original study, court records, the full transcript), then for independent corroboration. Note the date of each source, because many claims are true only for a period.
4. Rate each claim: Accurate, Mostly accurate (minor imprecision that does not change the meaning), Misleading (technically true but creates a false impression, or missing key context), Inaccurate, or Unverifiable (no reliable source found either way).
5. For anything not rated Accurate, write the corrected or qualified version of the sentence.
</task>

<constraints>
- Cite only pages you opened in this session, with their URL and publication date. Never cite from memory, and never construct a URL.
- If you have no web access, say so at the top, do not rate any claim, and instead list the claims with the source you would check for each.
- Treat "Unverifiable" as an honest result. Do not upgrade a claim to Accurate because it sounds plausible, and do not rate it Inaccurate only because you could not find it.
- Several articles repeating the same original source count as one source.
- Check quotes against the full original, and say if the context changes the meaning.
- Stay neutral: rate the claim, not the author or their politics.
</constraints>

<output_format>
## Verdict
Two or three sentences: how reliable the text is overall and the most important problem.
## Claims
A table: # | claim (quoted or tightly paraphrased) | rating | key source (linked).
## Details
For each claim not rated Accurate: what the evidence shows, the sources with dates, and the reasoning.
## Suggested corrections
The original sentence and the corrected version, for each claim that needs one.
</output_format>
````

---

<a id="fact-checker"></a>

## Professional fact-checker

`fact-checker` · persona · Fact-checking · https://hermes-ide.com/prompts/fact-checker

Professional fact-checker who checks every checkable claim, prefers primary sources, rates confidence honestly and never fills a gap with a guess. Use for checking drafts, posts, scripts and reports.

````markdown
From now on, work as this persona: Professional fact-checker.

You are a professional fact-checker who has worked on a magazine research desk and at an independent fact-checking organisation. You have checked long-form features, political speeches, science stories, books and viral posts. Your job is not to decide what people should think; it is to establish what can be shown to be true, false or unknown, and to say how sure you are.

How you work:
- You read the whole text first and pull out every checkable claim: numbers, dates, names, titles, quotes, attributions, causal claims, comparisons, superlatives ("the first", "the largest") and descriptions of documents or events. You separate them from opinion, prediction and analysis, but you notice when an opinion rests on a factual claim.
- You go to the most authoritative source available: the dataset, the study, the court record, the law, the official statistic, the full transcript or recording, the person quoted. Coverage of a source is not the source. Five articles repeating one press release count as one source.
- You read laterally: when you meet an unfamiliar site, organisation or expert, you leave the page and check what others say about them before trusting what they say about themselves.
- You check quotes against the full original, with the words around them, and you check that numbers mean what the text implies: the right year, the right population, the right denominator, absolute versus relative.
- You rate each claim on what it says in context. A correct number used to imply something false is misleading. A claim you could not settle is unverifiable, and you say so without embarrassment.
- You keep a record for every claim: the source, its date, the link or location, and what it actually says, so an editor can retrace your steps.
- When you can search the web you do, and you cite only what you opened in this session. Without web access you say so at the start and list, for each claim, the source you would check and what would settle it.

What you flag:
- Claims with no source, sources that do not say what they are cited for, and citations that may not exist.
- Numbers without a date or base, percentages without the absolute figure, and comparisons between unlike things.
- Quotes that are paraphrased, cropped, misattributed or older than presented.
- Images and video used out of their original time or place.
- Errors that could cause harm, legal exposure or a correction, ranked first.

Your habits:
- You never fill a gap with a plausible guess, and you never invent a source, link, quote or date.
- You state confidence plainly: confirmed, likely, unclear, unlikely, false, with the reason.
- You are even-handed: you check claims from every side with the same rigour, and you rate claims, not people or outlets.
- You propose the corrected wording, not just the problem, and you note when the correction changes the story's meaning.
- You are courteous with writers. A fact-check is a service to the piece, and most errors are honest ones.
````

---

<a id="respond-to-misinformation"></a>

## Reply to someone sharing misinformation

`respond-to-misinformation` · prompt · Fact-checking · https://hermes-ide.com/prompts/respond-to-misinformation

Helps reply to a friend or relative who shared misinformation, with what is wrong, the core fact, a non-judgemental message and a credible source to share. For people in family group chats.

````markdown
<context>
Corrections work best when they come from someone the person trusts, respect their underlying worry, and lead with the accurate information rather than the myth. The "truth sandwich" (fact first, then a brief mention of the myth and why it is misleading, then the fact again) avoids amplifying the false claim. Public mockery, long lectures and piles of links usually entrench the belief and damage the relationship. A private message is usually better than a correction in front of the group, but a short, neutral note in the group can protect others who saw the post. Many people share misinformation out of care ("I wanted you to be safe"), so the reply should honour that.
</context>

<task>
Help me reply about this:
<shared>
[CLAIM]
</shared>

Reply channel: private

1. **What is wrong:** in two or three sentences, what is false or misleading, and the type of problem (made up, real but out of context, old news recirculated, exaggerated, a scam). Note anything in it that is true.
2. **The core fact:** the one accurate statement that replaces the myth, in plain words.
3. **Your message:** write a short, warm private message in my voice, under about 80 words for a chat. Open with connection or shared concern, give the core fact, mention the myth only briefly, and end with an open question or offer rather than a verdict. If channel is group, keep it neutral and brief and suggest also messaging the person privately. Offer a second, even shorter version.
4. **A source to share:** suggest one credible, accessible source of the kind this person is likely to trust (a national health service, a well-known fact-checking organisation, a respected local outlet, the original source in context).
5. **If they push back:** two or three calm replies for likely responses ("I just shared it in case", "you can't trust them either"), and when to let it go.
</task>

<constraints>
- Do not invent facts, statistics or links. If you can browse, link only pages you opened. If you cannot, name the organisation and what to search for on its site, and tell me to check the page before sharing it.
- If you are not sure the claim is false, say so, and write a message that asks questions instead of correcting.
- Never mock or shame the person, and do not suggest tactics that could humiliate them in the group.
- If the shared content involves a health risk (for example stopping medicine or a dangerous remedy), make the core fact clear and suggest they talk to their doctor or pharmacist.
- If the content is a scam (asking for money, codes or personal details), say so first and include a warning not to click or pay.
- Stay neutral on politics; correct the fact, not the person's views.
</constraints>

<output_format>
Use the contract's section headings. Put the main and short versions of your message in quote blocks. Give the pushback replies as a two-column table: they say | you could reply.
</output_format>
````

---

<a id="source-citation-rules"></a>

## Source and citation rules

`source-citation-rules` · rule · Fact-checking · https://hermes-ide.com/prompts/source-citation-rules

Standing rules for research answers that require sources for factual claims, separate evidence from inference, and forbid invented citations, links or quotes. Use in any research or writing setup.

````markdown
Follow these rules for the rest of this conversation.

When you answer research or factual questions:

- Back every factual claim that is not common knowledge with a source the reader can check: the document the user gave you, or a page you retrieved in this session, with its title, publisher or author, date and link or location.
- Never invent a citation. Do not produce an author list, title, journal, year, DOI, URL, page number or quotation that you have not seen in this session. If you recall that a source exists but have not checked it, say so explicitly ("from memory, not verified") and give the reader a search to confirm it, not a fabricated reference.
- If you cannot find a source for a claim, say "I could not find a source for this" and either drop the claim or label it as unsupported.
- Keep three kinds of statement visibly apart: what a source says (attributed), what you infer from sources (marked as your inference), and opinion or recommendation (marked as such).
- Prefer primary sources (the original study, dataset, law, transcript or official statistic) over articles that report on them. When you cite a secondary source, say what it is citing.
- Quote exactly when wording matters, and keep the quote's context. Do not stitch quotes together or paraphrase in a way that changes the meaning.
- Report the strength of evidence with the claim: the study type, sample, whether it is peer-reviewed or a preprint, and how recent it is.
- When sources disagree, present each side with its source and say what might explain the difference. Do not average them into a false consensus.
- Do not count several articles repeating one original source as independent corroboration.
- Note when a fact is time-sensitive ("as of 2024") and when a newer figure may exist.
- Follow the user's citation style when they name one; otherwise use a consistent author-date style with a reference list at the end.
````

---

<a id="trace-quote-origin"></a>

## Trace a quote to its origin

`trace-quote-origin` · prompt · Fact-checking · https://hermes-ide.com/prompts/trace-quote-origin

Traces a quotation to its original source and context, checks for misattribution and paraphrase drift, and reports confidence with the full source trail. For writers, editors and researchers.

````markdown
<context>
Famous quotes drift. Words get polished, paraphrases become quotations, a line from a character is attributed to the author, a lesser-known person's words migrate to a famous name, and an apocryphal line is repeated on so many sites that it looks established. Quote researchers work backwards in time: they look for the earliest dated appearance in print or recording, compare its wording and context with the modern version, and check whether the attributed person could have said it. Quote-aggregator sites and social posts are not evidence; specialist sources such as Quote Investigator and the "disputed" and "misattributed" sections of Wikiquote are useful leads but should be followed to the primary sources they cite.
</context>

<task>
Trace this quote:
<quote>
[QUOTE]
</quote>

1. Search for the exact wording and for key distinctive phrases, since wording often changes. Search the attributed person's works, speeches, letters and interviews; digitised books and newspaper archives with date limits to find the earliest appearances; and specialist quote research.
2. Build a source trail from earliest to latest: each appearance with its date, the exact wording, who it is attributed to there, and a link to the page you opened.
3. Compare the earliest version with the modern one: changes in wording, meaning, speaker (for example a character in a novel, an interviewer, or someone the person was quoting) and context (sarcasm, a longer passage that changes the sense).
4. Give a verdict:
   - **Verified:** found in a primary source by the person, with matching wording.
   - **Paraphrase:** the idea is theirs but the popular wording is not.
   - **Misattributed:** an earlier or primary source shows someone else said it.
   - **Apocryphal or unverified:** no evidence they said it; earliest appearances are late and unsourced.
   - **Out of context:** genuine, but the context changes what it means.
   State the confidence and the main evidence.
5. Show how to cite it accurately: the original wording and source, or how to attribute it honestly if it cannot be verified ("often attributed to…").
</task>

<constraints>
- Cite only pages you opened in this session, with URL and date where available. Never cite from memory or construct a URL, and never invent a book, page number or speech.
- If you have no web access, say so at the top, give no verdict, and instead list the searches and sources the user should check, with what to look for.
- Treat absence of evidence carefully: "I found no evidence that X said this" is not the same as "X never said it". Say how thorough your search was.
- Quote the original exactly, including punctuation and any non-English original, with a translation if needed.
- Do not treat repetition across quote sites as corroboration.
</constraints>

<output_format>
## Verdict
The rating in bold, then two or three sentences with the key evidence and confidence.
## Source trail
Table: date | source (linked) | exact wording | attributed to.
## Original wording and context
The original passage and what it meant in context.
## How to cite it
A suggested citation or attribution line.
</output_format>
````

---

<a id="verify-citations"></a>

## Verify citations and references

`verify-citations` · prompt · Fact-checking · https://hermes-ide.com/prompts/verify-citations

Checks a reference list or AI-written text for citations that may not exist or do not support their claims, with verification steps per item and no fabricated replacements.

````markdown
<context>
Language models and hurried authors produce references that look real but are not: plausible titles attached to real authors, real papers with the wrong year, journal or DOI, DOIs that resolve to an unrelated paper, and genuine papers cited for claims they do not make. Fabricated references often share tells: a title that restates the citing sentence too neatly, a journal outside the author's field, page ranges or volumes that do not fit the year, DOI prefixes that do not belong to the stated publisher, or no trace in any index. Only looking a reference up settles whether it exists; only reading it settles whether it supports the claim.
</context>

<task>
Check these citations.
<text>
[TEXT_WITH_REFERENCES]
</text>

1. Parse every reference into its parts (authors, year, title, venue, volume, issue, pages, DOI or URL) and match in-text citations to reference-list entries. Flag citations with no entry and entries never cited.
2. Check each reference for internal problems: missing parts, inconsistent year and volume, a DOI that is malformed or whose prefix does not fit the publisher, a title that mirrors the citing sentence, an author outside the venue's field, or a venue that does not publish that article type.
3. If you can search the web in this session, verify each reference: resolve the DOI, search the exact title in quotes in a scholarly index or the publisher's site, and confirm authors, year and venue. Record what you opened. If you cannot search, say so at the top and mark every reference "Not checked".
4. Rate each reference: Verified (found, metadata matches); Exists with errors (found, but some metadata wrong, with the corrections from the source you found); Not found (searched as described, no match); Suspicious (not checked, but internal red flags); Not checked.
5. For claim support: where the citing sentence is given and you can read the source (abstract or full text), say whether it supports, partly supports, does not support, or cannot be judged from the abstract.
6. For anything not Verified, give specific steps to verify it by hand.
</task>

<constraints>
- Never "fix" a missing or false reference by substituting another paper. If you found a real paper that seems to be what was meant, report it as a candidate the author must read and confirm, never as a drop-in replacement.
- Never construct a DOI, URL or page range. Corrections come only from a source you opened in this session.
- "Not found" is not proof that a reference is fabricated (it may be a book chapter, report, thesis or non-indexed venue); say what kind of search would settle it.
- Do not judge whether a claim is true here, only whether the cited source supports it.
- Be explicit about which checks were actually performed.
</constraints>

<output_format>
## Summary
Web access yes or no, number of references, counts by rating, and the most serious problems.
## Reference check
A table: # | reference (short) | rating | what was checked | problems or corrections (with source).
## Claim support
A table: citing sentence | reference | supports? | evidence.
## How to verify the rest
Per reference not Verified: the exact steps.
## What not to do
One short paragraph on not replacing references without reading them.
</output_format>
````

---

<a id="verify-image-provenance"></a>

## Verify where an image or video came from

`verify-image-provenance` · prompt · Fact-checking · https://hermes-ide.com/prompts/verify-image-provenance

Guides a check of where an image or video came from through reverse search, metadata, visual clues, earlier versions and signs of AI generation or editing. For journalists and careful sharers.

````markdown
<context>
Most misleading images are real pictures with a false story: an old photo recaptioned as new, a scene from one country presented as another, or a cropped frame that changes the meaning. Fully fabricated and AI-generated images are growing but are still the minority, and the signs people look for (odd hands, garbled text) are unreliable as models improve. Professional verification combines provenance (who first posted it, when, and where), content (what the image shows that can be checked: place, time, weather, signs, uniforms), and context (does it fit what is independently known about the event). No single clue proves an image authentic, and AI-detection tools give probabilities, not proof. Content credentials (C2PA) can show an editing history when present, but their absence proves nothing, because most platforms strip metadata.
</context>

<task>
Help verify this media.
<media>
[MEDIA_DESCRIPTION]
</media>


1. **What is being claimed:** restate the claim as specific, checkable parts: what, where, when, who. Note which parts matter most.
2. **What can be seen:** if you can see the image or frames, describe observable details that can be checked: signs and text (language, script, names, phone codes), architecture, vegetation, landmarks, vehicles and number plates, uniforms, weather, shadows and light direction, clothing for the season. Separate what you observe from what you infer. If you cannot see the media, say so and work from the description.
3. **Verification steps:** a practical, ordered checklist the user can follow:
   - Preserve: save the file, screenshot the post with its URL, date and account, and archive the page before it is deleted.
   - Reverse search: run the image (or key frames from a video) through several engines, such as Google Lens, Bing Visual Search, Yandex and TinEye, because their indexes differ; crop to distinctive details and search again; sort results by date to find the earliest copy.
   - Video: extract key frames (for example with the InVID-WeVerify browser plugin) and reverse-search them; check whether audio matches the scene.
   - Metadata: inspect EXIF data on an original file if available, check for content credentials, and remember that social platforms usually strip both.
   - The source: who first posted it, their history and location, and whether they were plausibly there; contact them if appropriate.
   - Geolocation and time: compare details with satellite and street-level imagery, and check sun angle and weather records for the claimed date.
   - Context: search for independent reporting, official statements or other footage of the same event from other angles.
   - AI or editing: look for inconsistencies in reflections, text, edges and repeated textures; treat detection tools as one weak signal; check whether the scene is physically and logically possible.
4. **Assessment so far:** based only on what is known now, rate each part of the claim: consistent with evidence so far, not yet verified, likely miscaptioned, likely manipulated or generated, or false (for example an earlier copy exists from a different event). Explain the reasoning and the confidence.
5. **What would settle it:** the specific findings that would confirm or refute the claim.
</task>

<constraints>
- Never declare media authentic or fake on visual inspection alone. Say what the evidence supports and how confident that is.
- Do not claim to have run searches, opened links or read metadata you have not. If you have no browsing or search tools, give the steps for the user to run and ask them to report results back.
- Do not help identify, locate or expose private individuals shown in the media. Focus on verifying the event and the claim, not on who ordinary people in it are.
- If the media shows violence or distress, say so before describing it, and keep descriptions factual.
- Remain neutral about the politics of the claim; verify the claim, not the side.
</constraints>

<output_format>
Use the contract's section headings. What can be seen as two lists: observed and inferred. Verification steps as a numbered checklist with tick boxes. Assessment so far as a table: part of claim | rating | reasoning | confidence.
</output_format>
````
