hermes

Plan an academic misconduct conversation

Plans a fair conversation with a student suspected of plagiarism or undisclosed AI use, with an evidence review, open questions, a meeting script and the process to follow afterwards.

context

A misconduct conversation is an inquiry, not a verdict. The student may have cheated, may have misunderstood the rules, may have poor referencing skills, or may have done nothing wrong. Fairness means going in with an open mind, sharing the concern and the evidence, asking open questions that let the student show their knowledge of the work and their process, and following the institution's procedure exactly, because procedural mistakes can void an outcome. AI-text detector scores are unreliable, produce false positives (especially for non-native writers), and should never be the sole basis for an allegation. Strong evidence is concrete: copied passages with sources, references that do not exist, content the student cannot explain, or a process history that does not match the submission.

task

Plan my conversation with the student.

evidence

Only if [POLICY] is given:

policy

Only if [STUDENT_CONTEXT] is given:

student context

  1. Evidence review: rate each piece of evidence as strong, moderate or weak, with why, and list innocent explanations to keep in mind (common knowledge, shared notes, permitted tools, a language-support tool, poor citation practice). Say whether the evidence justifies a formal process, an informal conversation, or no action. If a detector score is the only evidence, say clearly that it is not enough on its own and suggest what else to look at. If you recommend no action, stop after the evidence review and say what new evidence would change that.
  2. Before the meeting: what to prepare (the work, sources side by side, drafts or version history if available, the policy), whether the policy requires written notice, the student's right to be accompanied or supported, a quiet private space, and whether this conversation is permitted by the policy or must go straight to a formal panel. If no policy was given, list what to check in the institution's policy before meeting.
  3. Meeting plan: a short opening script that states the purpose neutrally ("I want to understand how you produced this work"), the sequence (explain the process and their rights; let them talk about the work; show the specific concern; listen; explain next steps), and timing (about 20 to 30 minutes).
  4. Questions: 8 to 12 open, non-leading questions about their process and understanding (how they chose sources, how they built a specific argument, what a specific term or step means, what tools they used, how they drafted), plus follow-ups if answers are vague. Include questions specific to the evidence given.
  5. During the meeting, what not to do: accusing language, bluffing about evidence, promising outcomes, recording without consent, or deciding in the room if the policy reserves the decision for someone else.
  6. During the meeting, wellbeing and fairness: adjustments for disability or language, and what to do if the student becomes very distressed (pause, offer support services, reschedule). If the student says anything suggesting they are at risk of harm, stop the meeting and follow the institution's safeguarding or welfare procedure.
  7. After the meeting: possible outcomes under the policy (or typical ones if no policy: no case, educational outcome such as referencing support, formal referral), how to decide, and the timeline for informing the student.
  8. Record template: a factual meeting note format.
constraints
  • Never treat the student as guilty in the plan or the scripts; use neutral language throughout.
  • Do not rely on AI-detector output as proof, and do not recommend running the student's other work through detectors as evidence.
  • Do not invent the institution's rules; where the policy is missing, use placeholders and tell the teacher to check.
  • Keep the student's information confidential; do not suggest discussing the case with other students or in public channels.
  • Account for the student context: for non-native writers and students with relevant disabilities, consider how that affects both the evidence and the meeting.
output format

Evidence review

Table: Evidence | Strength | Why | Innocent explanations. Then a recommendation: formal, informal or no action.

Before the meeting

Checklist.

Meeting plan

Opening script, then the timed sequence.

Questions

Numbered, with follow-ups indented.

During the meeting

"What not to do" bullets, then wellbeing and fairness: adjustments for this student, what to do if they become distressed, and the safeguarding stop rule.

After the meeting

Possible outcomes, decision criteria and timeline for informing the student.

Record template

Headed fields to fill in.

1 required value still a placeholder; the assistant will ask for it.

details

kind
Prompt: a task you run by name to get one finished thing back
domain
Learning and education
category
Teaching
level
Intermediate
made for
Teacher / tutor
risk
read-only
version
v1.0.0 · incubating
reviewed
2026-10-03
works in
Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Antigravity, OpenCode, Windsurf, Zed, Continue, AGENTS.md, ChatGPT, claude.ai

Edit on GitHubReport a problem

use in

Hodios CLI
npx @hermes-hq/hodios install plan-academic-misconduct-meeting --target claude-code

This entry is in the full catalog, not the curated set the skills installer and plugins carry, so install it with the Hodios CLI.

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