---
name: document-responsible-ai-use-coursework
description: 'Maintain a proportionate, honest record of material AI inputs, decisions, source checks, revisions and learning reflection without declaring authorship or policy compliance. Use when while completing permitted AI-assisted coursework or a supervised learning exercise. When a course asks for an AI-use disclosure, process log or reflective account. When a learner wants evidence of decisions and source verification rather than a raw transcript dump.'
compatibility: 'Instruction-only Agent Skill. Requires an Agent Skills-compatible client and access to the tools or systems named in the instructions. No executable scripts are bundled.'
metadata:
  publisher: RichlyAI
  product: Amo.ng
  amo_id: AMO-S-000034
  canonical_url: 'https://amo.ng/skills/document-responsible-ai-use-coursework'
  package_version: 1.0.0
  source_type: prompt
  source_amo_id: AMO-P-000327
  source_content_sha256: 722cb569ec0a555b7f09b58cadc18a0513e17c107832eb9c299252bcbd2ed393
  source_version: 1.1.0
---

# Document Responsible AI Use in Coursework

## When to use this Skill

- While completing permitted AI-assisted coursework or a supervised learning exercise.
- When a course asks for an AI-use disclosure, process log or reflective account.
- When a learner wants evidence of decisions and source verification rather than a raw transcript dump.

## When not to use this Skill

- To certify authorship, originality, academic integrity or institutional compliance.
- To reconstruct an interaction from memory after the fact while presenting it as contemporaneous evidence.
- To store private, sensitive, copyrighted or assessment-restricted material in an unauthorized tool.

## Required inputs

- Applicable course or institutional AI-use and disclosure rules.
- Material prompts or summarized AI interactions with dates and tool/model details where known.
- Learner decisions, source checks, accepted/rejected content and revisions.
- The learner’s own explanation of what changed in their reasoning or skill.

Use [INPUT-TEMPLATE.md](assets/INPUT-TEMPLATE.md) to organize the supplied information.

## Required tools or access

Published source tool designations: General AI. These are source designations, not portable-client compatibility claims. Use only authorized access described in the inputs and source instructions. Do not claim access or inspection without evidence.

## Procedure

Before starting, read [SOURCE.md](references/SOURCE.md), including the exact Prompt instructions and any ordered Workflow steps, review notes and carry-forward requirements.

Use the source Prompt throughout the work rather than only at submission.

1. Record only material AI interactions and minimize assessment content or personal data.
2. For each interaction, distinguish the learner input, system output, decision, verification, revision and learning evidence.
3. Link consequential factual claims to sources the learner actually opened and checked.
4. Preserve rejected suggestions and the reason where they materially affected the work.
5. Map the record to the supplied disclosure rule while marking ambiguous or missing policy for the lecturer or policy owner.
6. Produce a concise disclosure draft and learning reflection that the learner reviews and owns.

The record supports transparency; it is not automatic proof of authorship, misconduct, learning or compliance.

Published expected output:

A chronological AI-use ledger, claim/source check record, accepted-and-rejected decision trail, revision map, learner-authored reflection prompts, disclosure draft and unresolved-policy note.

## Review gates

Read and apply the source review instructions in [SOURCE.md](references/SOURCE.md) before acting. Keep proposed, unrun and executed actions distinct; preserve missing evidence and obtain the human approvals required by the source.


## Completion criteria

Complete when all material AI interactions are represented; accepted and rejected outputs are distinguishable; consequential claims have actual source-check status; revisions and learning are explained by the learner; applicable disclosure fields are addressed; and missing policy or evidence remains explicit.

Use the [completion checklist](references/COMPLETION-CHECKLIST.md) and record unresolved items.

## Limitations

- Do not invent past interactions, dates, source checks or learning evidence.
- Do not retain unnecessary personal, peer, assessment or copyrighted content.
- Do not determine authorship, misconduct, grades or institutional compliance.
- The learner owns the final disclosure; the lecturer or policy owner interprets institutional rules.

This is an instruction-only package. Packaging does not execute work, grant access or independently verify the package. Existing public verification in amo.json describes only the identified published source resources.

## References

- [Published source instructions](references/SOURCE.md)
- [Completion checklist](references/COMPLETION-CHECKLIST.md)
- [Input template](assets/INPUT-TEMPLATE.md)
- [Rights](RIGHTS.md)
- [Canonical Amo.ng Skill](https://amo.ng/skills/document-responsible-ai-use-coursework)