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dgilforddgilford/ai-science-toolkit/skills/disclose-project/SKILL.md

disclose-project

Skill82 starsChanged 43 days agoMITView on GitHub

Interview the user phase by phase to write a short publication-ready project-level AI-use disclosure — a spectrum-of-involvement (0–10) table with a row per phase, plus a statement covering the project's scope and how Claude was used. Use when a paper, report, or other multi-session project is ready for its AI-use statement.

The file

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  1. Very specific:

    Use the user's words for roles and verification.

    line 98

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

You interview the user to disclose how Claude was used across a whole project. User's answers are the source; evidence below only jogs memory and flags contradictions. Same 0–10 scale and seven roles as the disclose skill (/disclose).

Evidence

root="$(git rev-parse --show-toplevel 2>/dev/null)" || { echo "(not a git repo — interview only)"; exit 0; }
echo "author: $(git config user.name 2>/dev/null || echo '(unset — ask)')"
if git check-ignore -q "$root/.ai/disclosures.jsonl"; then echo "ledger: enabled"; else echo "ledger: disabled (.ai/ not gitignored)"; fi
echo "HEAD: $(git rev-parse --short HEAD 2>/dev/null || echo unknown)"
echo "commits: $(git rev-list --count HEAD 2>/dev/null) total, $(git log -i --grep='Co-Authored-By: Claude' --format=%H 2>/dev/null | wc -l | tr -d ' ') with a Claude co-author trailer"
echo "trailer models:"; git log -i --grep='Co-Authored-By: Claude' --format=%B 2>/dev/null | grep -io 'Co-Authored-By: Claude[^<]*' | sort | uniq -c | sort -rn | head -5
echo "files touched in Claude-trailer commits, by top-level dir:"
git log -i --grep='Co-Authored-By: Claude' --name-only --format= 2>/dev/null | grep . | awk -F/ '{print (NF>1?$1"/":$1)}' | sort | uniq -c | sort -rn | head -12
echo "disclose ledger:"
python3 - "$root/.ai/disclosures.jsonl" <<'PY' 2>/dev/null || echo "  (none)"
import json, sys
rows = [json.loads(l) for l in open(sys.argv[1]) if l.strip()]
rows = [r for r in rows if r.get("scope") != "project"]
print(f"  {len(rows)} entries")
for r in rows[-15:]:
    print(f"  {r.get('date')} | {r.get('artifact')} | {', '.join(r.get('roles', []))} | SOI {r.get('user_soi')}")
PY

Counts returned are used to prompt questions, never shares: a trailer means Claude touched a commit, not that it wrote it, and chat-pasted work leaves no trailer.

Anti-Rationalization (hard gate)

Ask each phase one at a time, waiting for each answer. Do not write a table or statement until every phase has an answer (a rating or "n/a").

ExcuseWhy it doesn't hold
"The evidence is strong enough to fill this phase in"Trailers and the ledger miss chat work, other sessions, and verification. Only the user knows.
"Seven individual phases is too many; batch them"Batching invites a skim. One phase per turn; "n/a" makes empty phases cheap.
"Overall SOI is just the average of the phases"Phases differ in weight for the paper. Ask the user for the final summary score.

Interview

Phases, in order:

#PhaseRoles to probe
1Conception & designIdeation, research/synthesis
2Data acquisition & processingAnalysis/code, human intervention
3LiteratureResearch/synthesis
4Analysis & derivationAnalysis/code, review
5FiguresAnalysis/code, review
6WritingDrafting, editing
7Internal reviewReview/critique

For each phase, show the evidence that speaks to it (matching dirs, ledger entries), then ask:

Phase <!-- n -->: <!-- name -->
Evidence: <!-- relevant trailer counts / ledger entries, or "none in repo" -->

1. What did Claude do here? (or "n/a")
2. How did you check or change its output?
3. Your SOI for this phase (0–10)?

Don't propose a score — a suggested number biases the user's rating. After the answer, flag a clear conflict with the evidence in one line (e.g. 40 trailer commits under analysis/ but rated 1) and accept the user's resolution.

Last turn: show the filled table and ask for the overall SOI score and the model name(s) and versions to cite (suggest the trailer models above).

Output

| Phase | Claude's role | Human verification | SOI |
|---|---|---|---|
| <!-- phase --> | <!-- roles, from the user's answer --> | <!-- how they checked it --> | <!-- n or n/a --> |

AI use disclosure: <!-- Author --> designed and conducted this <!-- project noun -->.
Claude (<!-- model(s), versions -->; Anthropic) was used for <!-- roles by phase, e.g.
"code development in data processing and analysis, and line editing of the manuscript" -->.
<!-- Author --> <!-- verification, e.g. "reviewed and tested all code and edited all text" -->
and takes full responsibility for the content (overall spectrum of involvement: <!-- n -->).

Use the user's words for roles and verification; offer tightened wording, don't embellish. Apply the disclose drift check: flag wording that implies more or less involvement than the ratings. Then offer to insert into the relevant manuscript file — default to the end, but ask where. Insert only on a yes.

Ledger

Unless --no-ledger or the evidence block says disabled, append one line to <repo>/.ai/disclosures.jsonl (mkdir -p .ai/; never edit .gitignore):

{"scope": "project", "date": "YYYY-MM-DD", "project": "<label>", "phases": [{"phase": "<name>", "roles": ["..."], "verification": "<...>", "soi": 3, "user_reply": "<verbatim>"}], "overall_soi": 3, "sha": "<short HEAD>", "statement": "<text>"}

user_reply quotes each phase answer verbatim. Best-effort: a failed write is mentioned, never blocks.

Verification

  • Each of the 7 phases asked one at a time, with an answer recorded before the next
  • No SOI (overall or for individual phases) proposed or assumed by you; conflicts with evidence flagged, user's resolution kept
  • Model names and versions confirmed by the user, not copied from trailers unasked
  • Table and statement use the user's words; drift check run
  • Insertion offered; ledger written with verbatim replies, or skipped and explained

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