Show Me Your Work Decision Log
cursor/plugins
Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.
Run the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only reporter) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy…
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wanshuiyin/Auto-claude-code-research-in-sleep integrity-forensics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills-codex/integrity-forensics .claude/skills/integrity-forensics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "integrity-forensics" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensics into .claude/skills/integrity-forensics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "integrity-forensics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensicsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wanshuiyin/Auto-claude-code-research-in-sleep integrity-forensics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skills-codex/integrity-forensics .agents/skills/integrity-forensics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "integrity-forensics" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensics into .agents/skills/integrity-forensics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "integrity-forensics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wanshuiyin/Auto-claude-code-research-in-sleep integrity-forensics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skills-codex/integrity-forensics .cursor/skills/integrity-forensics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "integrity-forensics" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensics into .cursor/skills/integrity-forensics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "integrity-forensics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git --path skills/skills-codex/integrity-forensics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wanshuiyin/Auto-claude-code-research-in-sleep integrity-forensics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skills-codex/integrity-forensics .gemini/skills/integrity-forensics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "integrity-forensics" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensics into .gemini/skills/integrity-forensics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "integrity-forensics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wanshuiyin/Auto-claude-code-research-in-sleep integrity-forensicsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skills-codex/integrity-forensics .github/skills/integrity-forensics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "integrity-forensics" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensics into .github/skills/integrity-forensics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "integrity-forensics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wanshuiyin/Auto-claude-code-research-in-sleep integrity-forensics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skills-codex/integrity-forensics .opencode/skills/integrity-forensics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "integrity-forensics" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/integrity-forensics into .opencode/skills/integrity-forensics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "integrity-forensics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
integrity-forensicsRun the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only reporter) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy…
Integrity Forensics is an agent skill from wanshuiyin/Auto-claude-code-research-in-sleep. Run the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only reporter) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy gate (BLOCK/WARN/NONEWBLOCKER) and an append-only obligations ledger. Codex-native limitation: upstream ships no Codex-native auditor pack, so the full nine-dimension semantic sweep requires a Claude Code session — this pack runs the honestly-scoped deterministic-only mode (it can flag, it can never say CLEAN). Use when…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Autonomous loops. The repository describes itself as: ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 26b95cf. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitpython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Integrity Forensics loads about 1.5k tokens when it runs. Until then it costs about 153 tokens; SKILL.md has 463 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from wanshuiyin/Auto-claude-code-research-in-sleep at commit 26b95cf, republished under its MIT licence (© wanshuiyin). 463 words, ~1,524 tokens.
.claude/skills/integrity-forensics/SKILL.md (or your agent's skills folder).Audit target: $ARGUMENTS
Same launcher doctrine as the mainline skill: SHA-pin, upstream eval-gate validation per pin, delegate unchanged, no vendoring, no forking, no reviewer knobs. The one Codex-native difference: upstream's nine auditor skills are Claude-Code contracts, so this pack runs upstream's deterministic-only mode — the numeric forensic core (GRIM / GRIMMER / statcheck / delta arithmetic) plus the rules-only reporter with an all-
review_unavailablecoverage map. That mode is honestly scoped by upstream: it can raise HARD/SOFT flags; it can NEVER returnCLEAN_GIVEN_EVIDENCE. Translating upstream's reviewer calls intospawn_agentwould REWRITE an upstream contract — forbidden.
https://github.com/wanshuiyin/Anti-Autoresearch.gitb47af6f983b38347b6d2110379e266400597cf66 — never
tracks HEAD; bumping is a reviewed change (mainline Pin-bump checklist).~/.aris/anti-autoresearch — host-neutral. An older clone at
~/.claude/anti-autoresearch is unused; move it and its .aris_eval_ok_*
receipt to keep an offline deterministic-only run working — this pack's own
mode — otherwise delete it whenever convenient.— effort: mapping onto upstream settings.CLONE_DIR="$HOME/.aris/anti-autoresearch"
ANTI_AR_COMMIT="b47af6f983b38347b6d2110379e266400597cf66"
mkdir -p "$HOME/.aris"
if [ ! -d "$CLONE_DIR/.git" ]; then
git clone --no-checkout https://github.com/wanshuiyin/Anti-Autoresearch.git "$CLONE_DIR"
fi
git -C "$CLONE_DIR" cat-file -e "$ANTI_AR_COMMIT^{commit}" 2>/dev/null \
|| git -C "$CLONE_DIR" fetch -q origin
git -C "$CLONE_DIR" checkout -qf "$ANTI_AR_COMMIT" || { echo "FATAL: cannot checkout pin"; exit 1; }
# pristine tree at the pin — local tampering (incl. nested-repo injections;
# hence double -f) must not run under the pin's name; verify, don't assume
git -C "$CLONE_DIR" reset --hard -q "$ANTI_AR_COMMIT" || { echo "FATAL: reset failed"; exit 1; }
git -C "$CLONE_DIR" clean -ffdxq || { echo "FATAL: clean failed"; exit 1; }
[ -z "$(git -C "$CLONE_DIR" status --porcelain)" ] || { echo "FATAL: tree not pristine"; exit 1; }
# marker OUTSIDE the clone (a marker inside a tamperable tree proves nothing)
MARKER="${CLONE_DIR}.aris_eval_ok_${ANTI_AR_COMMIT}"
if [ ! -f "$MARKER" ]; then
( cd "$CLONE_DIR" && python3 eval/run_eval.py ) || {
echo "FATAL: upstream eval gate FAILED at pin — refusing an unvalidated pin"; exit 1; }
touch "$MARKER"
fiOpen $CLONE_DIR/workflows/anti-autoresearch/SKILL.md and follow its
deterministic-only path (its own documented degraded mode): Step 0 ingest →
Step 1 evidence ledger → deterministic auditors → adjudication with the
generated all-review_unavailable coverage map. Wrapper rules: run every
upstream bash block with cd "$CLONE_DIR" (upstream self-locates via
git rev-parse --show-toplevel); refer to the paper by ABSOLUTE path; never
rewrite upstream outputs.
Expected outcome: report.json whose verdict is HARD_FLAGS / SOFT_FLAGS /
REVIEW_UNAVAILABLE — by construction never CLEAN_GIVEN_EVIDENCE.
Resolve forensics_gate.py via the canonical helper chain
(shared-references/integration-contract.md §2, Policy A), then:
python3 "$GATE_HELPER" evaluate --report "$PAPER_DIR/report.json" --paper-dir "$PAPER_DIR" \
--anti-ar-commit "$ANTI_AR_COMMIT" --executor-model "codex-gpt-6-astra"Policy: HARD_FLAGS → BLOCK · REVIEW_UNAVAILABLE → BLOCK (which a
deterministic-only run reports whenever it found no flags — the semantic
dimensions never ran, so nothing may wave the paper through) · SOFT_FLAGS →
WARN. The gate records same-family proposal provenance for a Codex
executor — informational: this gate only raises flags, it grants nothing.
The downstream preflight is ONE command:
python3 "$GATE_HELPER" fresh --paper-dir "$PAPER_DIR" --anti-ar-commit "$ANTI_AR_COMMIT"
— exit 0 ⟺ produced at the current pin ∧ gate
exists ∧ paper unchanged since ∧ gate matches the current ledger ∧ decision
pass-capable (WARN/NO_NEW_BLOCKER), where the decision is RE-computed from
the sha-verified archived report + live ledger (the stored token is display,
not authority). Any ledger mutation deletes the standing gate.json, and
evaluate refuses a report older than any paper file — neither a stale pass
nor a stale report can be replayed.
Identical obligations discipline to the mainline skill: append-only ledger,
UNRESOLVED_DISAPPEARANCE on vanished-but-unresolved findings, typed + hashed
resolve receipts (corrected-from-results | claim-narrowed | claim-withdrawn | citation-replaced; --verified-by must be typed provenance —
human:<name> / checker:<tool> / cross-family-review:<thread-id> — and
the evidence file is RE-hashed on every later gate), human-only waive
(never a resolution), and The One Forbidden Loop: never "edit → re-sweep
→ repeat until it stops flagging".
Numeric obligations route to the result files; the rest to the matching audit
skill or the human.
© wanshuiyin, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/skills-codex/integrity-forensics of wanshuiyin/Auto-claude-code-research-in-sleep.
Open the folder on GitHubat commit 26b95cf
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wanshuiyin/Auto-claude-code-research-in-sleep, which our catalogue first saw on October 7, 2026.
Integrity Forensics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Integrity Forensics this skillwanshuiyin/Auto-claude-code-research-in-sleep | 17k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Show Me Your Work Decision Logcursor/plugins | 11k | 8 repos | ~1.6k | Automated safety check: Pass | None | |
| Autoresearch Iteration Loopuditgoenka/autoresearch | 6.5k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Install Loop Engineeringcobusgreyling/loop-engineering | 11k | 1 repos | ~648 | Automated safety check: Pass | MIT | |
| LoopyForward-Future/loopy | 3.2k | — | ~3.9k | Automated safety check: Pass | MIT | |
| AI Performance Improvement Plantanweai/pua | 20k | 2 repos | ~6.9k | Automated safety check: Pass | MIT |
cursor/plugins
Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.
uditgoenka/autoresearch
Runs an autonomous modify, verify, keep-or-discard loop against any metric, with subcommands for planning, debugging, fixing, security audits, shipping and more.
cobusgreyling/loop-engineering
Installs Loop Engineering into a project through the single @cobusgreyling/loop CLI, scaffolding a report-only loop and a readiness score.
Forward-Future/loopy
Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication.
tanweai/pua
Pushes an agent to exhaust every option, investigate before asking and take initiative beyond the literal request, instead of giving up or waiting passively.
loopx-project/loopx
Diagnoses surprising LoopX behavior, such as stale recommendations or tiny progress, assigns it to the responsible layer and repairs it at the lowest durable level.
wanshuiyin/Auto-claude-code-research-in-sleep
Builds an academic conference poster as a single HTML and CSS file with measurement-based gates, real paper figures and a print-ready PDF rendered through headless Chromium.
wanshuiyin/Auto-claude-code-research-in-sleep
Runs a mathematical proof project as a stateful pipeline of run directories: a local attempt first, then a manual GPT Pro handoff package, with an optional DeepSeek audit.
wanshuiyin/Auto-claude-code-research-in-sleep
Render an ARIS Markdown / JSON artifact (IDEAREPORT, AUTOREVIEW, KILLARGUMENT, PAPERPLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading.
wanshuiyin/Auto-claude-code-research-in-sleep
Audit experiment integrity before claiming results. An agent skill from wanshuiyin/Auto-claude-code-research-in-sleep.
wanshuiyin/Auto-claude-code-research-in-sleep
Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab).
wanshuiyin/Auto-claude-code-research-in-sleep
Privileged applier that LANDS meta-optimize / corpus-audit patches the user approved, with a fresh landing review and human approval.
Categories
Run the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only reporter) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy…. Integrity Forensics is an agent skill from wanshuiyin/Auto-claude-code-research-in-sleep. Run the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only reporter) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy gate (BLOCK/WARN/NONEWBLOCKER) and an append-only obligations ledger.
Integrity Forensics fits situations like: user says integrity forensics; forensic audit this paper.
Run `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a claude-code`. Or copy the skill folder (skills/skills-codex/integrity-forensics in wanshuiyin/Auto-claude-code-research-in-sleep) into .claude/skills/integrity-forensics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a codex`. Or copy the skill folder (skills/skills-codex/integrity-forensics in wanshuiyin/Auto-claude-code-research-in-sleep) into .agents/skills/integrity-forensics in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/integrity-forensics, .gemini/skills/integrity-forensics, .github/skills/integrity-forensics and .opencode/skills/integrity-forensics in your project.
Going by SKILL.md and its folder, Integrity Forensics needs the command-line tools its instructions call (git and python3). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Integrity Forensics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Integrity Forensics: Show Me Your Work Decision Log (cursor/plugins, 11k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars), Install Loop Engineering (cobusgreyling/loop-engineering, 11k stars) and Loopy (Forward-Future/loopy, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wanshuiyin (a GitHub user) maintains it in wanshuiyin/Auto-claude-code-research-in-sleep, which has 17,205 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 7, 2026.
Source: wanshuiyin/Auto-claude-code-research-in-sleep on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.