paper-writing
wanshuiyin/Auto-claude-code-research-in-sleep · Agent Skill
自動化完整的論文寫作流程,將報告轉換為可提交的 PDF。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | wanshuiyin/Auto-claude-code-research-in-sleep ↗ |
| 技能資料夾 | integrity-forensics |
| 星 | 15,844 |
| 附帶檔案 | 1 |
| 授權 | MIT |
| 最近更新 | 2026年9月5日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “paper-writing” skill from mozgi.io (https://mozgi.io/skills/paper-writing/) for me. 1. Download the archive: https://mozgi.io/skills/paper-writing/download If it fails, take the skill folder from the source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/integrity-forensics 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “paper-writing” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/paper-writing/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep mkdir -p .claude/skills cp -r /tmp/Auto-claude-code-research-in-sleep/skills/integrity-forensics .claude/skills/integrity-forensics
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/paper-writing。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep mkdir -p .agents/skills cp -r /tmp/Auto-claude-code-research-in-sleep/skills/integrity-forensics .agents/skills/integrity-forensics
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $paper-writing 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep mkdir -p .cursor/skills cp -r /tmp/Auto-claude-code-research-in-sleep/skills/integrity-forensics .cursor/skills/integrity-forensics
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep mkdir -p .gemini/skills cp -r /tmp/Auto-claude-code-research-in-sleep/skills/integrity-forensics .gemini/skills/integrity-forensics
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Integrity Forensics — thin launcher for Anti-Autoresearch
Audit target: $ARGUMENTS
> What this is. ARIS generates papers; Anti-Autoresearch ↗
> is its outward-pointed dual — reviewer-side integrity forensics (46 patterns
> across 8 families, deterministic GRIM/GRIMMER/statcheck core, span-anchored
> claims, a rules-only reporter that summarizes rather than adjudicates). This skill is a
> thin launcher: it pins an upstream commit, validates the pin with the
> upstream eval gate, delegates execution unchanged, and post-processes the
> verdict into ARIS's policy vocabulary. It vendors nothing and forks nothing.
> 🔁 Cadence fence (shared-references/external-cadence.md): this skill is
> verdict-bearing decision support. Do not wrap it in /loop / /schedule —
> and NEVER as "iterate edits until it stops flagging" (see The One Forbidden
> Loop below).
Constants
- ANTI_AR_REPO =
https://github.com/wanshuiyin/Anti-Autoresearch.git - ANTI_AR_COMMIT =
b47af6f983b38347b6d2110379e266400597cf66— the SHA-pin.
The launcher NEVER tracks upstream HEAD; bumping this constant is a reviewed
change (see Pin-bump checklist).
- CLONE_DIR =
~/.aris/anti-autoresearch— the pinned working copy. Host-neutral
on purpose: ARIS also runs on DeepSeek Harness, Codex CLI, Cursor, Trae,
Antigravity and Copilot CLI, where ~/.claude/ would name an installation the
user does not have. An older clone at ~/.claude/anti-autoresearch is unused;
move it and its .aris_eval_ok_* receipt only to keep an offline
deterministic-only run working, otherwise delete it whenever convenient.
- NO REVIEWER KNOBS. This launcher exposes no reviewer model/effort
parameters and never maps ARIS — effort: onto upstream settings. The
pinned upstream runs exactly what it pins (gpt-6-astra + xhigh, its own
design decision). Overriding upstream review policy from a launcher would
create a second, unauditable configuration surface.
- GATE_HELPER =
forensics_gate.py— resolved via the canonical chain
(shared-references/integration-contract.md §2): .aris/tools/ →
tools/ → $ARIS_REPO/tools/ → $ARIS_REPO/tools/ via ~/.aris/repo.
Failure policy A (required): if it cannot be resolved at
assurance: submission, STOP — never improvise the gate.
Step 0 — Bootstrap the pin (idempotent)
CLONE_DIR="$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 "$CLONE_DIR"
fi
# fetch ONLY if the pin isn't already present — a cached, validated pin works offline
git -C "$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 pinned commit $ANTI_AR_COMMIT"; exit 1; }
# Force a PRISTINE tree at the pin — local tampering with the clone (edited
# adjudicator, injected module, even one hidden inside a NESTED git repo,
# which single-f clean skips) must not survive bootstrap and run under the
# official pin's name. Every step is checked; then the tree is verified.
git -C "$CLONE_DIR" reset --hard -q "$ANTI_AR_COMMIT" || {
echo "FATAL: reset to pin failed"; exit 1; }
git -C "$CLONE_DIR" clean -ffdxq || {
echo "FATAL: clean failed"; exit 1; }
[ -z "$(git -C "$CLONE_DIR" status --porcelain)" ] || {
echo "FATAL: clone is not pristine after reset+clean — refusing to run"; exit 1; }
# One-time-per-pin validation: the upstream eval gate (8 injected-defect
# classes, 100% recall + zero clean false positives) must PASS before this
# pin is allowed to produce a verdict. NEVER skip; NEVER proceed on failure.
# The marker lives OUTSIDE the clone: a marker inside a tamperable tree proves
# nothing (and `git clean` above would erase it, forcing re-eval every run).
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 $ANTI_AR_COMMIT — refusing to"
echo " use an unvalidated forensics pin for verdicts."; exit 1; }
touch "$MARKER"
fi
echo "anti-autoresearch pinned at $ANTI_AR_COMMIT (eval gate: validated)"
Step 1 — Delegate: run the upstream sweep, unchanged
Open and follow $CLONE_DIR/workflows/anti-autoresearch/SKILL.md end to
end on the target. Two wrapper rules — the ONLY things this launcher adds:
1. cwd. Upstream skills self-locate via git rev-parse --show-toplevel.
Run every upstream bash block with cd "$CLONE_DIR" first — ALWAYS the cd,
never just an exported ROOT (upstream blocks re-derive ROOT themselves
and would overwrite it) — and refer to the paper by absolute path,
otherwise upstream resolves ROOT to the ARIS repo and finds the wrong
Python spine.
2. Codex calls carry approval-policy: never + sandbox: read-only
(session hygiene; upstream already specifies fresh-thread-per-dimension,
serial execution, and its own model pins — do not alter them).
Everything else — the evidence ledger, coverage.json state machine, the nine
auditor dimensions, the refutation pass, the deterministic summary — is
upstream's contract. Never rewrite, soften, or re-map its outputs
(report.json + REPORT.md, verdict ∈ CLEAN_GIVEN_EVIDENCE / SOFT_FLAGS /
HARD_FLAGS / REVIEW_UNAVAILABLE). The observability level (L0/L1/L2) is
whatever upstream derives from the artifacts present — do not promise L2.
Step 2 — Typed gate + obligations (ARIS-side post-processing)
# Resolve $GATE_HELPER via the canonical chain (integration-contract §2), then
# ONE atomic call (update + gate in a single locked transaction — the gate only
# ever speaks for the report the ledger has folded, sha-bound):
python3 "$GATE_HELPER" evaluate --report "$PAPER_DIR/report.json" --paper-dir "$PAPER_DIR" \
--anti-ar-commit "$ANTI_AR_COMMIT" --executor-model "<this pipeline's executor>"
# exit 0 = WARN / NO_NEW_BLOCKER · exit 1 = BLOCK
The gate translates the verdict into policy WITHOUT re-labeling it:
| upstream verdict | policy |
|---|---|
| HARD_FLAGS | BLOCK — an auditor proposed something critical and it is on the table for you to read; never "the machine found fraud" |
| REVIEW_UNAVAILABLE | BLOCK — an incomplete sweep cannot wave a paper through |
| SOFT_FLAGS | WARN — human disposition. Read the never-ran list too: the upstream verdict folds incompleteness in only when it would otherwise be clean, so a WARN can sit on top of a sweep where verdict-bearing dimensions never ran. evaluate and fresh both print those dimensions |
| CLEAN_GIVEN_EVIDENCE | NO_NEW_BLOCKER — *never* called PASS or accepted: it means "no flag found in the evidence at hand", not an acquittal |
| anything else | BLOCK (fail closed) |
plus: any OPEN critical obligation → BLOCK; any OPEN obligation → at least
WARN; a closed-without-receipt or unknown-status ledger entry → BLOCK (a
hand-edited "status": "RESOLVED" does not open the gate).
gate.json also records a paper_fingerprint (sha over the paper's compile
inputs AND deliverables — .tex/.bib/.sty/.cls/figures/PDF). The
downstream preflight is ONE command:
python3 "$GATE_HELPER" fresh --paper-dir "$PAPER_DIR" --anti-ar-commit "$ANTI_AR_COMMIT"
— exit 0 ⟺ the gate was produced at the CURRENT pin ∧ a gate
exists ∧ nothing in the paper changed after it ∧ the gate matches the current
obligations ledger ∧ the decision — **re-computed from the sha-verified
archived report (last_report.json) + the live ledger, never read from the
gate's stored token** — is pass-capable (WARN / NO_NEW_BLOCKER). Anything
else — missing gate, post-gate edit or recompile, unbound ledger or archive,
recompute mismatch, BLOCK, unknown token — exits 1: re-run the sweep +
evaluate. Every ledger mutation (update/resolve/waive) deletes the
standing gate.json, so an interrupted run can never leave a stale pass; and
evaluate refuses a report OLDER than any paper file (a stale report cannot
be folded onto text it never audited). Run evaluate immediately after the
sweep, before touching any paper file.
The gate artifact also records honest provenance: upstream's auditors are
GPT-family, so for a Claude executor the findings carry cross-family
proposal provenance; for a Codex executor they are same-family. Either
way this gate only raises flags — it has no acceptance to grant, so the
distinction is informational, not a loophole.
Step 3 — Fix what it found (obligations, not a polish loop)
Every OPEN obligation gets DISPOSITIONED — fixed, or explicitly waived. Upstream now
reports every proposal an auditor made rather than deciding which ones do not count, so
expect more obligations than a pre-2026-08 sweep opened, and expect some of them to be
proposals you disagree with. waive is a first-class, expected outcome — "a model
proposed this and I, the human, judge it wrong" is a normal disposition here, not a last
resort. Weigh each one against the report's columns: Anchored, Observability,
FP-risk, Surface, Ext-check.
For the ones that are real, use the right door:
| Finding family | Repair route |
|---|---|
| A — numeric self-consistency | recompute from the RESULT FILES (/paper-claim-audit evidence chain); fix the number, not the sentence |
| D — experiment integrity | back to /experiment-audit / rerun |
| E — citations | /citation-audit KEEP/FIX/REPLACE machinery |
| G — proof & derivation | /proof-checker's fix loop |
| B / C / H — scope, baselines, eval design | science-level: feed the finding to /auto-review-loop as reviewer INPUT, or to the human |
| AIS / advisory (zero-weight) | optional context for /auto-paper-improvement-loop; never gates |
Close each obligation explicitly — the receipt is typed and hashed:
python3 "$GATE_HELPER" resolve --paper-dir "$PAPER_DIR" --obligation-id <id> \
--fix-type corrected-from-results|claim-narrowed|claim-withdrawn|citation-replaced \
--evidence <path-to-the-ground-truth-that-backs-the-fix> \
--verified-by "human:<name>" | "checker:<tool>" | "cross-family-review:<thread-id>"
# or, with HUMAN sign-off only:
python3 "$GATE_HELPER" waive --paper-dir "$PAPER_DIR" --obligation-id <id> \
--approver "human:<name>" --reason "<why this stands as-is>"
Rules the ledger enforces mechanically (tests/test_forensics_gate.py):
- append-only — re-running the sweep can open obligations, never close them;
- a finding that *disappears* from a later report stays OPEN and gains
UNRESOLVED_DISAPPEARANCE — rewording the span is not a fix;
claim-withdrawnis an honest fix (deleting an unsupported claim is a
legitimate resolution — with the deletion diff as evidence);
- a waiver is not a resolution: human-approved, permanently recorded,
original finding snapshot immutable;
- the executor's
fix_typelabel is a receipt, not a verdict — closure of a
critical needs a family checker, a fresh cross-family review, or a human
(--verified-by requires TYPED provenance and is recorded; naming a human
who did not approve is a false record with a permanent paper trail);
- receipts are re-verified, not remembered: on every later gate the
evidence file must still exist and still hash to what was recorded at
closure time — editing the evidence after closing re-opens the BLOCK;
resolve/waive(likeupdate) invalidate the standinggate.json—
finish Step 3 by re-running the sweep + evaluate, so the gate that
downstream preflights read reflects the post-fix state.
The One Forbidden Loop
Never run "edit → re-sweep → repeat until CLEAN". That objective function
teaches the editor to defeat the detector — deleting an anchored span kills a
flag faster than fixing the number, and the result is a paper laundered
against its own audit. The re-run after fixes exists to confirm the
DISCREPANCY is gone (and to catch new ones); the obligations ledger — not the
verdict — decides whether the gate opens.
Trust boundary (what is computed vs what is protocol)
- Computed (the gate enforces these mechanically): verdict→policy mapping,
append-only ledger lifecycle, sha bindings (report ↔ ledger ↔ archive),
receipt re-hashing, the paper fingerprint, pin/version match, and the
recomputed decision (fresh never trusts a stored token).
- Protocol (instruction-graded, deliberately): that the sweep actually ran
at the pinned clone against this paper. The gate raises the bar —
structural floor (a report must name its adjudicator and carry a coverage
map), stale-report mtime guard — and that is where it stops. There is no
cryptographic binding between the report and the paper, deliberately: this is
a research-workflow gate, not a provenance system, and the honest statement is
that a determined executor can hand it a stale report. Likewise human: / checker: / cross-family-review: labels are
accountability, not authentication: a false label is an explicit,
permanent false record.
- Out of scope: a party rewriting the
.aris/artifacts consistently with
shell access has owner power (they could delete the directory outright).
The gate defends against the sloppy or corner-cutting executor and against
honest crashes/races/resumes — not against the machine's owner.
Pin-bump checklist (maintainers)
1. Set the new ANTI_AR_COMMIT; delete no markers (the eval gate re-runs
automatically for the new SHA).
2. Diff upstream's schemas/report.schema.json + verdict vocabulary against
the gate's policy table; extend tools/forensics_gate.py BEFORE bumping if
they moved.
3. Old findings/obligations stay valid (fingerprints are span/hash-based, not
id-based) — but findings produced by an older adjudicator must be
re-audited, not re-adjudicated (upstream's own migration rule).
4. Tell users when a bump changes how much they must disposition. fresh
rejects every stored gate.json at the old pin with PIN_MISMATCH, so a
bump already forces a re-sweep for everyone — bundle upstream changes behind
ONE bump rather than two, or the re-sweep cost is paid twice.
> 2026-08 bump (98a75fc) — expect more open obligations. Upstream moved
> from adjudicating proposals to reporting them: findings its FP-risk,
> observability, surface and needs-external-check gates used to demote to info
> now arrive above info, so they open obligations. Nothing got worse in the
> paper; more of what the auditors said is now visible. Waiving a proposal you
> judge wrong is the expected disposition, and the report's per-finding columns
> (Anchored, Observability, FP-risk, Surface, Ext-check) are what you
> weigh. Upstream also deleted its report self-binding hashes in the same window
> — nothing here ever consumed them.
Codex-native note (mirror)
Upstream ships no Codex-native pack; its auditor skills are Claude-Code
contracts. A Codex-native session may run upstream's **deterministic-only
mode** (numeric core + adjudicator with an all-review_unavailable coverage
map — honestly scoped: it can flag, it can never say CLEAN). The full
nine-dimension sweep requires a host that can execute upstream's Claude-Code
contracts unchanged — Claude Code and the dsh-aris bundle on DeepSeek Harness
are the known ones. Translating upstream's
reviewer calls into spawn_agent on the fly is REWRITING an upstream
contract — forbidden.
Review tracing
Upstream saves its own per-dimension traces under the paper's
.aris/traces/. The launcher adds only the .aris/forensics/ artifacts:
gate.json (pins anti_ar_commit + report/ledger hashes + the paper-text
fingerprint), obligations.json (the append-only ledger), and
last_report.json (the sha-verified archive of the folded report that
fresh recomputes from).
常見問題
paper-writing 技能有什麼用途?
自動化完整的論文寫作流程,將報告轉換為可提交的 PDF。
如何安裝 paper-writing?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
paper-writing 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 paper-writing 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
paper-writing 是免費的嗎?
此技能由 wanshuiyin 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。