A clean-room self-review process for your own manuscript, paper, thesis chapter, rebuttal, or release packet. It judges only the supplied review materials and source references, without using prior conversation memory as evidence.

Use it for pre-submission checks, reviewer simulations, readiness audits, and claim-to-evidence reviews of your own work.

It exposes weaknesses in claims, evidence, argument structure, and submission readiness without accidentally filling gaps from unstated background knowledge.

self-review — Skill for Claude Code by yha9806

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add yha9806/academic-writing-toolkit --skill self-review

Clone the repo

git clone --depth 1 https://github.com/yha9806/academic-writing-toolkit

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/self-review/github.svg)](https://agentmods.dev/skills/yha9806/academic-writing-toolkit/self-review)

Your own site

<a href="https://agentmods.dev/skills/yha9806/academic-writing-toolkit/self-review"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/self-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yha9806/academic-writing-toolkit/self-review"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/self-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,259 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00069	$0.01259
Opus 5.5	$0.00028	$0.00504
Sonnet 5.5	$0.00014	$0.00252
Haiku 4.5	$0.00007	$0.00126

Measured 2mo ago against content hash 463ceec99918, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

self-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_self_review_packet.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

archive/skills/self-review/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/self-review - Clean-Room Manuscript Self-Review

Purpose

Audit the user's own work without letting memory, prior chats, unstated project knowledge, or the model's background knowledge become evidence.

The governing rule is:

self-review truth = explicit review packet + source anchor

Use /argument-governance first when the manuscript needs a formal intent, contribution, claim, and evidence map.

Codex-Only Baseline

Complete self-review with Codex, the review manifest, allowed sources, and the bundled packet checker. Do not require Gemini, gemini-agent, a second model, or a subagent. If an external review is available, keep it in Reviewer-risk inference or advisory notes and never use it as source support.

If /argument-governance is unavailable, manually extract the same clean-room argument spine from manifest-listed sources only.

Enhanced Advisory Mode

If the manifest and the user explicitly allow an API-key-backed advisory review, Codex may run or incorporate a second-model pass after the clean-room self-review packet is valid.

Rules:

the base clean-room review must be possible without the external call
API keys must be read from environment variables only
the manifest may name api_key_env_var, but must never store the key value
only manifest-approved source subsets may be sent externally
external findings must be placed under Reviewer-risk inference or advisory notes
external findings must be re-grounded against allowed sources before becoming revision actions
unsupported external comments stay unsupported

Core Rules

Use only files listed in the review manifest.
Treat prior chat memory, unstated project assumptions, model background knowledge, and unlisted notes as forbidden evidence.
Split every finding into Supported by packet, Not supported by packet, or Reviewer-risk inference.
Every supported finding must include a source anchor.
Do not repair missing evidence by remembering earlier conversations.
Do not treat generated reviews, agent drafts, or reviewer simulations as final evidence.
Do not edit the manuscript until the user approves specific revision actions.
Do not treat an unavailable external review tool as a blocker.

Read the full file on GitHub · 175 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago Changed · +23 lines · -15 tokens per session 463ceec99918
2mo ago First seen · 152 lines · 84 tokens per session scan A dca04da26ce4

Subscribe to this mod's changes

self-review is a skill published in the GitHub repository yha9806/academic-writing-toolkit (54 stars, last pushed 10d ago), licensed MIT. It adds 69 tokens to every session and 1,259 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Research Writing and docs academic-writing agent-skills ai-tools codex-cli cursor

self-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
self-reviewyha9806/academic-writing-toolkit	Skill	54	10d ago	MIT	A	69	Claude Code
academic-cvmuhammad1438/academic-writer-skills	Skill	7	7mo ago	MIT	A	0	Claude Code
argumentation-enginemuhammad1438/academic-writer-skills	Skill	7	7mo ago	MIT	A	0	Claude Code
conference-presentationmuhammad1438/academic-writer-skills	Skill	7	7mo ago	MIT	A	0	Claude Code
latex-writermuhammad1438/academic-writer-skills	Skill	7	7mo ago	MIT	A	0	Claude Code
preregistration-guidemuhammad1438/academic-writer-skills	Skill	7	7mo ago	MIT	A	0	Claude Code
cover-letter-writermuhammad1438/academic-writer-skills	Skill	7	7mo ago	MIT	A	0	Claude Code