Agent skill

Whitepaper Audit

by glebis in glebis/claude-skills

Audit a white paper or long-form technical document against a research-grounded best-practices checklist.

MITAuto-check passedDocuments & Office

Install Whitepaper Audit

skills CLI
$ npx skills add glebis/claude-skills --skill whitepaper-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install glebis/claude-skills whitepaper-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/whitepaper-audit .claude/skills/whitepaper-audit && rm -rf skills-src

Use ~/.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/

Facts

Skill name
whitepaper-audit
GitHub stars
391
Token cost
~752 tokens
SKILL.md length
273 words
Files
14 (incl. scripts, references)
Skills in repo
92
Repo updated
First seen
Licence
MIT

At a glance

Audit a white paper or long-form technical document against a research-grounded best-practices checklist.

  • Works in 5 steps: Lane 1 — deterministic → Lane 2 — LLM judge → Merge → …
  • The user says audit this white paper
  • SKILL.md covers Inputs, Workflow, Evals and Files
  • Runs Python scripts from its folder; calls python3

What it does

Whitepaper Audit is an agent skill from glebis/claude-skills. Audit a white paper or long-form technical document against a research-grounded best-practices checklist. Two lanes — deterministic script checks (readability, undefined acronyms, structure blocks, broken links) plus an LLM-judge review (overclaims, inconsistent numbers, buried lede, limitations honesty, audience fit). Produces a prioritized P0–P2 findings report by default; applies fixes on explicit request (TDD for any code changes). Use when the user says "audit this white paper", "review my paper against best…

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts and reference files (for example `DESIGN.md`, `evals/README.md` and `evals/RESULTS.md`).

It sits in Documents & Office, covering Report writing and LLM evaluation. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

  • The user says audit this white paper
  • Review my paper against best practices
  • Check this doc for overclaims
  • Is this paper ready to publish

Example prompts

  • “audit this white paper”
  • “review my paper against best practices”
  • “check this doc for overclaims”
  • “/whitepaper-audit”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Lane 1 — deterministic
  2. Lane 2 — LLM judge
  3. Merge
  4. Report (default mode)
  5. Fix mode (only when explicitly requested)

What it can do on your machine

Read from SKILL.md and the folder at commit 3b88261. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Whitepaper Audit loads about 752 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 173 tokens; SKILL.md has 273 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~173
When it runs · the whole SKILL.md, loaded when a task matches
~752
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

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.

Safety

Auto-check passed

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); the scripts in this folder are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 273 words, ~752 tokens.

Download SKILL.mdSave it as .claude/skills/whitepaper-audit/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
whitepaper-audit
description
Audit a white paper or long-form technical document against a research-grounded best-practices checklist. Two lanes — deterministic script checks (readability, undefined acronyms, structure blocks, broken links) plus an LLM-judge review (overclaims, inconsistent numbers, buried lede, limitations honesty, audience fit). Produces a prioritized P0–P2 findings report by default; applies fixes on explicit request (TDD for any code changes). Use when the user says "audit this white paper", "review my paper against best practices", "check this doc for overclaims", "whitepaper QA", "is this paper ready to publish", or wants prioritized recommendations on a technical document.

whitepaper-audit

Audit a markdown white paper in two lanes and produce one merged, prioritized report.

Inputs

  • Document path (required) — markdown source, not PDF.
  • Stated audience (ask if not given) — severity of audience-fit/jargon-undefined depends on it. Default: "technical practitioners, non-academic".
  • Mode — recommend (default) or fix (only on explicit request).

Workflow

1. Lane 1 — deterministic
bash
python3 scripts/check_doc.py <doc.md> --offline [--target-grade N] [--allow ACRO]

Drop --offline to also check http(s) links (HEAD→GET, timeouts; only broken is a finding). Output: JSON findings, schema in DESIGN.md.

2. Lane 2 — LLM judge

Dispatch a subagent (fresh context — never judge a document you wrote in the same context) with references/audit-prompt.md, filling {PATH} and {AUDIENCE}, plus the [judge] criteria from references/checklist.md. The judge returns JSON findings.

Judge calibration rules are binding: verbatim quotes required; no P0 at low confidence; "needs verification", never "factually wrong".

3. Merge

Dedupe by (location, issue type) keeping both lane attributions; sort P0 → P1 → P2, then confidence. Cross-reference: a lane-1 broken link that supports a claim (judge decides materiality) is P1; decorative → P2.

4. Report (default mode)

Write a markdown report: summary verdict, findings table (id, severity, confidence, location, fix), then details. Recommend; do not edit.

5. Fix mode (only when explicitly requested)

Apply fixes P0-first. Any change to code goes through superpowers test-driven-development (test first, watch it fail). Prose fixes: edit, then re-run the full audit and report cleared vs remaining findings.

Evals

Before trusting a new/changed judge prompt, run evals/README.md procedure (planted defects + clean control; pass criteria inside). Lane 1 is covered by scripts/tests/test_check_doc.py (pytest).

Files

  • scripts/check_doc.py — lane 1 (stdlib-only; --help for flags)
  • references/checklist.md — operational criteria, both lanes
  • references/audit-prompt.md — judge prompt template
  • evals/ — judge validation cases + pass criteria
  • DESIGN.md — architecture decisions (v0.2, Codex-audited)

© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (scripts, references) in whitepaper-audit of glebis/claude-skills.

  • SKILL.md
  • DESIGN.md
  • evals/README.md
  • evals/RESULTS.md
  • evals/cases/clean-control.md
  • evals/cases/missing-limitations.md
  • evals/cases/planted-defects.md
  • evals/stripped/clean-control.md
  • evals/stripped/missing-limitations.md
  • evals/stripped/planted-defects.md
  • references/audit-prompt.md
  • references/checklist.md
  • scripts/check_doc.py
  • scripts/tests/test_check_doc.py

Open the folder on GitHubat commit 3b88261

Compare with similar skills

Whitepaper Audit 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.

Whitepaper Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Whitepaper Audit this skillglebis/claude-skills391—~752Automated safety check: PassMIT
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Make Photo Stamp ArchiveDlcccc71913/skill-make-photo-stamp-archive367—~1.3kAutomated safety check: PassMIT
Make Tape Collagesherlyryn/make-tape-collage118—~4.7kAutomated safety check: PassMIT
Ky Markdown RebuilderKyrieCheungYep/ky-markdown-rebuilder117—~5.7kAutomated safety check: PassNone
HTML Summarytestdouble/han281—~2.9kAutomated safety check: PassMIT

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Questions about Whitepaper Audit

What does Whitepaper Audit do?

Audit a white paper or long-form technical document against a research-grounded best-practices checklist. Whitepaper Audit is an agent skill from glebis/claude-skills. Audit a white paper or long-form technical document against a research-grounded best-practices checklist.

When should I use Whitepaper Audit?

Whitepaper Audit fits situations like: the user says audit this white paper; review my paper against best practices; check this doc for overclaims; is this paper ready to publish.

How do I install Whitepaper Audit in Claude Code?

Run `npx skills add glebis/claude-skills --skill whitepaper-audit -a claude-code`. Or copy the skill folder (whitepaper-audit in glebis/claude-skills) into .claude/skills/whitepaper-audit in your project. Claude Code loads it when a task matches its description.

How do I install Whitepaper Audit in Codex?

Run `npx skills add glebis/claude-skills --skill whitepaper-audit -a codex`. Or copy the skill folder (whitepaper-audit in glebis/claude-skills) into .agents/skills/whitepaper-audit in your project. Codex loads it when a task matches its description.

Can I use Whitepaper Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill whitepaper-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/whitepaper-audit, .gemini/skills/whitepaper-audit, .github/skills/whitepaper-audit and .opencode/skills/whitepaper-audit in your project.

What does Whitepaper Audit need to run?

Going by SKILL.md and its folder, Whitepaper Audit needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Whitepaper Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Whitepaper Audit safe to install?

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Whitepaper Audit use?

Whitepaper Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Whitepaper Audit use?

About 752 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Whitepaper Audit?

Skills that share tags, products or a category with Whitepaper Audit: Graphic Ebook (Varnan-Tech/opendirectory, 674 stars), Make Photo Stamp Archive (Dlcccc71913/skill-make-photo-stamp-archive, 367 stars), Make Tape Collage (sherlyryn/make-tape-collage, 118 stars) and Ky Markdown Rebuilder (KyrieCheungYep/ky-markdown-rebuilder, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Whitepaper Audit?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 391 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.

Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.