audit

audit is a skill for Claude Code from yha9806/academic-writing-toolkit. It costs 22 tokens per session (1,813 once invoked), scanned A, original, MIT.

A review skill for checking a thesis before submission for conflicting numbers, inconsistent terms, broken cross-references, and arithmetic errors.

In plain words
What is it for?
Use it to compare statistics across chapters, check that terminology and abbreviations are consistent, verify section references, and find calculation problems.
Why use it?
It catches internal mistakes that can make academic work unclear or undermine confidence in its results.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it to compare statistics across chapters, check that terminology and abbreviations are consistent, verify section references, and find calculation problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yha9806/academic-writing-toolkit/audit
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 audit
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.

agentmods badge for audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/audit/github.svg)](https://agentmods.dev/skills/yha9806/academic-writing-toolkit/audit)
Your own site
<a href="https://agentmods.dev/skills/yha9806/academic-writing-toolkit/audit"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/audit/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.

agentmods 80×15 button for audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/yha9806/academic-writing-toolkit/audit"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,813 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.01813
Opus 5 $0.00011 $0.00907
Sonnet 5 $0.00004 $0.00363
Haiku 4.5 $0.00002 $0.00181

Measured today against content hash 0ebfbdb94eb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

audit 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 today.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/audit-citation-fidelity.mjs, scripts/audit-claim-positioning.py, scripts/audit-prose-fingerprint.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.

.claude/skills/audit/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/audit — Thesis Consistency Audit Skill

Running Python helpers

Choose the interpreter before running the examples. For a globally installed copy, use the private runtime recorded by its installer. In a checkout or linked workspace, use AWT_PYTHON when set, otherwise the toolkit's .venv (follow the skill directory link back to the toolkit): Scripts/python.exe on Windows, bin/python on macOS/Linux. Without that environment, check that python (Windows) or python3 (macOS/Linux) actually runs and has the helper's dependencies. Replace the example's python3 with that executable. In PowerShell, prefix a quoted executable with &; keep commands on one line and quote file paths.

Purpose

Scan all thesis chapters for internal data consistency issues: contradictory numbers, inconsistent terminology, broken cross-references, and arithmetic errors. This is a pre-submission quality check.

Trigger Words

This skill activates on: audit, consistency check, check numbers, /audit.

Workflow

  1. Scan all chapter files in the chapters/ directory using Glob. Read each file to extract quantitative claims, terminology, and cross-references.

  2. Check the following categories:

    A. Numerical consistency

    • The same statistic (e.g., accuracy, sample size, p-value) cited in multiple chapters must have the same value.
    • Percentages in a distribution must sum to 100% (with tolerance of +/-1% for rounding).
    • Counts (e.g., "42 models") must match between chapters.

    B. Terminological consistency

    • The same concept must use the same term throughout. Flag cases where synonyms are used inconsistently (e.g., "structured review" vs "systematic review" for the same concept).
    • Abbreviations must be defined on first use in each chapter.

    C. Cross-reference validity

    • References to other sections (e.g., "as discussed in Section 3.2") must point to sections that exist.
    • References to tables and figures must match actual table/figure numbers.
    • Forward references ("Chapter 6 will show...") must be fulfilled.

Read the full file on GitHub · 158 lines

Files

What ships with it

3 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.

  1. today Changed · +11 lines 0ebfbdb94eb3
  2. 2d ago Changed · +9 lines 12e2ec5f0d94
  3. 3d ago Changed · +47 lines · -2 tokens per session 5dd61dbc9bf6
  4. 10d ago First seen · 91 lines · 24 tokens per session scan A c9b276cd2bea

Subscribe to this mod's changes

audit is a skill published in the GitHub repository yha9806/academic-writing-toolkit (36 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 1,813 once invoked, about $0.0001 per session on Opus 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.

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