document-audit-extraction

document-audit-extraction is a skill for Claude Code from organvm-iv-taxis/a-i--skills. It costs 53 tokens per session (1,766 once invoked), scanned A, original, Apache-2.0.

A method for reviewing a collection of documents by listing what exists, grouping documents by type, checking quality, and extracting structured information. It includes an inventory format with details such as file type, size, dates, and word count.

In plain words
What is it for?
Building document inventories, classifying files, checking coverage and quality, finding gaps, and extracting consistent metadata or features.
Why use it?
It turns a scattered document collection into an organized overview and helps reveal missing, weak, or incomplete content.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the example-skills plugin — 47 skills, 2 commands, 1 agent shipped together

Good fit Building document inventories, classifying files, checking coverage and quality, finding gaps, and extracting consistent metadata or features.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/organvm-iv-taxis/a-i--skills/document-audit-extraction
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 organvm-iv-taxis/a-i--skills --skill document-audit-extraction
Clone the repo
git clone --depth 1 https://github.com/organvm-iv-taxis/a-i--skills

Made for: Claude Code.

Or install example-skills, the plugin that ships this one along with the rest of its 47 skills, 2 commands, 1 agent.

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 document-audit-extraction

README.md
[![agentmods](https://agentmods.dev/badge/skills/organvm-iv-taxis/a-i--skills/document-audit-extraction/github.svg)](https://agentmods.dev/skills/organvm-iv-taxis/a-i--skills/document-audit-extraction)
Your own site
<a href="https://agentmods.dev/skills/organvm-iv-taxis/a-i--skills/document-audit-extraction"><img src="https://agentmods.dev/badge/skills/organvm-iv-taxis/a-i--skills/document-audit-extraction/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 document-audit-extraction

Your own site · 80×15
<a href="https://agentmods.dev/skills/organvm-iv-taxis/a-i--skills/document-audit-extraction"><img src="https://agentmods.dev/badge/skills/organvm-iv-taxis/a-i--skills/document-audit-extraction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,766 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 $0.00053 $0.01766
Opus 5 $0.00026 $0.00883
Sonnet 5 $0.00011 $0.00353
Haiku 4.5 $0.00005 $0.00177

Measured 12d ago against content hash 824db9def76d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

document-audit-extraction 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 12d ago.

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.

distributions/claude/skills/document-audit-extraction/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Document Audit & Feature Extraction

Systematically inventory, evaluate, and extract structured data from document collections.

Audit Framework

Four-Phase Audit

Phase 1: Inventory    → What exists?
Phase 2: Classify     → What type is each document?
Phase 3: Evaluate     → What's the quality?
Phase 4: Extract      → What structured data can we pull?

Phase 1: Inventory

Automated Inventory

from pathlib import Path
from dataclasses import dataclass

@dataclass
class DocumentEntry:
    path: str
    name: str
    extension: str
    size_bytes: int
    modified: str
    word_count: int
    has_frontmatter: bool

def inventory_documents(root: str, patterns: list[str] = ["*.md", "*.txt", "*.yaml"]) -> list[DocumentEntry]:
    entries = []
    for pattern in patterns:
        for path in Path(root).rglob(pattern):
            content = path.read_text(errors="ignore")
            entries.append(DocumentEntry(
                path=str(path.relative_to(root)),
                name=path.stem,
                extension=path.suffix,
                size_bytes=path.stat().st_size,
                modified=path.stat().st_mtime,
                word_count=len(content.split()),
                has_frontmatter=content.startswith("---"),
            ))
    return entries

Inventory Report

## Document Inventory

| Path | Type | Words | Frontmatter | Modified |
|------|------|-------|-------------|----------|
| skills/dev/testing/SKILL.md | skill | 1,245 | Yes | 2026-03-20 |
| docs/CHANGELOG.md | changelog | 890 | No | 2026-03-19 |
| README.md | readme | 450 | No | 2026-03-18 |

**Total:** 142 documents | **With frontmatter:** 105 | **Total words:** 185,000

Phase 2: Classification

Document Type Taxonomy

Type Signal Example
Skill YAML frontmatter with name:, in skills/ SKILL.md
Configuration YAML/JSON schema seed.yaml, registry.json
Guide Tutorial structure, step-by-step getting-started.md
Reference API docs, schema docs api-spec.md
Decision ADR format, options + decision adr-001.md
Changelog Date-ordered entries CHANGELOG.md
Policy Rules, constraints CONTRIBUTING.md

Read the full file on GitHub · 212 lines

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. 12d ago First seen · 212 lines · 53 tokens per session scan A 824db9def76d

Subscribe to this mod's changes

document-audit-extraction is a skill published in the GitHub repository organvm-iv-taxis/a-i--skills (17 stars, last pushed 16d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,766 once invoked, about $0.0003 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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