document-analysis-summary

document-analysis-summary is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 35 tokens per session (1,720 once invoked), scanned A, original, MIT.

A structured review of an official, leaked, or obtained document that summarizes its claims, gaps, contradictions, and newsworthy details.

In plain words
What is it for?
Use it to assess FOIA records, leaks, court documents, contracts, audits, memos, and email chains.
Why use it?
It helps reporters quickly understand what a document supports, leaves unanswered, or conflicts with. This makes follow-up reporting more focused.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to assess FOIA records, leaks, court documents, contracts, audits, memos, and email chains.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/document-analysis-summary
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 ur-grue/autopunk-media-skills --skill document-analysis-summary
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

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-analysis-summary

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/document-analysis-summary/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/document-analysis-summary)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/document-analysis-summary"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/document-analysis-summary/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-analysis-summary

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/document-analysis-summary"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/document-analysis-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,720 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 $0.00035 $0.01720
Opus 5 $0.00017 $0.00860
Sonnet 5 $0.00007 $0.00344
Haiku 4.5 $0.00003 $0.00172

Measured 8d ago against content hash 6470a09a3852, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

document-analysis-summary 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 8d 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.

skills/magazine-journalism/investigation/document-analysis-summary/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Document Analysis Summary

What This Skill Does

Produces a structured summary of a leaked, official, or obtained document, extracting key claims, notable gaps, internal contradictions, and the most newsworthy elements.

When To Use This Skill

  • You have received a document through a FOIA response, a leak, or court discovery and need to triage its contents quickly
  • You want to understand what a document does and does not say before briefing an editor
  • You need to identify follow-up questions and missing records suggested by the document's content
  • You are assessing whether a document corroborates, contradicts, or is irrelevant to a claim already made by a source

What You Need To Provide

Required: The full text or a detailed summary of the document; the document type (internal memo, contract, audit report, email chain, etc.); the story or investigation context Optional: Specific claims or allegations you are trying to verify or challenge; names or entities you want to cross-reference within the document; the document's provenance (how it was obtained)

How the Assistant Approaches This

  1. Reads the document for factual content: identifies the who, what, when, where, and any stated conclusions or recommendations
  2. Identifies what the document does not address — omissions that are significant given its stated purpose, gaps in dates or data, missing signatories, or redacted sections
  3. Flags internal contradictions — statements in different sections that conflict, discrepancies between stated figures and attached data, or language that appears to have been revised
  4. Ranks newsworthy elements by significance: what is new information, what confirms known facts, and what contradicts official statements
  5. Closes with a "Next Step" note: which follow-up document request to file first (based on the most significant finding or gap), and whether foia-request-writer or investigation-timeline-builder should be run to support the next reporting phase

Output Format

Structured summary, 400–700 words. Sections: Document Overview (type, date, author/origin, stated purpose), Key Findings (bulleted), Notable Omissions (bulleted), Internal Contradictions (bulleted, if any), Newsworthy Elements by Priority (ranked 1–5), Suggested Follow-up Documents or Questions. Neutral, factual register — no editorial framing. Output ends with a "Next Step" note: which follow-up document request to file first and whether to run foia-request-writer or investigation-timeline-builder next.

Read the full file on GitHub · 121 lines

Files

What ships with it

1 file 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. 8d ago First seen · 121 lines · 35 tokens per session scan A 6470a09a3852

Subscribe to this mod's changes

document-analysis-summary is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 11d ago), licensed MIT. It adds 35 tokens to every session and 1,720 once invoked, about $0.0002 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 2026-09-04.

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