document-processing

document-processing is a skill for Claude Code, Codex from Luohaothu/everything-codex. It costs 21 tokens per session (952 once invoked), scanned A, original, MIT.

A document-processing guide for turning PDFs, scans, images, emails, web pages, or word-processing files into validated JSON or CSV data.

In plain words
What is it for?
Use it to plan extraction from documents such as invoices, contracts, medical records, policies, resumes, or reports.
Why use it?
It helps make extracted information consistent and auditable by defining fields, handling edge cases, recording its source, and reporting errors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan extraction from documents such as invoices, contracts, medical records, policies, resumes, or reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/luohaothu/everything-codex/document-processing
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 Luohaothu/everything-codex --skill document-processing
Clone the repo
git clone --depth 1 https://github.com/Luohaothu/everything-codex

Made for: Claude Code, Codex.

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-processing

README.md
[![agentmods](https://agentmods.dev/badge/skills/luohaothu/everything-codex/document-processing/github.svg)](https://agentmods.dev/skills/luohaothu/everything-codex/document-processing)
Your own site
<a href="https://agentmods.dev/skills/luohaothu/everything-codex/document-processing"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/document-processing/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-processing

Your own site · 80×15
<a href="https://agentmods.dev/skills/luohaothu/everything-codex/document-processing"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/document-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 952 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 $0.00021 $0.00952
Opus 5.5 $0.00008 $0.00381
Sonnet 5.5 $0.00004 $0.00190
Haiku 4.5 $0.00002 $0.00095

Measured 1mo ago against content hash 660097549141, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

document-processing 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 1mo 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/document-processing/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Document Processing

Use this skill when you need to turn unstructured or semi-structured documents (PDFs, scans, images, HTML, emails, DOCX) into structured outputs (JSON/CSV) with validation, provenance, and clear error handling.

First Questions (Fail Fast)

Before proposing an approach, clarify:

  • Document types: invoices, contracts, medical records, policies, resumes, reports, etc.
  • Input format: native PDF vs scanned images; single vs multi-file batches; average pages.
  • Extraction goal: which fields, tables, entities, and relationships matter.
  • Output contract: JSON schema or CSV columns; required vs optional fields; nullability rules.
  • Quality bar: acceptable error rate; whether human review is required; SLA and throughput.
  • Privacy constraints: PII/PHI handling, retention limits, and redaction requirements.

If any of these are unknown, state assumptions explicitly and propose options.

Prefer an explicit schema and provenance so consumers can trust the results.

Suggested JSON shape

{
  "document_id": "string",
  "document_type": "string",
  "source": {
    "filename": "string",
    "page_count": 12
  },
  "extracted": {
    "fields": {
      "vendor_name": "string",
      "invoice_number": "string",
      "total_amount": 123.45,
      "currency": "USD"
    },
    "tables": [
      {
        "name": "line_items",
        "rows": [
          { "description": "string", "quantity": 1, "unit_price": 1.23, "amount": 1.23 }
        ]
      }
    ]
  },
  "provenance": [
    {
      "path": "extracted.fields.total_amount",
      "evidence": "snippet or normalized text",
      "location": { "page": 2, "bbox": [0, 0, 0, 0] },
      "confidence": 0.92
    }
  ],
  "validation": {
    "status": "pass",
    "errors": []
  }
}

Rules:

  • Never invent missing facts. Use null or omit optional fields, and add a validation error.
  • Normalize units and formats (dates, currencies, decimals) and record the normalization.
  • Carry provenance (page/section reference) for high-impact fields.

Read the full file on GitHub · 113 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. 1mo ago First seen · 113 lines · 21 tokens per session scan A 660097549141

Subscribe to this mod's changes

document-processing is a skill published in the GitHub repository Luohaothu/everything-codex (25 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 952 once invoked, about $0.0001 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 2026-09-03.

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