doc-accuracy SKILL.md skillA

doc-accuracy from rjmurillo/ai-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add rjmurillo/ai-agents/doc-accuracy@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: rjmurillo/ai-agents
Path: .claude/skills/doc-accuracy/SKILL.md
Versions recorded: 5
Latest version: v1.0.0, committed Oct 10, 2026
First version recorded: Aug 15, 2026
Size: 9,777 bytes
Repository stars: 48
License: MIT

Multi-phase documentation verification treating code as source of truth. Use when you say "check documentation accuracy", "verify code examples compile", "audit docs vs code", "check doc consistency", or "run doc-accuracy". Use for pre-release doc audits and checking behavioral claims. Do NOT use for broad codebase analysis (use analyze) or fixing markdown fence syntax (use fix-markdown-fences).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Documentation Accuracy Skill

Verify documentation claims against actual code behavior. Code is truth; docs are the subject under test.

## Triggers

| Trigger Phrase | Operation |
|----------------|-----------|
| `check documentation accuracy` | Full audit (Phases 1-6) |
| `verify code examples` | Compilability check (Phases 1-3) |
| `audit docs vs code` | Behavioral verification (Phases 1-4) |
| `check doc consistency` | Cross-document consistency (Phases 1-2, 5) |
| `run doc-accuracy` | Full audit (Phases 1-6) |

---

## When to Use

Use this skill when:

- Documentation may contain non-compilable code examples
- Behavioral claims in docs may contradict implementation
- Quantitative claims (performance, limits) appear in multiple files with different values
- Preparing for a release and need a documentation accuracy audit
- API reference may be missing public members

Use direct code review instead when:

- Investigating a single known documentation error
- The inaccuracy is already identified and needs a fix

---

## Replaces

| Skill | Reason |
|-------|--------|
| `incoherence` | 15.8% recall on critical issues; Haiku agents too shallow |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add rjmurillo/ai-agents/doc-accuracy@sha256:76803a34327a015a

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_gu7zxfx2t3s26fdu.svg)](https://markdownregistry.com/a/art_gu7zxfx2t3s26fdu)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Aug 15, 2026 and Oct 10, 2026, about one every 14 days.

version	committed	commit	size	audit
v1.0.0 latest	2026-10-10	a7d4c43	9,777 B	A	view · diff
v1.0.0	2026-10-07	05bfd87	9,649 B	A	view · diff
v1.0.0	2026-09-30	ff10310	9,480 B	A	view · diff
v1.0.0	2026-09-25	3fda96c	9,438 B	A	view · diff
v1.0.0	2026-08-15	5e9da76	9,275 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (9777 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

rjmurillo/ai-agents · 48 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gu7zxfx2t3s26fdu
GET https://markdownregistry.com/api/v1/resolve?ref=rjmurillo/ai-agents/doc-accuracy
GET https://markdownregistry.com/api/v1/blob/76803a34327a015a4a1db86336802acbaa76c08b3ac052472e387900c8b0d350

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.