agent-readiness-audit SKILL.md skillA
agent-readiness-audit from mohitagw15856/pm-claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mohitagw15856/pm-claude-skills/agent-readiness-audit@git:20261006.b9ea321Pins git:20261006.b9ea321 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mohitagw15856/pm-claude-skills
- Path
plugins/pm-agentnative/skills/agent-readiness-audit/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261006.b9ea321, committed Oct 6, 2026
- First version recorded
- Jul 2, 2026
- Size
- 5,577 bytes
- Repository stars
- 1,475
- License
- MIT
Audit whether AI agents can actually use your product — docs, APIs, onboarding, errors, and discoverability, evaluated from a non-human user's perspective. Use when asked if a product is agent-ready, to audit a site or API for AI usability, to prepare for agentic traffic, or when agents keep failing against your product. Produces a scored readiness report with per-surface findings and a prioritised fix list. For optimising a single article for AI citation use aeo-optimizer; for designing the…
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
# Agent Readiness Audit Skill A growing share of your product's users aren't human: agents research it, evaluate it, onboard onto it, and operate it on their principals' behalf. They can't watch your demo video, guess what an unlabeled icon means, or call support. This skill audits every surface an agent touches and scores how much of your product is invisible or unusable to them. ## What This Skill Produces - A **readiness score by surface** (discovery, docs, API/auth, errors, onboarding, transactions) - **Per-surface findings** with the failing artifact quoted and the fix - A **prioritised fix list** ranked by agent-traffic impact vs effort - A **re-test protocol** so readiness is measured, not vibed ## Required Inputs Ask for (if not already provided): - **The product** and its public surfaces (site, docs URL, API reference, status page) - **What agents will be asked to do** with it — research/compare? sign up? operate it daily? - **What exists already**: llms.txt? MCP server? OpenAPI spec? If unknown, the audit checks - **Any observed agent failures** (the best audit seed there is) ## The Audit Surfaces …
Read the whole file at its exact version.
How to install
mdr add mohitagw15856/pm-claude-skills/agent-readiness-audit@sha256:0894a64e0e4bef5aThe line at the top of this page pins the label git:20261006.b9ea321, 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.
[](https://markdownregistry.com/a/art_zcynjf6pz735e4ig)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 2, 2026 and Oct 6, 2026, about one every 96 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261006.b9ea321 latest | 2026-10-06 | b9ea321 | 5,577 B | A | view · diff |
| git:20260702.fbaacbd | 2026-07-02 | fbaacbd | 5,440 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5577 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
mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zcynjf6pz735e4ig GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/agent-readiness-audit GET https://markdownregistry.com/api/v1/blob/0894a64e0e4bef5a4c7b558f427d8320fa6c00272508071d6dd3ccc5f033d845
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.
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