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.
npx skills add shipshapedata/agent-tools --skill agent-readiness-auditgit clone --depth 1 https://github.com/shipshapedata/agent-toolsWrote 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.
[](https://agentmods.dev/skills/shipshapedata/agent-tools/agent-readiness-audit)<a href="https://agentmods.dev/skills/shipshapedata/agent-tools/agent-readiness-audit"><img src="https://agentmods.dev/badge/skills/shipshapedata/agent-tools/agent-readiness-audit.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00077 | $0.00847 |
| Opus 5 | $0.00039 | $0.00424 |
| Sonnet 5 | $0.00015 | $0.00169 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
agent-readiness-audit scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Audit how well a website serves AI agents by probing its standard discovery surface. Everything here is plain HTTP GETs against well-known paths; no tooling beyond fetch/curl is needed. Run the probes, then report what e How it starts
The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent readiness audit
Audit how well a website serves AI agents by probing its standard discovery surface. Everything here is plain HTTP GETs against well-known paths; no tooling beyond fetch/curl is needed. Run the probes, then report what exists, what is missing, and the fix for each gap.
The probes, in order of importance
For the target domain https://example.com, check each of these and note status code, content type, and whether the content is real or a stub:
/llms.txt: the site guide for agents. Good ones are a curated navigation index under ~30k characters with markdown links that resolve. A missing or bloated llms.txt is the single most common gap./robots.txt: look for explicit AI-crawler sections (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), aContent-Signal:line, and whether user-triggered agents (ChatGPT-User, Claude-User) are allowed. Open-by-default scores worse than a considered, tiered policy.- Markdown availability: fetch a content page with
Accept: text/markdown, try the page URL plusindex.md, and look forrel="alternate" type="text/markdown"in the HTML head. Agents parse markdown far more reliably than a JS-heavy DOM. /openapi.json(also/api,/docs,/developers): a real, reachable API with a spec is the difference between "agents can read about you" and "agents can use you". Check error responses are JSON, not HTML.- MCP surface:
/.well-known/mcp.json,/.well-known/mcp/server-card.json, and a POST of a JSON-RPCinitializeto any advertised endpoint. Also search the official registry:https://registry.modelcontextprotocol.io/v0/servers?search=<domain>. - Identity and trust: homepage JSON-LD (Organization with
sameAsandcontactPoint, plus extended types like Service),/.well-known/ard.json,/.well-known/agent-card.json(A2A),/auth.md. - Sitemap hygiene:
/sitemap.xmlexists, entries carrylastmod, and the newest entry is recent.
Reporting
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.
- 6d ago First seen · 35 lines · 77 tokens per session scan A 89fcc95db18d
agent-readiness-audit is a skill published in the GitHub repository shipshapedata/agent-tools (0 stars, last pushed 9d ago), licensed MIT. It adds 77 tokens to every session and 847 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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