agent-readiness-scan

agent-readiness-scan is a skill for Claude Code from techhorizonlabs/thl-open. It costs 79 tokens per session (1,127 once invoked), scanned A, original, MIT.

A scan that retrieves Cloudflare's agent-readiness result for a website, including its checks, evidence, and score from 0 to 100.

In plain words
What is it for?
It is for client audits and re-scans covering items such as negotiation, MCP, llms.txt, and Content-Signal checks. It can track score changes after fixes.
Why use it?
It turns a website's compatibility with AI-related web standards into saved audit evidence that can be compared later.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the thl-open plugin — 17 skills shipped together

Good fit It is for client audits and re-scans covering items such as negotiation, MCP, llms.txt, and Content-Signal checks. It can track score changes after fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/techhorizonlabs/thl-open/agent-readiness-scan
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 techhorizonlabs/thl-open --skill agent-readiness-scan
Clone the repo
git clone --depth 1 https://github.com/techhorizonlabs/thl-open

Made for: Claude Code.

Or install thl-open, the plugin that ships this one along with the rest of its 17 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 agent-readiness-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/agent-readiness-scan/github.svg)](https://agentmods.dev/skills/techhorizonlabs/thl-open/agent-readiness-scan)
Your own site
<a href="https://agentmods.dev/skills/techhorizonlabs/thl-open/agent-readiness-scan"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/agent-readiness-scan/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 agent-readiness-scan

Your own site · 80×15
<a href="https://agentmods.dev/skills/techhorizonlabs/thl-open/agent-readiness-scan"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/agent-readiness-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,127 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00079 $0.01127
Opus 5.5 $0.00032 $0.00451
Sonnet 5.5 $0.00016 $0.00225
Haiku 4.5 $0.00008 $0.00113

Measured 16d ago against content hash 71c4915b8341, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-readiness-scan 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 16d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/run_scan.sh, scripts/scan_to_csv.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

3. **Scored vs supplementary.** llms.txt, llms-full.txt, security.txt are NOT scored by Cloudflare but Theo audits track them. They go in `Supplementary (not scored)` rows from curl probes, never mixed into scored catego
skills/agent-readiness-scan/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent-Readiness Scan (isitagentready.com)

Produce the official Cloudflare agent-readiness result for a domain as audit-grade artifacts: fixed-schema CSV + raw evidence + the 0-100 score.

Critical facts (learned the hard way)

  1. Two sources, both required:
    • POST https://isitagentready.com/api/scan body {"url":"https://<domain>"} → full JSON (level, levelName, per-check status + embedded request/response evidence, nextLevel remediation prompts + skillUrls). No numeric score in the JSON.
    • The 0-100 score renders only in the web UI. Playwright-navigate to https://isitagentready.com/<host> and read the score dial: an <svg> carrying aria-label="Overall score: N out of 100". Never wait_for that text: it's an attribute, not visible text (text-waits time out). Take a page snapshot or evaluate document.querySelector('[aria-label*="Overall score"]'). A fresh "Last scanned" timestamp = results are rendered (the step-1 API POST itself refreshes the scan, so no Scan click is normally needed). Without the 0-100 you cannot track deltas (e.g. a site improving 21→43 after fixes).
  2. Don't freeze the checklist. The scanner evolves (new checks appear). Emit whatever .checks returns, mapped through the fixed CSV schema; never hand-author check rows.
  3. Scored vs supplementary. llms.txt, llms-full.txt, security.txt are NOT scored by Cloudflare but Theo audits track them. They go in Supplementary (not scored) rows from curl probes, never mixed into scored categories.
  4. Commerce is informational unless isCommerce is true: one NOT CHECKED row, "does not affect score".

Workflow

scripts/run_scan.sh https://<domain> <outdir>/raw-data

Then get the official score via Playwright (see Critical fact 1 for the exact method). Save the page snapshot to raw-data/isitagentready_<client-slug>_snapshot.txt (client slug, e.g. acme, matching your audit config slug). Then:

python3 scripts/scan_to_csv.py \
  <outdir>/raw-data/iar_scan.json --score <N> --out <outdir>/csv-base-data/agent_readiness_checks.csv

(csv-base-data/ is the Theo full-pack convention; scoped snapshots have used plain csv/; either is fine, pass --out explicitly.)

Read the full file on GitHub · 55 lines

Files

What ships with it

2 files 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. 16d ago Changed 71c4915b8341
  2. 1mo ago First seen · 55 lines · 79 tokens per session scan A 2bf25b6b8490

Subscribe to this mod's changes

agent-readiness-scan is a skill published in the GitHub repository techhorizonlabs/thl-open (18 stars, last pushed 16d ago), licensed MIT. It adds 79 tokens to every session and 1,127 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.

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