agent-readiness-scan

agent-readiness-scan is a skill for Claude Code from techhorizonlabs/thl-open. It costs 79 tokens per session (1,128 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 1,128 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 $0.01128
Opus 5 $0.00039 $0.00564
Sonnet 5 $0.00016 $0.00226
Haiku 4.5 $0.00008 $0.00113

Measured 9d ago against content hash 2bf25b6b8490, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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 categ
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 — matches 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. 9d 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 (15 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 1,128 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 2026-08-30.

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