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 escapeboy/ai-prompts --skill agent-readygit clone --depth 1 https://github.com/escapeboy/ai-promptsWrote 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/escapeboy/ai-prompts/agent-ready)<a href="https://agentmods.dev/skills/escapeboy/ai-prompts/agent-ready"><img src="https://agentmods.dev/badge/skills/escapeboy/ai-prompts/agent-ready.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00130 | $0.01690 |
| Opus 5 | $0.00065 | $0.00845 |
| Sonnet 5 | $0.00026 | $0.00338 |
| Haiku 4.5 | $0.00013 | $0.00169 |
Grade A, and why
agent-ready scanned grade A with 0 findings 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 8d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent-Ready audit & implementation
Turn a raw isitagentready.com scan into a selective remediation: scan → triage by ROI for this site type → implement only what pays back → re-scan to prove it. Do not blindly implement every failing check — most agentic-API/commerce checks are irrelevant to content sites and implementing them is pure gold-plating.
The scanner is Cloudflare's; its checks map to real emerging standards. The authoritative
engine is its JSON API: POST https://isitagentready.com/api/scan {"url":"..."}.
Phase 0 — Determine the target URL (the PUBLIC/production site)
The scan must hit the deployed public site, not localhost. Find the candidate, in order:
- Explicit arg the user passed to the skill.
- Project config: Laravel
.envAPP_URL; Next/Nodepackage.jsonhomepageorNEXT_PUBLIC_SITE_URL; static siteCNAME/deploy config; else thegit remote/ README canonical domain. - If the candidate is
localhost/an IP/obviously non-public, ask the user for the production domain. Never scan localhost — the emerging endpoints won't exist there.
Normalize to https://<domain>.
Phase 1 — Scan
Run the scanner (saves full JSON, prints a compact triage table):
python3 <skill_dir>/scripts/scan.py https://<domain> --out <scratchpad>/agentready.json
It prints: level / levelName, every check's status (pass / fail / neutral /
unableToCheck), isCommerce, and nextLevel.requirements (the official next-step fixes,
each with a prompt and a skillUrl to Cloudflare's own SKILL.md for that fix). If the
API is unreachable, the script falls back to direct endpoint probes (--probe forces it).
Treat neutral as not applicable — no action (the scanner already decided the check
doesn't apply, e.g. commerce checks on a non-commerce site). Only fail is a candidate
for fixing. Treat unableToCheck as couldn't reach it (usually a 403/timeout) — probe
the endpoint directly (--probe) before deciding; don't assume it's simply absent.
What ships with it
3 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.
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.
- 8d ago First seen · 122 lines · 130 tokens per session scan A 3e48494b8162
agent-ready is a skill published in the GitHub repository escapeboy/ai-prompts (91 stars, last pushed 12d ago), licensed MIT. It adds 130 tokens to every session and 1,690 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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