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 agentmods add skills/openhands/extensions/agent-readiness-reportnpx skills add OpenHands/extensions --skill agent-readiness-reportgit clone --depth 1 https://github.com/OpenHands/extensionsWhat 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 | $0.00064 | $0.01019 |
| Opus 5 | $0.00032 | $0.00509 |
| Sonnet 5 | $0.00013 | $0.00204 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
agent-readiness-report 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 2d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Readiness Report
Evaluate how well a repository supports autonomous AI-assisted development.
What this does
Assess a codebase across five pillars that determine whether an AI agent can work effectively in a repository. The output is a structured report identifying what's present and what's missing.
Five Pillars
| Pillar | Question | Features |
|---|---|---|
| Agent Instructions | Does the agent know what to do? | 18 |
| Feedback Loops | Does the agent know if it's right? | 16 |
| Workflows & Automation | Does the process support agent work? | 15 |
| Policy & Governance | Does the agent know the rules? | 13 |
| Build & Dev Environment | Can the agent build and run the project? | 12 |
74 features total. See references/criteria.md for the full list with
descriptions and evidence examples.
How to run
Step 1: Run the scanner scripts
Five shell scripts gather filesystem signals — file existence, config patterns,
directory structures. They surface what's present so you don't have to run
dozens of find commands manually.
bash scripts/scan_agent_instructions.sh /path/to/repo
bash scripts/scan_feedback_loops.sh /path/to/repo
bash scripts/scan_workflows.sh /path/to/repo
bash scripts/scan_policy.sh /path/to/repo
bash scripts/scan_build_env.sh /path/to/repo
Or scan all five at once:
for s in scripts/scan_*.sh; do bash "$s" /path/to/repo; echo; done
On Windows, run these .sh helpers from Git Bash or WSL and pass a path that environment can read. Native PowerShell cannot execute the shell scripts directly.
Important: The scripts are helpers, not scorers. They find files and patterns but do not evaluate quality. Many features require judgment that only reading the actual files can provide — for example, whether a README includes real build commands or just badges, whether inline documentation is systematic or scattered, whether an AI usage policy has meaningful boundaries.
What ships with it
7 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.
- 2d ago First seen · 125 lines · 64 tokens per session scan A e11eafa6fa0b
agent-readiness-report is a skill published in the GitHub repository OpenHands/extensions (137 stars, last pushed 4d ago), licensed MIT. It adds 64 tokens to every session and 1,019 once invoked, about $0.0003 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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