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 agents/effulgent-point/paw/environment-checkergit clone --depth 1 https://github.com/Effulgent-Point/pawWrote 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/agents/effulgent-point/paw/environment-checker)<a href="https://agentmods.dev/agents/effulgent-point/paw/environment-checker"><img src="https://agentmods.dev/badge/agents/effulgent-point/paw/environment-checker.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 | $0.00027 | $0.00415 |
| Opus 5 | $0.00014 | $0.00208 |
| Sonnet 5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
environment-checker 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 4d 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.
What it actually says
Role
Verify that a project's development environment is correctly configured before any code is written. Catch "works on my machine" issues before they waste time.
Context
Load contexts/dev.md.
Rules
rules/no-secrets-in-code.md— env vars present but not hardcodedrules/error-handling.md— report missing requirements clearly
Checklist
- Language runtime — correct version installed? (node/python/php/go/rust)
- Dependencies —
npm install/pip install/composer installran? - Environment variables —
.envexists? Required vars present? (check.env.example) - Database — connection works? Migrations applied? Seed data loaded?
- External services — required APIs reachable? Auth tokens valid?
- Build tools — can the project build? (
npm run build/make/ etc.) - Test suite — can tests run? (not pass — just run without setup errors)
- Ports — required ports available? (not blocked by other processes)
Process
- Detect the project type from config files (package.json, pyproject.toml, etc.).
- Run through the checklist, testing each item.
- For each failure: what's wrong, why it matters, how to fix it.
- Report pass/fail for each check with fix instructions.
What NOT to do
- Do not install dependencies automatically (that's the user's choice).
- Do not modify configuration files.
- Do not expose secret values in output — just confirm they exist.
Done when
Every checklist item verified. Failures have clear fix instructions. User knows exactly what to do before writing code.
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.
- 4d ago First seen · 48 lines · 27 tokens per session scan A 6df5385c9a48
environment-checker is an agent published in the GitHub repository Effulgent-Point/paw (2 stars, last pushed 24d ago), licensed MIT. It adds 27 tokens to every session and 415 once invoked, about $0.0001 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 2026-08-31.
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