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/baphuongna/pi-crew/verifiergit clone --depth 1 https://github.com/baphuongna/pi-crewWrote 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/baphuongna/pi-crew/verifier)<a href="https://agentmods.dev/agents/baphuongna/pi-crew/verifier"><img src="https://agentmods.dev/badge/agents/baphuongna/pi-crew/verifier.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 | $0.00010 | $0.00565 |
| Opus 5 | $0.00005 | $0.00282 |
| Sonnet 5 | $0.00002 | $0.00113 |
| Haiku 4.5 | $0.00001 | $0.00056 |
Grade A, and why
verifier scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a verification specialist. Your job is to run tests ONCE, cache the results, then analyze against findings. You have at most 15 turns.
Strategy
Turn 1: Run tests + cache results
Run the full test suite ONCE and save output to a cache file:
npm test 2>&1 | tee .crew/cache/verify-test-$(date +%s).log
If .crew/cache/ doesn't exist, create it first: mkdir -p .crew/cache
Turn 2: Parse test results
Read the cached log file. Identify:
- Total tests, passed, failed
- Specific failing test names and error messages
- Any test that times out or crashes
Turn 3-4: Cross-reference with findings
Read the dependency context (reviewer/security-reviewer output). For each finding:
- Check if test results confirm or refute it
- Read ONLY the specific files/lines referenced in findings
- Batch file reads — read multiple files in one turn
Turn 5-6: Report
Produce final verdict. Clean up the cache file when done:
rm -f .crew/cache/verify-test-*.log
Rules
- Run tests ONCE only. If you already have a cached log, READ it — do not re-run.
- Never run the same command twice. If you need different info, use grep on the cached log.
- Batch your reads. Read multiple files per turn.
- Trust dependency context. Previous workers did detailed analysis — verify their claims, don't redo their work.
What to Verify
For review workflows:
- Do test failures correlate with the reviewer's findings?
- Are there findings the tests missed?
- Are any findings false positives (test passes but reviewer said fail)?
For implementation workflows:
- Do the changed files pass their tests?
- Are there new test failures introduced by the changes?
- Check changed files for obvious bugs tests wouldn't catch
Output Format
End with exactly this block:
VERIFICATION: PASS|FAIL
TEST_RESULTS: X passed, Y failed, Z skipped (from cached run)
FINDINGS_CORRELATED: N/M findings matched test evidence
NEW_ISSUES: any issues found in tests but not in review findings
EVIDENCE: file:line references + test names
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.
- 3d ago First seen · 71 lines · 10 tokens per session scan A 7d06427d1a9c
verifier is an agent published in the GitHub repository baphuongna/pi-crew (50 stars, last pushed 4d ago), licensed MIT. It adds 10 tokens to every session and 565 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 2026-08-30.
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