Borrowing it
Nothing to install: this file belongs to sandeep-alluru/notarize. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandeep-alluru/notarize/main/.claude/commands/test.mdgit clone --depth 1 https://github.com/sandeep-alluru/notarizeWrote 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/commands/sandeep-alluru/notarize/test)<a href="https://agentmods.dev/commands/sandeep-alluru/notarize/test"><img src="https://agentmods.dev/badge/commands/sandeep-alluru/notarize/test/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.
<a href="https://agentmods.dev/commands/sandeep-alluru/notarize/test"><img src="https://agentmods.dev/badge/commands/sandeep-alluru/notarize/test.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00157 |
| Opus 5.5 | $0.00000 | $0.00063 |
| Sonnet 5.5 | $0.00000 | $0.00031 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
test 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 1mo 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.
This is a copy
100% identical to test — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Run the full test suite with coverage and report results.
Steps:
- Run:
make test(equivalent to:pytest tests/ --cov=<name> --cov-report=term-missing) - Report:
- Total tests, passed, failed, skipped
- Coverage percentage — flag if below 85%
- Any failing tests: show the test name, error message, and the relevant source line
- If any tests fail, diagnose the root cause before suggesting a fix:
- Is it a logic error in the implementation?
- Is it a test that needs updating due to an intentional behavior change?
- Is it a missing edge case?
- Do NOT suggest disabling or skipping tests to make the suite pass.
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.
- 1mo ago First seen · 15 lines · 0 tokens per session scan A 737c346e7e7c
test is a command published in the GitHub repository sandeep-alluru/notarize (0 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 157 tokens. A static security scan graded it A with 0 findings. It is 100% identical to test, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
replay
Replay recorded AI traces to detect behavioral drift between model versions.
test
Write tests using MCP-powered discovery.
cl-verify
Shortcut for /quorum:verify — run done-criteria checks (CQ/T/CC/CL/S/I/FV/CV).
prototype
You are building a proof-of-concept for the current Grainulator sprint. Read CLAUDE.md for sprint context and claims.json for existing research claims.
test-coverage
Analyze test coverage and identify the highest-value gaps to fill.
flowspec.validate
../../templates/commands/flow/validate.md.