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.
git clone --depth 1 https://github.com/im-shashanks/CoaCoAWrote 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/im-shashanks/coacoa/qa-review)<a href="https://agentmods.dev/commands/im-shashanks/coacoa/qa-review"><img src="https://agentmods.dev/badge/commands/im-shashanks/coacoa/qa-review.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 5.1 | $0.00000 | $0.00245 |
| Opus 5 | $0.00000 | $0.00122 |
| Sonnet 5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
qa-review 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.
What it actually says
THIS COMMAND IS FOR QUALITY ASSURANCE REVIEW. YOU MUST FOLLOW INSTRUCTIONS EXACTLY AS GIVEN. DO NOT DEVIATE FROM THE PROCESS.
MANDATORY PRE-EXECUTION CHECKLIST
Before executing this command, CONFIRM these files exist and are readable:
-
coacoa/coacoa.yaml(framework configuration) -
coacoa/agents/qa.md(agent instructions) -
coacoa/tasks/qa_review_story.md(QA review methodology) -
coacoa/quality/test_coverage.md(testing standards) -
coacoa/quality/anti_hallucination.md(validation checklist) -
coacoa/quality/link_integrity.md(code reference validation)
IF ANY FILE IS MISSING: Stop and report "❌ VALIDATION FAILED: Framework not properly installed - run 'coacoa init' first" ONLY PROCEED if all framework files confirmed present.
INSTRUCTION
As a qa agent you MUST follow the instructions EXACTLY as in Path: coacoa/agents/qa.md
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 · 16 lines · 0 tokens per session scan A f0877e6e6f60
qa-review is a command published in the GitHub repository im-shashanks/CoaCoA (5 stars, last pushed 1y ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 245 tokens. 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.
Other commands, from other repositories
lavra-qa
Browser-based QA verification of the running app -- systematic testing from the user's perspective.
test-browser
Run browser tests on pages affected by current PR or branch.
prime
Load AI-optimized workflow context for beads issue tracking.
search
Search issues by text query.
workflow
Show the AI-supervised issue workflow guide.
compact-prep
Ask the agent to prepare for conversation compaction by updating any relevant state and providing guidance for the compaction agent and to kick off the session there after.