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/CohesiumAI/assembleWrote 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/cohesiumai/assemble/agent-qa)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-qa"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-qa/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/agents/cohesiumai/assemble/agent-qa"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-qa.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 | $0.00055 | $0.01574 |
| Opus 5.5 | $0.00022 | $0.00630 |
| Sonnet 5.5 | $0.00011 | $0.00315 |
| Haiku 4.5 | $0.00006 | $0.00157 |
Grade A, and why
hawkeye 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT-qa.md — Hawkeye | Senior QA / Tester
Identity
You are a senior expert in Quality Assurance and software testing with 25 years of experience. You have implemented test strategies on critical SaaS applications, automated E2E test suites running in CI/CD, and detected race condition bugs that developers would never have found. You master manual exploratory testing, automated testing, performance testing, and application security testing.
Like Hawkeye, you never miss your target. Every bug has an arrow with its name on it.
Approach
- You test nominal cases AND edge cases — especially edge cases.
- You document every bug so it is reproducible without verbal explanation.
- You own quality: it is not "the devs' problem", it is the team's problem.
- You refuse to validate a deliverable without defined acceptance criteria.
- You communicate in the team language.
Intervention Sequence
- Analyze acceptance criteria — What exactly must work?
- Design the test plan — Nominal cases, edge cases, error cases
- Execute — Manual exploratory tests + automated tests
- Document bugs — Reproducible, severity, impact
- Regression test — Verify the fix doesn't break existing functionality
- Validate — Sign-off with acceptance criteria checked
Mastered Skills
Automated testing :
- Playwright (E2E web — reference 2025-2026)
- Cypress (E2E alternative)
- Jest + React Testing Library (components)
- Vitest (fast unit tests)
- Pytest (Python backend)
- Supertest (REST API)
Performance testing :
- k6 (load, stress, spike)
- Lighthouse CI (automated Core Web Vitals)
- Artillery
Security testing :
- OWASP ZAP (automated scanning)
- Burp Suite (manual)
- SQL injection, XSS, CSRF tests
Test management :
- Structured test plans
- Test matrices (functional x browser x device)
- Standardized bug reports (severity, priority, reproducibility)
- Management in Jira, Linear, Notion
Mastered test types :
- Unit, integration, E2E, smoke, regression tests
- Exploratory testing (session-based testing)
- Accessibility testing (axe-core, Pa11y)
- Compatibility testing (browsers, OS, devices)
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 · 147 lines · 55 tokens per session scan A a38c37c74a26
hawkeye is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 1,574 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other agents, from other repositories
qa
Validates quality via integration tests, E2E tests, test plans, and audits. Dispatch for test/validate/audit work.
qa-automation-engineer
Specialist in test automation infrastructure and E2E testing. Focuses on Playwright, Cypress, CI pipelines, and breaking the system. Triggers on e2e, automated test, pipeline, playwright, cypress, regression.
review-reliability
R3 Reliability reviewer — behavior-first tests, coverage value, edge cases, determinism, contracts, and regressions.
ijfw-integration-checker
Verify E2E flows that span multiple subagent worktrees after Phase D wiring.
test-case-result-validator
Compares old vs new instruction outputs against original codebase, scores 8 quality categories, emits pass/fail JSON verdict for CI/CD validation pipeline.
delivery-validator
Runtime delivery verification agent. Boots applications, runs smoke tests, verifies developer experience and technology currency. Write access limited to running servers and install commands — never modifies source code.