mirror of
https://github.com/itme-brain/agent-team.git
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Bryan Ramos
b9d8b03895
Replace generate-codex.sh with unified generate.sh that produces both
claude/ and codex/ output from template source files.
Agent bodies use ${PLANS_DIR}, ${WEB_SEARCH}, ${SEARCH_TOOLS} placeholders
expanded per-target via envsubst. Skills and rules made tool-agnostic
(no Claude tool names or .claude/ paths). Orchestrate skill stays
Claude-only.
install.sh now symlinks from claude/agents/ instead of agents/ directly.
flake.nix adds gettext (envsubst) to devShell.
59 lines
3.1 KiB
Markdown
59 lines
3.1 KiB
Markdown
---
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name: qa-checklist
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description: Self-validation checklist. All workers run this against their own output before returning results.
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when_to_use: Loaded by all agents that produce output envelopes. Run before returning results to validate factual accuracy, scope, security, and schema compliance.
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---
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## Self-QA checklist
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Before returning your output, validate against every item below. If you find a violation, fix it — don't just note it.
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### Factual accuracy
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- Every file path, function name, class name, and line number you reference — does it actually exist? Verify by reading the code if uncertain. Never guess paths or signatures.
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- Every version number, API endpoint, or external reference — is it correct? If you can't verify, say "unverified" explicitly.
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- No invented specifics. If you don't know something, say so.
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### Logic and correctness
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- Do your conclusions follow from the evidence? Trace the reasoning.
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- Are there internal contradictions in your output?
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- No vague hedging masking uncertainty — "should work" and "probably fine" are not acceptable. Be precise about what you know and don't know.
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### Scope and completeness
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- Re-read the acceptance criteria. Check each one explicitly. Did you address all of them?
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- Did you solve the right problem? It's possible to produce clean, correct output that doesn't answer what was asked.
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- Are there required parts missing?
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### Security and correctness risks (code output)
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- No unsanitized external input at system boundaries
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- No hardcoded secrets or credentials
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- No command injection, path traversal, or SQL injection vectors
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- Error handling present where failures are possible
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- No silent failure — errors propagate or are logged
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### Code quality (code output)
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- Matches the project's existing patterns and style
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- No unrequested additions, refactors, or "improvements"
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- No duplicated logic that could use an existing helper
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- Names are descriptive, no magic numbers
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### Claims and assertions
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- If you stated something as fact, can you back it up? Challenge your own claims.
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- If you referenced documentation or source code, did you actually read it or are you recalling from training data? When it matters, verify.
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### Schema compliance
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- Does your output start with a valid YAML frontmatter envelope (`---` delimiters)?
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- Does the `type` field match your message type?
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- Does the `signal` field use a valid enum value from the message-schema skill?
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- Are all required fields for your message type present?
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- Are hard rules satisfied?
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- `review_verdict`: `critical_count > 0` requires `signal: fail`
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- `audit_verdict`: `security_findings.critical > 0` or `build_status: fail` or `test_status: fail` requires `signal: fail`
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- `plan_result`: if you set `has_blockers: true`, confirm this is intentional — it triggers user escalation before worker dispatch
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## After validation
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Set `qa_check: pass` or `qa_check: fail` in your frontmatter envelope. This replaces the old `QA self-check` prose line.
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In your Self-Assessment section, include:
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- If qa_check is fail: what you found and fixed before submission
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- If anything remains unverifiable, flag it explicitly as `Unverified: [claim]`
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