feat(skills): six stub coding-cluster skills (D4) - #36
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The five coding-agent personas (D3 follow-up) reference six skills that did not exist on disk: code_review, code_generation, test_generation, test_execution, security_scan, dependency_audit. Each ships: * skills/<name>/skill.yaml — LOW-risk manifest, adapter_class StubCodingSkill, domain_id software_engineering or security_audit (per the receptor model in docs/SUBAGENT_COMMUNICATION.md). * skills/<name>/adapter.py — pass-through StubCodingSkill that round-trips the LLM-supplied text and tags it with the skill_id for audit attribution. The skills are governance-only stubs. The LLM still does the actual work via its natural-language output; the skill registry contributes: * Cat-A A-017 enforcement (skill ceiling + allow-list). * Audit anchor on TASK_COMPLETE.invocations. * skill_in_use column on the cluster panel (PR #29). Replacing each adapter with a real linter / static-analysis / pytest backend is a separate hardening track. Tests — tests/test_stub_skills.py (10 cases): * All six manifests load via SkillRegistry.load_from. * All six are LOW risk (default MEDIUM ceiling accepts them). * Adapter round-trips input text per skill_id (parametrised). * Per-skill module isolation — each adapter resolves to its own manifest's skill_id. * Domain-id alignment matches the receptor-filter expectations. 110 passed across PR-26..30 + new module on the local sweep. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This was referenced May 7, 2026
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Lands LOW-risk pass-through manifests for code_review, code_generation, test_generation, test_execution, security_scan, dependency_audit — the skills the D3 personas declare. 10 tests pin the contract. 110/110 across PR-26..30 + new module locally.