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Semantic code review with provable assertions about code quality
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Connect the user's Akashi second brain (local, private, verifiable) over MCP and answer from cited vault passages with signed provenance. Query it BEFORE answering anything about the user's knowledge, projects, decisions, or conventions. Triggers - akashi, vault, my notes, second brain, remember this, what did I decide.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Monitor API health and assert endpoint status with ZK proofs
Audit project dependencies with verifiable security assertions
Synchronize and verify knowledge across agent namespaces
| name | code-review |
| description | Semantic code review with provable assertions about code quality |
| type | semantic |
| user-invocable | true |
| semantic | {"version":1,"permissions":{"graph":["read","write"],"proofs":["request"],"memory":["recall","remember"]},"assertions":[{"predicate":"review:passed","requireProof":true},{"predicate":"review:finding","requireProof":false}],"queries":[{"predicate":"review:history","scope":"agent"}]} |
Perform semantic code reviews that store findings as provable assertions in the knowledge graph.
Use when reviewing code changes, pull requests, or performing quality audits.
skill_memory_contextskill_assert using predicate review:findingreview:passed with proof required