chain-of-verification

<!-- codex: tool-name mapping applied. See .codex/scripts/session-start.sh --> # Chain-of-Verification (CoVe) CoVe is a verification technique that improves response accuracy by making the model fact-check its own answers. Instead of accepting an initial response at face value, CoVe instructs the model to generate verification questions, answer them independently, and revise the original answer based on findings. ## Conventions Read capy knowledge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md). **Capy restriction:** CoVe is a read-only verification tool. Do NOT call `capy_index` or `capy_fetch_and_index` during this workflow. Use `capy_search` only. If corrections reveal knowledge worth persisting, the calling agent handles indexing after CoVe completes. ## When to Use This Skill CoVe adds the most value in these scenarios: **Precision-required questions:** - Questions containing precision language ("exactly", "precisely", "specific") - Complex factual questions (dates, statistics, specifications) **Complex reasoning:** - Multi-step reasoning chains (3+ logical dependencies) - Technical claims about APIs, libraries, or version-specific behavior **Fact-checking scenarios:** - Historical facts, statistics, or quantitative data - Technical specifications and API behavior **High-stakes accuracy:** - Security-critical code paths or analysis - Code generation requiring accuracy verification - Any response where correctness ...