reasoning-semiformally · git:20260402.25614a4 · 2026-04-02 · sha256 33019b91e9430620
reasoning-semiformally git:20260402.25614a4A
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--- name: reasoning-semiformally description: Apply semi-formal certificate reasoning to code analysis — patch verification, fault localization, patch equivalence. Use when reviewing patches, hunting bugs across scopes, comparing fixes, or when code reasoning requires tracing execution across files/modules. Triggers on code review, bug localization, patch comparison, name shadowing, scope analysis, regression checking. --- # Semi-Formal Code Reasoning Structured certificate templates that force mandatory checkpoints before conclusions. Based on Ugare & Chandra (2026), validated in replication experiments. ## Skip Conditions Do NOT apply semi-formal reasoning when: - The change is trivial: docs, formatting, version bumps, config changes - The bug is locally obvious: typo, off-by-one in the same function, missing comma - No execution paths cross scope boundaries - The task is not code analysis (text editing, data extraction, summarization) If any skip condition is met, proceed with standard reasoning. ## Model-Specific Instructions **If you are Haiku-class (Haiku 4.5 or similar):** Read `haiku.md` in this skill directory. It contains full procedural templates with worked examples. **If you are Sonnet-class or above (Sonnet 4.6, Opus):** Read `sonnet.md` in this skill directory. It contains compact verification checkpoints. ## Composing Tasks For complex tasks, apply templates sequentially: 1. **Fault localization** to find the bug 2. **Patch verification** to validate a proposed fix 3. **Patch equivalence** to compare alternative fixes Each output feeds the next as premises. ## Provenance - Paper: Ugare & Chandra, "Agentic Code Reasoning with Semi-Formal Certificates" (arXiv:2603.01896, March 2026) - Replication: Django name-shadowing (0%→100% fault localization), 3 real bugs (+11pp aggregate) - CVE validation: CVE-2026-29000 (pac4j-jwt, 383 lines). Haiku: +20pp with template. Sonnet: -20pp with template. - Finding: Template value is model-capability-dependent. Scaffolding helps weaker models; it becomes overhead for stronger ones.