Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is code-rich and highly actionable with well-organized progressive disclosure to real reference files. Its main gap is an explicit Frama-C verify-fix-retry feedback loop embedded in the workflow, and minor over-explanation of well-known concepts.
Suggestions
Add an explicit verification checkpoint to the Annotation Workflow (e.g. Step 6: run `frama-c -wp`, review unproved goals, revise annotations, re-run) to close the feedback loop.
Trim definitional prose that restates concepts Claude already knows (e.g. the gloss of 'preconditions'/'postconditions'/'loop variant') to tighten the token budget.
Cross-link the inline example sections to the relevant reference file (e.g. 'see common_patterns.md for more behaviors') to strengthen navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and code-heavy, but some prose restates concepts Claude already knows (e.g. 'Preconditions (requires): What must be true when function is called') and could be trimmed. | 4 / 5 |
Actionability | Provides numerous complete, copy-paste-ready ACSL examples — contracts, loops, memory safety, behaviors, axiomatics, and a fully annotated function — covering the common cases. | 5 / 5 |
Workflow Clarity | The five-step Annotation Workflow is clearly sequenced, and incremental Frama-C verification is mentioned in Best Practices, but the feedback loop is not embedded as an explicit validate-fix-retry checkpoint inside the workflow. | 4 / 5 |
Progressive Disclosure | SKILL.md serves as an overview with key examples while three real, one-level-deep reference files are clearly signaled in the Resources section with one-line descriptions and 'load as needed' guidance. | 5 / 5 |
Total | 18 / 20 Passed |