Content
82%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 highly actionable with executable commands, a clear three-step workflow, and per-step error/outcome handling. It is mostly concise and well-structured; tightening the repeated Result-outcome boilerplate and adding an explicit validate-then-retry checkpoint would push it to the top anchor.
Suggestions
Add an explicit validation/retry checkpoint (e.g. 'If the build fails, fix flags and rerun Step 1 before proceeding') rather than relying on Result-outcome prose.
Collapse the repeated 'On clean / On findings / On timeout / On error' blocks into a single shared outcomes legend to reduce verbosity.
Consider moving the parameters table or DB-query examples into a short reference file and signaling it from SKILL.md to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient — it does not explain what a sanitizer is and uses concrete commands — but the repeated Action/Expectation/Result framing and the enumerated 'On clean/findings/timeout/error' outcomes per step add minor verbosity that could be trimmed, placing it just below fully lean. | 4 / 5 |
Actionability | Provides copy-paste-ready commands ('python3 scripts/memory_safety.py --sanitizer asan', reuse and debug variants), a full parameters table, and concrete DB query examples, covering the common cases fully executably. | 5 / 5 |
Workflow Clarity | Steps are clearly sequenced (configure/build → run/collect → interpret) with per-step outcome handling that functions as feedback loops (On failure → review cmake output; On timeout → increase deadline), but validation is expressed via result outcomes rather than an explicit validate-and-retry checkpoint, leaving a minor gap below the 5-anchor. | 4 / 5 |
Progressive Disclosure | Well-organized into numbered steps plus a Parameters table, with real one-level-deep references to scripts/memory_safety.py and ../../shared/z3db.py (verified to exist); the bulk stays inline in SKILL.md which is appropriate at this size, with only minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |