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 a strong, executable workflow: concrete commands verified against the bundled script, per-step checkpoints with failure branches, and a complete parameter table. Its main weaknesses are minor — a small amount of intro padding and the unsignaled ../../shared/z3db.py dependency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient: each step's Action/Expectation/Result adds concrete operational detail, and commands are shown rather than described. Minor over-explanation remains — the intro sentence "This skill wraps scan-build into a reproducible, logged workflow suitable for regular analysis sweeps and regression tracking" is padding, and the Step 1 Action prose partially duplicates the bash commands. Not a 5 because a few sentences could be trimmed; not a 3 because there is no concept-teaching or real padding. | 4 / 5 |
Actionability | All guidance is copy-paste executable: the three bash invocations reference a real script (scripts/static_analysis.py) whose argparse flags (--build-dir, --output-dir, --timeout, --db, --debug) exactly match the documented parameters, the Step 3 SQL queries are concrete, and example output shows real diagnostic lines. Fully executable with specific examples covering the common cases. | 5 / 5 |
Workflow Clarity | A clear three-step sequence where every step carries an Expectation checkpoint and a Result branch, including failure recovery ("On failure: verify that clang and scan-build are installed and that the build directory contains a valid CMake configuration") and regression interpretation in Step 3. Not a 5 because there is no explicit re-run/re-validate feedback loop after a failure or after addressing findings — the recovery guidance is stated once but not looped. | 4 / 5 |
Progressive Disclosure | Scored against the actual bundle: the single file in scripts/ is correctly referenced via the executable commands, and the amount of content kept inline in SKILL.md (a short workflow plus a parameters table) is appropriate for this size — nothing that belongs in a separate file is inlined. Not a 5 because the Step 3 references to ../../shared/z3db.py are an external, un-signaled path with no indication of what that script does or whether it exists in the bundle. | 4 / 5 |
Total | 17 / 20 Passed |