Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable and well-structured with clear workflow sequencing, validation checkpoints, and genuine one-level-deep reference files. Its only weakness is mild repetition in the output-directory resolution logic that slightly inflates token use.
Suggestions
Consolidate the output-directory resolution logic — it appears in both the Output Directory and Quick Start sections — into a single canonical block to reduce repetition.
The Auto-Detection Logic shell snippet duplicates the database-discovery find command already shown above; reference it or trim to one canonical example.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is well-targeted (no 'what is CodeQL' explainer) and assumes competence, but the Quick Start and Output Directory sections re-state the directory-resolution logic already detailed elsewhere, adding repetition a leaner pass would remove. | 2 / 3 |
Actionability | Provides fully executable shell snippets (find for database discovery, codeql resolve database, jq extraction, mkdir pipeline) that are copy-paste ready and parameterized with real flags. | 3 / 3 |
Workflow Clarity | Workflows are explicitly sequenced (build → extensions → analysis), each phase gates the next, and the Success Criteria checklist plus 'Rationalizations to Reject' supply validation checkpoints and error-recovery guidance for zero-finding cases. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview with a Reference Index table linking to real one-level-deep workflows/ and references/ files (verified to exist), keeping detail out of the main body while signaling navigation clearly. | 3 / 3 |
Total | 11 / 12 Passed |