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.
A concise, highly actionable detector playbook with a clear evidence-gated workflow and well-structured sections; its main gap is the absence of an explicit error-recovery feedback loop in an otherwise batch-oriented process.
Suggestions
Add an explicit feedback loop for uncertain candidates (e.g., 'If source/sink cannot be confirmed, emit hypothesis-only and re-queue rather than promoting').
De-duplicate the no-bash/no-scanner constraint — state it once and reference it from the anti-patterns list.
Consider a short post-emit verification step (e.g., confirm the derived_from/mapped_to edges resolved) to close the batch workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean playbook with no concept over-explanation and tight, useful tables; the only redundancy is the no-bash/no-scanner constraint restated in both the intro and the anti-patterns section. | 4 / 5 |
Actionability | Fully executable copy-paste-ready code (kg_query/kg_add_node/kg_add_edge with concrete props), specific playbook paths with enumerated vuln classes, and a concrete rejection recipe — common cases are covered. | 5 / 5 |
Workflow Clarity | Clear numbered sequence with a built-in verification gate (read ±30 lines, identify source/sink/taint/sanitizer, then decide promote/reject/hypothesis) plus a severity checklist, but no explicit feedback loop for uncertain cases or post-emit re-validation. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections with a well-signaled one-level-deep reference to per-class playbooks (/skills/standard/analyst/<vuln-class>/SKILL.md); the ~60-line body is slightly over the simple-skill threshold and has no bundle files of its own, keeping it just short of a 5. | 4 / 5 |
Total | 17 / 20 Passed |