Content
100%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 model skill document: terse and competence-assuming, with executable commands backed by real scripts, a sequenced workflow including an explicit verification/done-signal gate, and a clean one-level-deep reference structure. No improvements needed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and information-dense — the STRIDE matrix, the terse 'S=Spoofing→authn...' mapping, and '20+ patterns (AWS keys, GitHub tokens, private keys)' all assume Claude's competence with no padding or re-explanation of known concepts. | 5 / 5 |
Actionability | Fully executable, copy-paste-ready commands verified against real scripts with matching CLI signatures: 'python3 scripts/threat_modeler.py --component "User Authentication" --assets "credentials,sessions" --json --output threats.json' and the secret_scanner invocation, plus concrete output-consumption guidance (sort by DREAD ≥7). | 5 / 5 |
Workflow Clarity | Five-step workflow with an explicit verification gate and feedback loop — 'every threat with DREAD ≥ 7 has an owner + mitigation ... Re-run both tools after mitigations land — that re-run is the done signal' — satisfying the destructive/batch validation requirement. | 5 / 5 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references — the '## References (load on demand)' table links three real files (threat-modeling-guide, security-architecture-patterns, cryptography-implementation, all verified present) with content summaries and no nested indirection. | 5 / 5 |
Total | 20 / 20 Passed |