Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is concise and well-structured with a clear step sequence, but it stays abstract: it gives no executable code or commands and fails to point to the bundled agent.py and api-reference.md that actually implement the described workflow. Adding invocation examples and links would lift the actionability and progressive-disclosure scores.
Suggestions
Reference the bundled tooling directly, e.g. 'Run `python scripts/agent.py sample.apk full` for the full analysis; see references/api-reference.md for per-command usage and the androguard API table'.
Add at least one executable code snippet or CLI invocation per major step so the guidance is copy-paste ready rather than descriptive.
Insert a validation checkpoint before generating the final report, e.g. confirm all components were parsed and IOC extraction completed, then emit the JSON report — this adds the feedback loop the multi-step workflow currently lacks.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — short Overview, tight Prerequisites, and seven terse numbered Steps — and largely assumes Claude's competence rather than explaining basics, matching the score-3 'lean and efficient; every token earns its place' anchor; it is not the score-2 anchor because there is no notable padding or unnecessary explanation. | 3 / 3 |
Actionability | Steps name concrete tools and patterns ('androguard', 'DexClassLoader', 'Runtime.exec') giving some concrete guidance, but provide no executable code or commands and never reference the bundled agent.py that implements them, fitting the score-2 'some concrete guidance but incomplete; missing key details' anchor rather than the score-3 'fully executable; copy-paste ready' anchor. | 2 / 3 |
Workflow Clarity | The seven steps are clearly sequenced, but there are no validation or verification checkpoints between parse/scan/report, and the final report step has no check for completeness, matching the score-2 'steps listed but validation gaps; checkpoints missing or implicit' anchor; it is above the score-1 anchor because the sequence is explicit. | 2 / 3 |
Progressive Disclosure | The body is well-organized into sections and the bundle is shallow (one references/ file and one scripts/ file, one level deep), but the body never links to or signals api-reference.md or agent.py, so navigation to the detail materials is missing — this fits the score-2 'references present but not clearly signaled' anchor rather than the score-3 'well-signaled one-level-deep references' anchor. | 2 / 3 |
Total | 9 / 12 Passed |