Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-structured recon playbook that is held back by repeated scan-loop boilerplate, missing inline feedback loops for batch operations, and a monolithic layout with no progressive disclosure.
Suggestions
Extract the repeated curl-status scan loop (Phases 1, 3, 5) into a single reusable shell function so each phase only supplies its path list.
Add inline per-phase validation/error-recovery checkpoints (e.g. what to do when a 200 returns an HTML login page rather than the expected JSON) instead of only a terminal checklist.
Move the long path-wordlists (DEBUG_PATHS, SWAGGER_PATHS) and the Tools section into reference files referenced one level deep from SKILL.md to apply progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean executable bash with minimal conceptual filler, but the curl-status path-scan loop boilerplate is repeated nearly verbatim across Phases 1, 3, and 5 and could be collapsed into a shared function. | 2 / 3 |
Actionability | Copy-paste-ready bash commands and complete embedded Python scripts (e.g. source-map reconstruction, swagger path extraction) give concrete, executable guidance throughout. | 3 / 3 |
Workflow Clarity | Phases are clearly sequenced with a 'Run First' directive and an end-of-doc validation checklist, but batch path-scans lack inline error-recovery feedback loops, capping this dimension at 2 per the rubric's batch-operation note. | 2 / 3 |
Progressive Disclosure | Sections are well-organized (crown jewels, phases, chain table, tools, validation), but the ~275-line body is monolithic with no external references, and path lists / tool detail that could be split out are inline. | 2 / 3 |
Total | 9 / 12 Passed |