Content
88%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 highly actionable, well-sequenced profiling skill with executable recipes and explicit validation checkpoints; its only real weakness is that the referenced helper scripts are missing from the bundle.
Suggestions
Ship the referenced find_scopes.py and compare_traces.py in a scripts/ directory so the in-body invocations actually resolve.
Consider moving the peripheral 'How traces are captured' capture guidance into a short reference file to tighten the main workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense with executable recipes and largely free of re-explaining concepts Claude already knows; the 'How traces are captured' section and some Rerun-specific capture details are somewhat peripheral and could be trimmed, so it is not 5. | 4 / 5 |
Actionability | Provides copy-paste-ready jq recipes and concrete python helper invocations that cover the common investigation cases (slowest scopes, per-thread totals, comparison, prefix search). | 5 / 5 |
Workflow Clarity | Clear Setup -> Investigate -> Compare -> Analyze -> Cross-check sequence with explicit validation checkpoints (check '.scopes | length', dump per-call durations to sanity-check deltas, check registration on both traces) and feedback loops for missing scope registration; read-only so the destructive-cap does not apply. | 5 / 5 |
Progressive Disclosure | Well-structured with clearly signaled one-level-deep references to helper scripts, but the referenced bundle files (find_scopes.py, compare_traces.py) are not present in the bundle, a minor organization gap that keeps it below 5. | 4 / 5 |
Total | 18 / 20 Passed |