Content
92%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.
An exceptionally dense, executable, and well-sequenced operational skill: the jq recipes are guarded against real footguns, the workflow has explicit validation and recovery paths, and nothing is padded. The sole structural weakness is progressive disclosure — everything lives in one long SKILL.md and the two helper scripts it leans on are absent from the bundle.
Suggestions
Ship the referenced helper scripts (find_scopes.py, compare_traces.py) in a scripts/ directory next to SKILL.md, or remove the references and the "Prefer find_scopes.py" guidance — as delivered, those commands will fail.
Move the jq recipe catalog (~90 lines) into a references/jq-recipes.md and keep SKILL.md as an overview with clearly signaled one-level-deep pointers, reducing the inline token load.
Consider splitting the capture-methods section ("How traces are captured") into a short reference note since it is only needed when no recording exists yet.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence throughout: no space is spent explaining what a profiler or JSON is, and every section carries non-obvious, operational knowledge (the jq `duration_ns` guard footgun, rayon parallel-gap behavior, absolute `start_ns` semantics). The compact JSON layout block and terse Recipes section earn their tokens; not anchor 4 because there is no padding to trim. | 5 / 5 |
Actionability | Every recipe is copy-paste-ready executable jq/bash/Python with concrete arguments, flags, and file paths — e.g. `rerun dump-puffin <path> > /tmp/puffin.json`, the guarded `select(has("duration_ns") and has("name"))` patterns, `compare_traces.py ... --top 50 --filter system_execution --hide-below 0.5`, and `find_scopes.py ... --aggregate --thread main --frame 2578`. The examples cover the common cases (top scopes, per-name totals, children, cross-thread windows, before/after comparison). | 5 / 5 |
Workflow Clarity | The sequence is explicit and well-ordered (Setup: dump + verify scope registration → Investigate with jq → Compare traces → Analyze data → Cross-check with source code) and embeds validation checkpoints with feedback loops: check `.scopes | length` with recovery paths ("Ask for a new capture that includes scope registration" or "proceed with dynamic `data` labels and explain the limits"), a fallback `cargo run` path when the rerun binary is missing, "Before reporting any per-call delta as a real change, dump the per-call durations of that scope in both traces", and "Check `.scopes | length` on both before comparing". | 5 / 5 |
Progressive Disclosure | The skill is a single 237-line file with good section headers but no reference files at all, and the ~90-line jq recipe catalog is inlined where the rubric wants an overview pointing to detailed materials. More importantly, the body repeatedly points to helper scripts (`${PUFFIN_SKILL_DIR}/find_scopes.py`, `compare_traces.py`) and even instructs "Prefer `find_scopes.py` for name/data lookups", yet no such files exist in the bundle (no scripts/, references/, or assets/ directories) — the references are clearly signaled but dangling. This sits between anchor 2 (content that belongs in separate files inlined) and anchor 4 (good structure, references mostly clear), with the missing bundle files preventing a higher score. | 3 / 5 |
Total | 18 / 20 Passed |