Content
63%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 benchmark-specific content is strong: executable browse-daemon commands, concrete metrics, explicit thresholds, and well-sequenced phases with clear report formats. The main weaknesses are the large amount of inlined gstack framework boilerplate that dilutes token efficiency and belongs in a shared reference, and a few under-specified steps (page discovery via /canary, historical storage for --trend).
Suggestions
Move the shared gstack framework content (preamble script, proactive/telemetry/lake-intro prompting flows, contributor mode, plan status footer) into a common one-level-deep reference file, keeping SKILL.md focused on the benchmark workflow.
Specify how historical baselines are stored and loaded for --trend mode — Phase 8 shows 'last 5 benchmarks' but Phase 4 only writes a single baselines/baseline.json.
Replace the 'Same as /canary — auto-discover from navigation' hand-wave in Phase 2 with the actual page-discovery steps so the skill is self-contained.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The benchmark core (Phases 1–9, rules) is dense and efficient — raw $B commands, metric formulas, explicit thresholds — but roughly half of the ~480-line body is gstack framework boilerplate (preamble script, proactive/telemetry/lake-intro prompting flows, contributor mode, plan status footer) unrelated to benchmarking, plus a flavor persona paragraph. This fits 'mostly efficient but includes some unnecessary content that could be tightened or moved out'. | 3 / 5 |
Actionability | Largely copy-paste ready: '$B goto <page-url>', '$B perf', complete $B eval one-liners for navigation/resource/bundle metrics, a git diff command for --diff, a concrete baseline JSON schema, and explicit regression thresholds. Minor gaps keep it below 5: Phase 2 delegates page discovery to 'Same as /canary' and Phase 8's --trend mode says 'Load historical baseline files' without specifying how multiple historical baselines are stored (Phase 4 writes only a single baseline.json). | 4 / 5 |
Workflow Clarity | Clear 9-phase sequence (Setup → Discovery → Collection → Baseline → Comparison → Slowest Resources → Budget → Trend → Save) with argument-to-mode mapping, explicit WARNING/REGRESSION thresholds, a pre-flight browse-binary check, and a stated no-baseline fallback. It falls short of 5 because there are no error-recovery feedback loops (e.g., what to do when a page fails to load or perf data comes back empty); the read-only nature of the skill means the destructive/batch validation cap does not apply. | 4 / 5 |
Progressive Disclosure | Good in-file structure (numbered phases, headers, report templates), but the ~270 lines of shared gstack framework content (preamble, telemetry flows, contributor mode, plan footer) are inlined in every skill and clearly belong in a shared one-level-deep reference; no references/ bundle exists at all. This matches 'some structure but content that should be separate is inline' rather than level 2, since sectioning and navigation within the file are solid. | 3 / 5 |
Total | 14 / 20 Passed |