Content
78%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 well-structured skill body: lean, concrete, and disciplined about progressive disclosure, with a complete worked example that shows the actual shard count and failure output. The main improvement areas are tightening the repeated 2^N messaging and making the aggregation/verification steps as executable as the provider wiring.
Suggestions
State the 'minimum cover, not the full 2^N product' principle once (Step 1) and cut the repetitions in the Overview and How-to-use lists.
Inline a minimal JUnit-XML aggregation command or output snippet so step 6 is as executable as the provider wiring, keeping the full script in references/matrix-and-ci.md.
Add an explicit validation checkpoint, e.g. 'verify each shard booted with FLAGS_JSON and none contacted the production flag service', to close the workflow's feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes competence (no explanation of what flags or CI are), but the 'never the full 2^N product' point is repeated three times (Overview item 2, How-to-use step 2, and Step 1), and the Overview's determinism rationale is mildly motivational. This is anchor 4 — minor trimming possible — rather than the every-token-earns-its-place lean of a 5. | 4 / 5 |
Actionability | Concrete, executable guidance dominates: a complete flag-matrix.yaml schema, runnable TypeScript provider wiring, the real command 'python scripts/gen-flag-matrix.py tests/flag-matrix.yaml', and a worked example with exact shard counts (9 + 4 = 13). Minor gaps keep it at anchor 4: the aggregation step has no inline code, and the gen-flag-matrix.py script must be sourced from a reference file rather than existing as a bundle script. | 4 / 5 |
Workflow Clarity | The 'How to use' section gives a clearly sequenced 7-step process, and 'fail-fast: false' plus per-combination aggregation act as explicit checkpoints so every failure surfaces. It falls short of anchor 5 because there is no explicit error-recovery loop or verification step (e.g., confirming no shard touched the production flag service); the worked example demonstrates reading failures but only implicitly. | 4 / 5 |
Progressive Disclosure | The SKILL.md is a genuine overview: multi-language wiring, CI matrix YAML, aggregation, and the anti-pattern table are all split into three clearly signaled, one-level-deep reference files that all exist in the bundle with no nested references. This matches anchor 5 — clear overview, well-signaled references, easy navigation. | 5 / 5 |
Total | 17 / 20 Passed |