Content
75%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-built instructional skill body: lean, opinionated, concretely wired into named files and a lint guard, with a clear sequence and a quality-gate checklist. The remaining gaps are small — an explicit lint-failure recovery loop, a concrete `flow_lint.py` invocation, and verifiable bundle-relative reference paths.
Suggestions
Give `flow_lint.py` a concrete invocation (path and command line) and add an explicit recovery step: what to do when the lint fails on an undeclared measure.
Make the reference paths bundle-relative and verifiable (e.g., `references/measurement.md`, `templates/measures.md`) so the cited files resolve from the skill directory.
Flesh out step 9's watermelon check with the concrete procedure (which item to pick, where to record the finding) so it is executable rather than directional.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes competence — it never explains what WIP or cycle time is, and each step is a directive with a one-line rationale ('An improvement bet without a baseline is a story with a number in it'). It sits at 'efficient with minor instances that could be trimmed' rather than 5 because the aphoristic asides and some repetition across Workflow steps, Rules, and Quality Gates (baselines and the four families each appear in multiple sections) could be tightened slightly. | 4 / 5 |
Actionability | Concrete, executable guidance dominates: 'Add ids to the `measure-set` island in `measures.md` and to each step's `measures:`. Run `flow_lint.py`' names exact files, fields, and a lint tool, and each step specifies verifiable outputs. It falls short of fully copy-paste-ready because `flow_lint.py` is never given an invocation path or command line, and the watermelon check (step 9) describes intent without a concrete procedure. | 4 / 5 |
Workflow Clarity | The nine steps form a clear, well-ordered sequence (decisions → families → outcome → steering/watch split → wiring → sources → baselines → refusals → scheduled check) with an explicit validation checkpoint ('Run `flow_lint.py` — it fails on a step naming a measure nobody declared') and a Quality Gates checklist. It does not reach 5 because there is no explicit error-recovery loop (what to do when the lint fails) and the gates are stated as conditions without a fix-and-recheck cycle. | 4 / 5 |
Progressive Disclosure | The body is a genuine overview (~65 lines) and the References section lists three files, each with a one-line description and one-level-deep signaling ('`skills/flow-driven/references/measurement.md` — the four families, the anti-measures...'). It misses 5 because the referenced paths are repo-relative rather than bundle-relative (`references/measurement.md`) and none of the referenced files exist in this skill's bundle, so navigation cannot be verified from the skill itself. | 4 / 5 |
Total | 16 / 20 Passed |