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 body: every workflow step is executable, gated by deterministic verification with explicit retry loops, and external materials are clearly signposted. Remaining polish is trimming the repeated path prefix and trusting the referenced skill docs to carry per-tool usage detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient — each tool entry packs path, usage, and threshold with no conceptual padding — but the "../../marketing-skill/skills/content-production/" prefix repeats ~15 times and the "Success Metrics" section is aspirational rather than instructional, so minor instances could be trimmed (between anchors 4 and 5, closer to 4). | 4 / 5 |
Actionability | Every command is copy-paste ready with exact invocations (e.g., "python3 ../../marketing-skill/skills/content-production/scripts/content_scorer.py draft.md \"primary keyword\" --json"), explicit thresholds ("composite ≥ 70"), and even a concrete batch loop ("for f in content/*.md; do python3 ... content_scorer.py \"$f\" --json; done"). | 5 / 5 |
Workflow Clarity | All three workflows are clearly sequenced with explicit verification steps and error-feedback loops — "A failing gate sends the draft back to step 4/5" and the batch sweep is "closed only when every revised file scores ≥ 70 and passes all gates" — matching the top anchor. | 5 / 5 |
Progressive Disclosure | No local bundle files exist to verify, but the body leans on clearly signaled one-level-deep references (four knowledge bases, a template, the sibling SKILL.md), each with a one-line purpose; however, per-tool usage details inlined here largely duplicate the referenced skill's own documentation, and path repetition makes navigation noisier than the 5 anchor. | 4 / 5 |
Total | 18 / 20 Passed |