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.
The body is a well-structured, highly actionable instruction-only skill: exact question templates, fallback messages, executable script invocations, and output formats cover the common cases, and every referenced bundle file exists one level deep with clear signals. Its main weakness is redundancy — trigger phrases, the one-question rule, and a whole anti-patterns section restate rules already covered elsewhere, which inflates token cost without adding guidance.
Suggestions
Cut or fold the 'Anti-Patterns To Reject' section: nearly every bullet restates a rule already stated in place (fabrication ban in Section 3, capture-everything in Operating Principles, compressed output in its own section) — keep only items not stated elsewhere.
State the max-one-clarifying-question rule once in the 'Grill-Me' section and drop its repetitions from the Error Handling table and anti-pattern list.
Trim the Invocation Triggers explicit-phrase list (it duplicates the frontmatter description) to just the implicit-signal detection guidance, and add invocation examples for dump_classifier.py and complexity_estimator.py in the Tooling table to match workspace_inventory.py's.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly operational with no explanation of concepts Claude already knows, but it could be meaningfully tightened: the Invocation Triggers list re-states trigger phrases already in the frontmatter description; the max-one-question rule appears in four places (Operating Principles context, the Grill-Me section, the Error Handling table, and the Anti-Patterns list); and the "Anti-Patterns To Reject" section is almost entirely restatement of rules already stated (e.g. "Fabricating workspace connections…", "Dropping items deemed 'trivial'…", "Forcing 4-section structure when input is small"). This fits anchor 3 (mostly efficient but could be tightened); not 2 because every section is functional rather than padded concept-explanation; not 4 because the redundancy spans whole sections, beyond minor trims. | 3 / 5 |
Actionability | Fully executable guidance covering the common cases, appropriate for an instruction-only skill: the exact clarifier question ("Quick clarification — one item in your dump could go either way…") is copy-paste ready, as are the fallback messages ("No connections found — workspace inventory clean"), the script invocation "python workspace_inventory.py --root . --keywords \"k1,k2\"", full output-format templates per section, a compressed-output template, and a ✅/❌ table of concrete Section-4 offers with output paths. Matches anchor 5: specific examples cover the common cases. | 5 / 5 |
Workflow Clarity | Clear sequence with explicit checkpoints: detect trigger ("the dump itself IS the request") → optional single clarifier with a hard stop condition ("Max 1 clarifying question per dump") → full or compressed output with an explicit decision rule ("The trigger is the complexity_estimator.py recommendation OR your judgment") → approval gate ("Wait for the user's explicit pick"), plus an Error Handling table for failure modes. This is a non-destructive text-organization skill, so no validate/retry loop is required, and no batch/destructive cap applies. Fits anchor 4 (clear sequence, most checkpoints present) rather than 5 because the end-to-end pipeline order is implied by section layout rather than stated as one explicit ordered flow. | 4 / 5 |
Progressive Disclosure | Scored against the actual bundle: all six referenced files exist and are substantive (references/voice_preservation.md, references/complexity_matching.md, references/workspace_detection.md; scripts/workspace_inventory.py, dump_classifier.py, complexity_estimator.py). References are one level deep and well-signaled, each stating the question it answers ("context-specific detection tactics", "corporate-speak anti-patterns with concrete examples", "compressed vs full output, worked examples"), with the core workflow kept inline and detail correctly split out. Matches anchor 5: clear overview, well-signaled one-level-deep references, easy navigation. | 5 / 5 |
Total | 17 / 20 Passed |