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.
An unusually dense, self-aware skill body that trusts the reader and gives a sequenced, validation-gated workflow with real feedback loops. Its main flaw is ironic: it fails its own anti-echo rules — duplicated HARD CAP/DENSIFY rules, twin HITL presentation steps, and a few garbled filler lines — which cost it both conciseness and workflow precision.
Suggestions
Apply the skill's own CUT pass to its body: the '<10 words' HARD CAP is stated in both '## COMPRESS' and TRANSFORM pass 4, and 'DENSIFY EVERY rule' (Mental model) duplicates '## COMPRESS' — keep one authoritative copy of each.
Differentiate or merge Process steps 4 and 7, which are currently identical 'present to the user → word Δ + where cuts came from + reasoned take' steps; the duplication makes the intended number of user checkpoints ambiguous.
Rewrite garbled or filler lines for precision: 'Restated the same thing in different ways.', 'Cut the fluff', and 'we can loose 2% of value' (typo: 'lose'; also 'less then' → 'less than' in the Lessons-learned template).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is genuinely dense — terse cues, unicode connectives (→ ⇒ ≠), no explanation of concepts Claude already knows ('Reader is AI like you, capable'). Not 5 because it violates its own anti-echo rule: the <10-word HARD CAP appears both in '## COMPRESS' and verbatim in TRANSFORM pass 4, 'DENSIFY EVERY rule' in the Mental model duplicates '## COMPRESS' content, and filler lines like 'Cut the fluff' and 'Restated the same thing in different ways.' (itself garbled) earn no place. | 4 / 5 |
Actionability | Concrete, executable guidance dominates: an exact grammar-command table with semantics, named schema files to read, four ordered TRANSFORM passes with a fixpoint loop condition, and specific verification questions. Not 5 because some directives are loose — the subagent spec 'Sonnet-5.5 low reasoning or GPT 6 Luna medium class' is non-executable shorthand, and 'take different options, iterate multiple times TRANSFORM' in the Mental model is vague direction rather than instruction. | 4 / 5 |
Workflow Clarity | The 8-step HITL process is clearly sequenced with explicit validation: subagent verification (step 5), critical evaluation of findings before applying (step 6), and a user-approval gate before any overwrite (step 8), plus a repeat-until-no-change loop in TRANSFORM. Not 5 because steps 4 and 7 are word-for-word duplicate 'present to the user' steps and step 3 bundles drafting, fixpoint iteration, and no-overwrite into one multi-action line, which muddies the sequence. | 4 / 5 |
Progressive Disclosure | No bundle files exist, and the single file is well-sectioned (## Mental model, ## CUT, ## COMPRESS, ## TRANSFORM, ## Process, ## Lessons learned) with clear headers. Not 5 because at ~120 lines the grammar-command table and seven-path schema list are stable reference material that could sit in a one-level-deep reference file to keep SKILL.md lean, and Mental-model bullets scatter rules later restated in dedicated sections. | 4 / 5 |
Total | 16 / 20 Passed |