Content
50%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 dense, highly specific policy document with genuinely actionable output constraints and a concrete structured-output contract, but it front-loads ~500 lines of edge-case prose into SKILL.md instead of splitting it into reference files. The evaluation workflow is presented as case law rather than a sequenced procedure, hurting workflow clarity and token efficiency.
Suggestions
Move the ~330-line "Evidence and authority" edge-case rules into a reference file (e.g., references/evidence-rules.md), keeping only a short summary of the core gates (authority, target binding, uncertainty/denial, chronology) in SKILL.md.
Convert the evaluation process into a numbered checklist with explicit validation checkpoints (gather evidence → cite exact quotes → gate on uncertainty/authority → withhold or report_incomplete) instead of interleaved prose rules.
Deduplicate the uncertainty, conditional and denial gates that recur across the confirmation, regression, decision, no-repro and workaround sections into one shared rule stated once and referenced from each label rule.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~330-line "Evidence and authority" section stacks dense exception prose ("A comma can introduce a bound 'until' prerequisite; it does not bind arbitrary 'before' or 'pending' discourse back to the efficacy outcome") and restates the same uncertainty/denial/conditional gates across the confirmation, regression, decision, no-repro and workaround subsections. It does not explain concepts Claude already knows — all rules are bespoke policy — so it avoids the bottom anchor, but it is noticeably verbose with substantial padding and redundancy that could be tightened or moved out of the body. | 2 / 5 |
Actionability | Guidance is concrete and executable: named inputs ("Read the prepared `context.json` and `references/label-policy.json`"), a complete JSON output shape, hard constraints ("exact substrings (7-1500 characters)", "at most one `add_labels` and one `remove_labels` intent", "Do not emit more than ten additions or ten removals"), named tools, and a per-label rule table. Minor gaps — e.g., no end-to-end worked example of one full decision flow — keep it below the copy-paste-ready top anchor. | 4 / 5 |
Workflow Clarity | A rough section-level sequence exists (read inputs, evaluate evidence, select labels, correct, emit structured output) and gating concepts are real (`withheld`, `report_incomplete`, `noop`), but the core evaluation section is ~330 lines of unsequenced case-law prose with no ordered checklist and only implicit checkpoints. Steps are listed at heading level but the executable path through the evidence rules is missing, matching the middle anchor rather than the clear-sequence-with-checkpoints anchor. | 3 / 5 |
Progressive Disclosure | There is genuine structure (sectioned headings, a well-organized label-selection table) and one clearly signaled, one-level-deep reference that exists on disk (references/label-policy.json, cited in the opening paragraph). However, hundreds of lines of edge-case policy detail that clearly belong in a separate reference file are inlined in SKILL.md, so organization is only partial. | 3 / 5 |
Total | 12 / 20 Passed |