Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with a precise output contract and unambiguous decision rules, scoring well on actionability, workflow clarity, and organization. The only weakness is the verbose, over-emphasized flakyTest paragraph that could be tightened for token efficiency.
Suggestions
Split the dense flakyTest paragraph into a short rule plus a compact list (when to emit, required fields, length limits, ignore-on-malformed) to reduce repetition.
Replace redundant emphasis (e.g. 'ONLY ... NEVER ... so never drop a valid rerun over it') with a single concise statement of the rule and its exception.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and free of concept padding, but the flakyTest paragraph is a long, defensive run-on ("ONLY", "NEVER", repeated qualifications, "so never drop a valid rerun over it") that could be tightened without losing clarity. | 2 / 3 |
Actionability | It gives an exact top-level JSON shape with a concrete example, per-action definitions, field length limits (200 chars), and an explicit tool restriction (only read_file and write_file), making the guidance copy-paste ready. | 3 / 3 |
Workflow Clarity | As a single-purpose classification skill the action is unambiguous (choose exactly one action per candidate, return one decision per candidate), with clear copy-fields-exactly and confidence rules; validation is delegated to the driver and malformed flakyTest entries are handled gracefully. | 3 / 3 |
Progressive Disclosure | The skill is a single well-organized SKILL.md with clear sections (actions list, flakyTest rules, output shape, constraints) and no bundle files, so for a short self-contained skill progressive disclosure is satisfied by its organization alone. | 3 / 3 |
Total | 11 / 12 Passed |