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.
The content is a well-structured, highly actionable labeling ruleset with a clear workflow and an explicit label-existence verification checkpoint. Its main weakness is token redundancy from repeated scope/Tizen restatements.
Suggestions
De-duplicate the scope prohibition and Tizen-exclusion material — state each once in the Scope section and reference it from 'What NOT to do' rather than repeating the full list.
Add an explicit validate→fix→retry feedback loop for the labeling step (e.g., re-check applied labels against the allowed families before finishing) to push workflow clarity toward 5.
Consider moving the long AI-agent-vs-infrastructure tie-break guidance into a one-level-deep reference file to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient rule statements with no padding of concepts Claude already knows, but it repeats material: the scope prohibition is restated in 'What NOT to do', and the Tizen exclusion is emphasized roughly five times. Not a 4 because the redundancy could be trimmed, and not a 2 because the bulk is concrete, on-point guidance rather than generic explanation. | 3 / 5 |
Actionability | Guidance is concrete and copy-paste-ready: specific label names, an explicit file-pattern-to-label mapping table ('*.android.cs ... → platform/android'), and precise tie-break rules. Per the code-vs-instruction scoring note, absence of code is not penalized for an instruction-only skill when guidance is this actionable. Not a 4 because coverage of common cases is comprehensive with no real gaps. | 5 / 5 |
Workflow Clarity | There is a clear sequence (Label discovery → area rules → platform rules → noop → prohibitions) with an explicit verification checkpoint ('verify it exists with the `get_label` tool before adding it') and a conservative-precision guardrail. Not a 5 because there is no explicit validate→fix→retry feedback loop, and not a 3 because the key verification checkpoint is present. | 4 / 5 |
Progressive Disclosure | Single-file skill with clear, navigable section headers (Scope, Label discovery, Labeling rules with sub-sections, When to noop, What NOT to do) and no external references needed; no bundle files exist to reference. Not a 5 because the body exceeds ~50 lines and the long AI-agent-vs-infrastructure tie-break block could plausibly live in a separate reference; not a 3 because structure and signaling are good. | 4 / 5 |
Total | 16 / 20 Passed |