Content
85%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 exceptionally actionable, well-sequenced operational skill: nearly every instruction is a copy-paste command or a hard-won gotcha Claude could not know, with strong validation gates and feedback loops. Its one structural weakness is that it is a ~900-line monolith whose reference material (provider quirks, slug lookups, thinking-level constants) is inlined rather than split into bundled reference files.
Suggestions
Move the Provider Quirks Reference, Slug Lookup Reference, Thinking Levels Reference, and Lagging Providers sections (~400 lines) into references/ files, keeping one-line pointers in SKILL.md with a 'read when adding a model on this provider' trigger so the always-loaded body shrinks to the core workflow.
Deduplicate the lagging-provider guidance: Phase 1B restates provider lists and rationale that the Lagging Providers section also covers — state the rule once and link to the endpoint reference.
Move the Phase 5b PR body template into a references file or template asset, since it is only needed at the final step of a successful run.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with proprietary operational knowledge ("addopts = '-n auto' is active", "the together fork isn't exercised by model-integration tests") and avoids explaining concepts Claude already knows. Minor tightening is possible: the lagging-provider rule appears in both Phase 1B and the Lagging Providers section, and ~66KB is always loaded into context even for a single known-provider model addition. | 4 / 5 |
Actionability | Fully executable throughout: exact curl+jq catalog queries, exact pytest invocations including the bracket-filter "-k 'test_name[glm_5-fireworks_ai]'" syntax, a copy-paste PR body template, exact branch naming ("add-model/MODEL_NAME"), and concrete env-key bridging commands. | 5 / 5 |
Workflow Clarity | Phases 1→5 are explicitly sequenced with validation checkpoints everywhere: the 4b smoke test gates the 4c full suite, 3c requires printing the resulting list order to verify placement, 4e confirms failures are pre-existing before treating them as regressions, and 5.1 hard-gates pushing on test outcomes. A final checklist consolidates the process. | 5 / 5 |
Progressive Disclosure | Internal navigation is good (anchor links like "[Slug Lookup Reference](#slug-lookup-reference)" and the referenced scripts/check_thinking_levels.py exists), but ~400 lines of lookup material (Provider Quirks, Slug Lookup, Thinking Levels constants, Lagging Providers) live inline in SKILL.md rather than in the absent references/ files — content that clearly belongs in separate one-level-deep files. | 3 / 5 |
Total | 17 / 20 Passed |