Content
96%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.
A well-crafted operational skill: lean, information-dense, fully executable, with a clearly sequenced five-phase workflow that includes confirmation gates and post-edit verification. Bundle scripts are real, correctly referenced, and carry the implementation weight; the only structural refinement left is moving some inline provider-quirk detail into a reference file.
Suggestions
Move the per-provider API-quirk bullet list and the 'Providers NOT covered' / 'Providers to skip' detail into a one-level-deep references file (e.g. references/providers.md) so SKILL.md stays a leaner overview of the five phases.
The Phase 2 quirk notes duplicate docstring content in scripts/check_provider.py; consider keeping only the interpretation-relevant quirks (what 'missing' means per provider) inline and linking to the script for the rest.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section carries non-obvious, task-critical information: API quirks ("Together AI returns a flat JSON array", "OpenRouter `:exacto` is a virtual routing suffix... never appears in model listings"), env-var requirements, and provider skip rationales. No padding, no explanations of concepts Claude already knows. Not a 4 because I found no over-explained passages that could be trimmed without losing actionable content. | 5 / 5 |
Actionability | Every phase gives copy-paste-ready commands: "python3 .agents/skills/kiln-check-deprecation/scripts/extract_models.py > /tmp/kiln_extracted.json", "grep -n 'model_id="<model_id>"' libs/core/kiln_ai/adapters/ml_model_list.py", plus executable jq pipelines for Bedrock and LiteLLM and a concrete output format template for the report. Fully executable guidance covering the common cases. | 5 / 5 |
Workflow Clarity | Five clearly sequenced phases with explicit checkpoints: the pre-check rules ("Only check providers where `deprecated=False`"), a user-confirmation gate ("Ask the user to confirm before making changes"), and a verification step ("grep -c \"deprecated=True\"... Ensure the count matches what you expect"), ending in a checklist. The destructive/batch-operation cap does not apply because validation and confirmation are present, and there are error-recovery notes ("If `gcloud auth print-access-token` fails, prompt the user to authenticate"). | 5 / 5 |
Progressive Disclosure | Structure is good: heavy lifting is properly offloaded to real bundle scripts (both `scripts/extract_models.py` and `scripts/check_provider.py` exist and are referenced by exact path), sections are clearly labeled by phase, and there is a provider table and a checklist. Not a 5 because the ~15-line provider-quirk bullet list and the "Providers NOT covered" detail could live in a one-level-deep reference file, keeping SKILL.md as a leaner overview; not a 3 because what is inlined is directly needed to interpret results and nothing is buried or nested. | 4 / 5 |
Total | 19 / 20 Passed |