Content
88%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-engineered integration skill: highly actionable with executable per-framework recipes, a clearly sequenced five-step workflow with real-request verification, and explicit failure templates for error recovery. It is dense but not padded, with only minor conciseness trim and no need for bundle-file splitting given its scope.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and purposeful — per-SDK wiring recipes and curl commands with no padding about what SDKs or LLMs are — though explanatory prose like 'Two facts that make the wiring safe (both are gateway-enforced, not hopes)' could be trimmed slightly, fitting the efficient-with-minor-trim anchor rather than the fully lean 5. | 4 / 5 |
Actionability | Copy-paste-ready executable code is given for each major SDK (OpenAI TS/Python, Anthropic, Vercel, LangChain, LiteLLM, raw HTTP) plus concrete verification curl commands, covering the common cases and matching the fully-executable top anchor. | 5 / 5 |
Workflow Clarity | Steps 1–5 are explicitly sequenced with a validation checkpoint in Step 4 ('Success = HTTP 200 with a usage block') and verbatim failure templates that supply fix-and-retry feedback loops for each error class, matching the clear-sequence-with-explicit-validation anchor. | 5 / 5 |
Progressive Disclosure | Structure is clear with section headers and the only out-of-file references ('<docs origin>/docs/integrations/' and 'discover-workflows.md') are well-signaled and one level deep; because no bundle files exist, the inline per-SDK recipes are appropriately placed, though the body is a single dense file rather than split reference material, keeping it just under the top anchor. | 4 / 5 |
Total | 18 / 20 Passed |