Content
81%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 highly actionable, well-sequenced skill body with concrete tool calls, bash commands, and explicit validation gates for a sensitive secret-handling workflow. The main weakness is repetition of the credential-decision gate logic across several sections, which inflates length without adding new information.
Suggestions
Consolidate the reuse-vs-new "ask then stop" gate logic into a single section (Mandatory First Step or Workflow step 2) and have other sections reference it, rather than restating the rule in When To Use, Credential Decision Messages, and the Workflow.
Consider externalizing the detailed Credential Decision Messages branches and the picker/connector tool-call choreography into a reference file, keeping SKILL.md as a tighter overview that points to it.
Soften the soft validation in step 8 ("when practical") into an explicit checkpoint, or state the fallback verification when running the project command is not practical.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows, but the reuse-vs-new "ask then stop" gate logic is restated across When To Use, Mandatory First Step, Credential Decision Messages, and Workflow step 2, so it could be tightened. | 3 / 5 |
Actionability | Fully executable guidance with exact tool names, tool_search procedures, connector ids, and copy-paste bash commands (e.g. `node "<plugin root>/scripts/openai-platform-api-key.mjs" prepare --name "Codex"`) covering the common cases. | 5 / 5 |
Workflow Clarity | An 8-step sequence with explicit validation checkpoints ("stop until the user answers", refuse symlink/out-of-workspace targets, verify by running the project command) and feedback loops (retry tool_search after the user connects the app). | 5 / 5 |
Progressive Disclosure | Well-organized sections with a clearly signaled one-level-deep reference (`references/evals.md`), though the dense body keeps most operational detail inline rather than splitting it into separate files. | 4 / 5 |
Total | 17 / 20 Passed |