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.
A well-crafted, self-contained skill body: it teaches an unfamiliar multi-step workflow with concrete calls, endpoints, and response semantics, and includes validation checkpoints plus an error-recovery loop. The only real gaps are a slightly padded intro and the lack of a concrete agent_config example in step 4.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and Agenta-specific throughout — response fields, connection states, and pitfalls are all new information, not concepts Claude already knows. Not 5 because the opening role-framing paragraphs ("You are a setup agent: you build other agents... you need its tools") could be trimmed without losing actionability. | 4 / 5 |
Actionability | Concrete, executable guidance: a copy-ready find_capabilities JSONC call, exact fallback endpoints (POST /tools/discover, POST /tools/call), and a field-by-field response map. Not 5 because step 4 (building agent_config and composing agents_md from guidance) is described but never shown with a concrete example. | 4 / 5 |
Workflow Clarity | A clearly sequenced discover -> resolve-connections -> create -> test loop with explicit checkpoints and feedback loops: "check connection.state before assuming a tool will run", pause for OAuth authorization, "re-run discovery... to confirm ready", and "If a tool call fails on a missing connection, return to step 3". | 5 / 5 |
Progressive Disclosure | The skill is self-contained (no references/scripts/assets bundle files exist) and everything — the loop, the trigger caveat, the good habits — belongs inline at ~107 lines. Sections are clearly headed and the only pointer (the create-agenta-agent skill) is explicit and one level deep. | 5 / 5 |
Total | 18 / 20 Passed |