Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that provides concrete, executable guidance for multiple agent modification tasks. Its main weakness is the lack of validation checkpoints — after modifying agent code, there's no explicit step to verify changes work before proceeding. The progressive disclosure and conciseness are excellent, with clear cross-references to related skills.
Suggestions
Add a brief validation step after each modification type (e.g., 'Run `python -c "from agent_server.agent import agent; print(agent.name)"` to verify changes load correctly') to improve workflow clarity.
Consider adding a short 'After any modification' checklist at the end that sequences: modify → test locally (link to run-locally skill) → deploy (link to deploy skill), making the overall workflow explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and well-structured. It avoids explaining what MCP servers are, what agents are, or how Python works. Every section provides concrete code without unnecessary preamble. The table format for key files is efficient. | 3 / 3 |
Actionability | Every section provides executable, copy-paste ready Python code with concrete examples — SDK setup, adding MCP servers, changing models, modifying instructions, and running the agent both streaming and non-streaming. Model names and URL patterns are specific. | 3 / 3 |
Workflow Clarity | The skill covers multiple modification tasks but presents them as independent recipes rather than a sequenced workflow. There are no validation checkpoints — e.g., no guidance on verifying the agent works after modification, no 'test locally before deploying' step integrated into the flow. The 'Next Steps' section hints at testing but doesn't integrate it as a validation checkpoint. | 2 / 3 |
Progressive Disclosure | Content is well-organized with clear sections for each task. References to other skills (add-tools, discover-tools, run-locally, deploy) are one level deep and clearly signaled. External resources are listed concisely. The main file is highlighted upfront with a supporting table for context. | 3 / 3 |
Total | 11 / 12 Passed |