Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, token-efficient skill body with executable examples and clean reference separation into the bundled script. The only gap is the absence of an explicit response-validation/feedback step before summarizing network results.
Suggestions
Add a validation checkpoint in the Execution behavior section: after the script runs, check that ok=true and status_code is 2xx before summarizing, and surface error.code/error.message if not.
Note how to handle truncated results (truncated=true) — re-run with a higher max_items or use save_raw — so Claude has a feedback loop for incomplete data.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body with no concept explanations Claude already knows; every section (rules, execution behavior, input/output) earns its tokens and the script is split into scripts/rest_request.py rather than inlined. | 3 / 3 |
Actionability | Provides copy-paste-ready executable invocation, concrete endpoint paths, and two complete JSON input examples with real field values; instructions are directly runnable against scripts/rest_request.py. | 3 / 3 |
Workflow Clarity | Input/output contracts and endpoint guidance are clearly sequenced, but there is no validation checkpoint confirming a successful response (e.g., checking ok/status_code before summarizing) for what is effectively a network call that can fail. | 2 / 3 |
Progressive Disclosure | Body is a concise overview that delegates implementation to scripts/rest_request.py, the single reference is one level deep and clearly signaled, and the script file is confirmed present in the bundle. | 3 / 3 |
Total | 11 / 12 Passed |