Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, well-structured, and clear for a simple single-purpose skill, with a real bundled script and a verification step. The main gap is the absence of an inline executable usage example, which weakens actionability.
Suggestions
Add a short inline code snippet showing how to import and call fetch_latest_signals() so the skill is copy-paste ready without opening the bundled script.
Include a one-line note on what the returned formatted report contains (e.g., fields/structure) so Claude knows what to expect before running it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well-organized with no padding explaining what financial signals are or how libraries work; every section (endpoint URL, function, dependencies, test command) earns its place. | 3 / 3 |
Actionability | It provides a concrete endpoint URL, a function name, a script path, and a runnable test command, but lacks an inline executable code example showing how to actually call fetch_latest_signals(), leaving the in-SKILL guidance incomplete. | 2 / 3 |
Workflow Clarity | As a simple single-task skill, the single fetch action is unambiguous and includes a verification checkpoint via the test script, satisfying the simple-skills allowance for a clear single-action workflow. | 3 / 3 |
Progressive Disclosure | The skill is under 50 lines with clear sections (Overview, Capabilities, Dependencies, Testing) and a single one-level reference to a real bundled file (scripts/deepear_lite.py, verified to exist), meeting the simple-skill bar for well-organized structure. | 3 / 3 |
Total | 11 / 12 Passed |