Content
78%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-built, action-oriented skill body: concrete runnable command, complete argument and output documentation, and unusually precise presentation guidance. The main defects are a documented-but-unimplemented `--sigma` flag (which breaks one example command) and a missing description of the script's error-output path.
Suggestions
Remove the `--sigma` argument from the Arguments section and the `SPY --sigma 2.0` example (or implement the flag in scripts/whale_hunting.py) — as documented, running that example fails with an argparse 'unrecognized arguments' error.
Document the error path: scripts/whale_hunting.py prints JSON containing an `error` field and exits 1 on data failures (e.g. WhaleDataError); a short note in Output telling the agent to relay the error and stop would close the workflow's validation gap.
Fold the Timezone section's script-facing requirements ('All JSON output must include generated_at and data_delay fields') into a one-line note that these are already handled by the script, keeping the section purely about interpreting NY-time timestamps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — a concrete command, arg list, output schema, examples, and reporting spec with zero explanation of known concepts. It falls short of anchor 5 only because of minor redundancy: the Timezone section's "All JSON output must include `generated_at` and `data_delay` fields" is a script-implementation requirement the script already satisfies, not guidance for the agent running it. | 4 / 5 |
Actionability | The skill provides a fully concrete command with path, documented arguments, four copy-paste examples, and an explicit output schema — mostly executable. It misses anchor 5 because `--sigma` ("Std-deviation multiplier for crude outlier threshold", used in the example `SPY --sigma 2.0`) is not implemented in scripts/whale_hunting.py's argparse, so that documented flag and example command fail with an unrecognized-arguments error. | 4 / 5 |
Workflow Clarity | The single-action workflow is unambiguous — run the script, then present results per a very specific reporting format (header line template, table columns, sort by `total_invested` descending, interpretation guidance). It misses anchor 5 because the script's failure path (JSON output with an `error` field and exit code 1) is undocumented, leaving a minor validation gap for error recovery. | 4 / 5 |
Progressive Disclosure | Content is well-organized into tight sections (Instructions, Arguments, Output, Examples, Reporting, Requirements, Timezone) and the only bundle material is correctly delegated to scripts/whale_hunting.py, whose path matches the command. Nothing that belongs in a separate file is inlined and the reference is one level deep, matching the top anchor for a well-structured single-script skill. | 5 / 5 |
Total | 17 / 20 Passed |