Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete commands, flag documentation, and a full output template, and it makes appropriate use of a sources.json reference. Its weaknesses are verbosity from repeated source/domain listings and a workflow that lacks integrated validation feedback loops for a batch network operation.
Suggestions
Dedupe the source lists: keep one canonical enumeration (e.g. in sources.json or a SOURCES reference) and reference it from the Overview/Network sections instead of repeating full lists inline.
Move the domain keyword tables and heat-score formula into a reference file (e.g. references/scoring.md) and link to it, tightening the main body.
Add an explicit validation/retry step in the Workflow (e.g. check for empty results or fetch errors before translating/formatting) to create a feedback loop for the batch fetch.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | At ~295 lines the body repeats source enumerations (General sources appear in Overview, Smart Source Routing, and the Network Adaptation list) and restates domain keyword tables, so it could be materially tightened despite being mostly domain-specific detail. | 2 / 3 |
Actionability | Provides copy-paste-ready bash commands with documented flags (--limit, --max-per-source, --all-sources, --no-balance), the output JSON schema, and a complete output-format template — fully executable guidance. | 3 / 3 |
Workflow Clarity | The numbered workflow (extract keyword → run → read JSON → translate → format → present) is clearly sequenced, but this batch multi-source fetch has no integrated validation/error-recovery checkpoints; Troubleshooting is separate and reactive, capping clarity at 2 per the batch-operations scoring note. | 2 / 3 |
Progressive Disclosure | Source config is correctly offloaded to a real, clearly-signaled references/sources.json (one level deep), but large inline blocks — full source lists, domain keyword tables, and the heat-score formula — remain in SKILL.md rather than being split into reference files. | 2 / 3 |
Total | 9 / 12 Passed |