Content
85%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.
Excellent actionability and workflow design: executable recipes throughout, a well-sequenced reflect-loop research methodology with explicit checkpoints, and candid tool-specific gotchas. The main structural weakness is the absence of any progressive disclosure — everything lives inline in a single long file rather than a lean SKILL.md pointing to reference files.
Suggestions
Split the Research Methodology section (~75 lines) into a references/research-methodology.md file and keep a 5-10 line summary in SKILL.md, so the deep methodology is only loaded when a research task warrants it.
Move the Common Mistakes table and the domain/academic mode recipe sections into a references/ file, keeping SKILL.md to the core jq extraction, piping, and streaming patterns an agent needs most often.
Trim sentences that restate what the adjacent code already shows (e.g. "This makes it easy to discard progress noise and capture clean output") to push conciseness from good to lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with executable one-liners and tool-specific knowledge Claude cannot know (stderr/stdout split, OpenRouter fallback quirks), but a few sentences restate the obvious — e.g. "This makes it easy to discard progress noise and capture clean output" and "avoids shell quoting issues and makes parameters explicit and inspectable" — so it is efficient with minor trimmable over-explanation rather than perfectly lean. | 4 / 5 |
Actionability | Nearly every section is copy-paste-ready bash with real jq filters and flags ("perplexity-cli ask \"What is TLS?\" | jq -r '.content'", the stdin JSON recipes, the 2>/dev/null streaming capture), covering the common cases; the single placeholder (extract_specific_terms.sh) sits in a template where the flexibility is explicitly justified as "your extraction step". | 5 / 5 |
Workflow Clarity | The multi-step research workflow is clearly sequenced (broad → reflect → narrow) with explicit checkpoints ("AGENT REFLECTS on /tmp/r1.txt"), a rules-of-thumb checklist, a reusable reflect-loop template, and exit-code-driven error recovery — feedback loops for course correction are built in, and no destructive/batch operations apply the validation cap. | 5 / 5 |
Progressive Disclosure | There are no bundle files at all: ~310 lines of recipes, methodology, and reference tables are inlined in one SKILL.md. Sections are clearly headed, but content that clearly belongs in separate files — the ~75-line Research Methodology deep-dive, the mistakes table, the domain/academic mode recipes — is all inline with no overview-to-reference navigation. | 3 / 5 |
Total | 17 / 20 Passed |