Content
73%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.
The body is a well-sequenced, highly actionable workflow with strong validation and security framing, supported by a real bundled script. Its main weakness is conciseness — several pedagogical asides and conceptual primers pad the document without adding guidance Claude doesn't already have.
Suggestions
Trim pedagogical commentary that explains concepts Claude already knows — e.g. the 'functionally harmless to leak… but pedagogically correct' os.close(fd) aside and the niche-bucket 'sentiment analysis' parenthetical — leaving only the actionable instruction.
Replace the 'write JSON to $RESULTS_JSON then pass it to the script' comment placeholder with a concrete one-liner (e.g. a heredoc or printf) so the Phase 3 snippet is fully copy-paste executable.
Clarify which referenced files (research-quality.md, synthesis-contract.md) belong to the parent blog skill versus this skill's bundle, or vendor the specific LAWs/checklist content inline, so the skill is navigable without assuming the parent bundle is present.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and well-structured, but several passages over-explain what Claude already knows — the 'functionally harmless to leak in a short-lived subprocess but pedagogically correct' aside, the indirect-prompt-injection vector primer, and the 'Actual contrarian opinion detection would require sentiment analysis' parenthetical — which could be trimmed; not the lean 4 or 5. | 3 / 5 |
Actionability | Provides mostly executable guidance: a copy-paste tempfile.mkstemp snippet, the full `python3 scripts/discourse_research.py` invocation with all flags, a concrete result-JSON schema, and a real accompanying script; the placeholder 'write JSON to $RESULTS_JSON then pass it to the script' is a minor gap keeping it from a 5. | 4 / 5 |
Workflow Clarity | Clear Phase 0–5 sequence with explicit validation checkpoints (mandatory pre-flight with stop/wait, Phase 3.5 untrusted-data contract, script-side validation), a decomposition checklist, and an Error Handling section with feedback loops for recovery — matching the top anchor. | 5 / 5 |
Progressive Disclosure | Good section structure with one-level-deep, clearly signaled references (research-quality.md, synthesis-contract.md, discourse_research.py); the only gap is that several referenced paths (skills/blog/references/…) live outside this skill's own bundle, which contains just the one script, so organization is not fully self-contained. | 4 / 5 |
Total | 16 / 20 Passed |