Content
82%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 highly actionable, well-sequenced workflow with excellent executable commands and good progressive disclosure via real bundle files. The main gaps are minor: some trimmable example prose, no explicit script-output verification step, an orphaned reference file, and stub planned phases.
Suggestions
Add an explicit validation checkpoint after each script run (e.g. assert row counts or schema of /tmp/emu_user_sites.json before proceeding) to close the workflow_clarity gap.
Surface references/political_ranks.md from the body (e.g. in the Key reference files list or Step 1.5) so it is navigable rather than orphaned.
Tighten the longer example dialogues and the column-mapping illustration to improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with no concept-explanation padding Claude already knows, though several illustrative example dialogues and the mapping table could be trimmed; sits above the 3 anchor but not perfectly lean. | 4 / 5 |
Actionability | Fully executable guidance throughout — exact commands ('python3 scripts/parse_user_data.py /tmp/emu_user_data.xlsx /tmp/emu_user_sites.json'), file paths, hex color codes (FFCCFFCC), CLI flags, and the irn_mapping.json format are copy-paste ready. | 5 / 5 |
Workflow Clarity | Clear multi-phase sequence (Session start → Step 1 → Phase 1.1–1.8) with confirmation gates, score-threshold match review, and confidence-based rank handling; minor validation gaps (no explicit script-output verification) and Phases 2–4 are planned stubs keep it below 5. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-signaled one-level-deep references (§ pointers into phase1_sites.md, per-script references); minor gaps are the orphaned political_ranks.md not surfaced from the body and forward-references to not-yet-created phase2/phase3 files. | 4 / 5 |
Total | 17 / 20 Passed |