Content
77%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 lean, highly actionable, hook-driven operating manual with an explicit validation feedback loop and a clear deviation-handling ladder — workflow clarity is genuinely strong. Its main structural weakness is progressive disclosure: two reference files ship in the bundle but are never linked from SKILL.md, and their content is partially duplicated inline.
Suggestions
Add a short '## References' section pointing to references/story_schema.yaml (full field/schema rules) and references/examples.md (worked examples), so the bundle files are discoverable instead of orphaned.
Move the duplicated segment/maslow_reason/tpb_reason field specifications out of the body into references/story_schema.yaml, keeping only the minimal field list and one example inline.
Show a concrete `revise --from SEG_ID --json '[...]'` payload example and clarify how commands are invoked via `execute_skill_script` versus direct `python scripts/daily_guidance.py` invocation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and table-driven with almost no padding — CLI commands, location_policy values, and Maslow needs are all tabulated. Minor trimmable instances remain: the 偏差处理 section re-lists record/deviate/revise commands already in the CLI table, the one-line TPB theory explainer, and the inlined segment-field requirements that duplicate references/story_schema.yaml. This fits anchor 4 (efficient, minor instances that could be trimmed) rather than anchor 5's 'every token earns its place'. | 4 / 5 |
Actionability | Commands are concrete and copy-paste ready (`plan --date D --json '<obj>'`, `record --date D --activity A --location L`) with a complete, executable plan JSON example and a sample hook output. It stops short of anchor 5 because the `revise --json '<list>'` payload is never shown (only inferable from the plan example) and the stated invocation mechanism `execute_skill_script` is never demonstrated — anchor 4's 'concrete code or commands with minor gaps'. | 4 / 5 |
Workflow Clarity | The per-step loop is a clear two-branch decision procedure driven by hook output (Case A: no valid story → submit plan; Case B: active_segment → act on it), with validation and a feedback loop built in ('校验通过才写文件,否则返回逐字段修复提示' — per-field fix hints on failure, plus a `check` command), a deviation ladder (record_only / local_patch→revise / carryover), and the 生成规则 section acting as a plan-creation checklist. This matches anchor 5 (clear sequence, explicit validation, error-recovery feedback, checklist) rather than anchor 4's 'minor validation gaps'. | 5 / 5 |
Progressive Disclosure | The body itself is well-sectioned and the script reference (scripts/daily_guidance.py, verified to exist with matching CLI) is one level deep, but the bundle's references/examples.md and references/story_schema.yaml are never mentioned anywhere in SKILL.md — orphaned rather than merely 'not clearly signaled' — and the inlined maslow_reason/tpb_reason/segment-field specifications duplicate story_schema.yaml. This lands on anchor 3 ('references present but not clearly signaled; content that should be separate is inline'), not anchor 2 because the body's own structure is good rather than minimal. | 3 / 5 |
Total | 16 / 20 Passed |