Content
71%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 dense, well-structured operational skill: real, verified CLI commands with a clear two-branch per-step workflow and built-in validation feedback loops. The main structural weakness is progressive disclosure — the bundled references/examples.md and references/story_schema.yaml are never mentioned in the body while their content is partially duplicated inline — plus a few over-explained passages and undocumented commands.
Suggestions
Add a short 'References' section linking the existing bundle files (e.g., full-day story example: references/examples.md; complete field schema: references/story_schema.yaml) and trim the inlined field-by-field maslow/tpb duplication accordingly.
Document the `init` subcommand (present in the script) in the CLI table, and either show or drop the `execute_skill_script` invocation convention so every command is copy-paste runnable.
Cut the Theory of Planned Behavior explanation ('计划行为理论(TPB)认为行为意图由三类因素形成') to just the field definitions, and make the validation-recovery loop explicit (on failed plan validation: read per-field hints → fix JSON → resubmit → re-check).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient: tables for CLI commands, location_policy and maslow values, a compact JSON example, and no padding — nearly every token carries operational information. It falls short of 5 mainly because of minor over-explanation Claude does not need, e.g., '计划行为理论(TPB)认为行为意图由三类因素形成' restates the familiar Theory of Planned Behavior, and the hook output example block restates fields already specified elsewhere. | 4 / 5 |
Actionability | Guidance is mostly executable: a CLI command table (plan/current/show/record/deviate/revise/check — all verified to exist in scripts/daily_guidance.py), a complete plan JSON example with exact field names, enumerated location_policy and deviation-type values, and concrete placeholder commands like `python scripts/daily_guidance.py plan --date YYYY-MM-DD --json '<JSON对象>'`. Minor gaps keep it from 5: the `init` subcommand present in the script is undocumented, `execute_skill_script` is referenced but never shown how to invoke, and the plan example shows only one segment rather than a full 00:00–24:00 day. | 4 / 5 |
Workflow Clarity | The per-step flow is clearly sequenced with two explicit branches (no valid story → submit plan; valid story → act on active_segment), and validation is built in: '校验通过才写文件,否则返回逐字段修复提示' plus a `check` command and self_check fields form a validate-and-fix loop. It does not reach 5 because the recovery loop after a failed plan validation is described only as '修复提示' without an explicit resubmit/re-validate sequence, and the deviation decision tree lacks an explicit checkpoint for when to revise vs. record-only. | 4 / 5 |
Progressive Disclosure | The body itself is well-sectioned with headers, but judged against the actual bundle: references/examples.md and references/story_schema.yaml exist and are never referenced anywhere in the body, so their content (full-day story examples, the complete field schema) is undiscoverable. Meanwhile schema detail (required segment fields, maslow/tpb structures) is inlined, duplicating what story_schema.yaml holds — matching anchor 3 ('references present but not clearly signaled; content that should be separate is inline'). It is above 2 because the body does have clear structure and the script reference is real, but below 4 because the two reference files are unlinked. | 3 / 5 |
Total | 15 / 20 Passed |