Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill establishes a clear narrative wrapper ('Steamer') around an existing digital immortality engine and correctly delegates to shared tooling rather than forking. However, it suffers from over-reliance on external references without providing enough standalone actionable content—Phases 3–6 are completely opaque without reading the root SKILL.md. The workflow lacks validation checkpoints and the meta-instructions at the top add redundancy.
Suggestions
Add a one-line summary for each of Phases 3–6 inline so the skill is understandable without reading the root SKILL.md (e.g., 'Phase 3: Dimension extraction — run `python3 kit/immortal_cli.py extract ...` per dimension').
Insert explicit validation/checkpoint steps between phases (e.g., 'After Phase 2, verify collected materials with `python3 kit/immortal_cli.py validate ...` before proceeding').
Remove or condense the '复制给 AI' preamble—most of its content is repeated in the '路径约定' and '操作顺序' sections.
Provide at least one concrete end-to-end example command sequence for a public-figure scenario to make the skill copy-paste actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some redundant explanations (e.g., repeating path conventions multiple times, the '复制给 AI' preamble restates things the body covers). The Chinese text is reasonably tight but could be tightened further by removing the meta-instructions at the top. | 2 / 3 |
Actionability | Provides some concrete guidance (CLI commands, file paths, phase sequence) but Phases 3–6 are entirely delegated to another file with no inline summary. The skill relies heavily on external references without giving enough standalone executable detail—no concrete code examples or copy-paste-ready commands beyond the generic CLI pattern. | 2 / 3 |
Workflow Clarity | The Phase 0–6 sequence is clearly listed and ordered, but Phases 3–6 are a black-box reference to the root SKILL.md with zero inline detail. There are no explicit validation checkpoints or error-recovery feedback loops between phases, and the self-check list at the end is minimal and not integrated into the workflow steps. | 2 / 3 |
Progressive Disclosure | References to external files (root SKILL.md, personas/, recipes/, FOR_AI.md) are present and one-level deep, which is good. However, the signaling is inconsistent—some references use relative links while others just name paths—and the top '复制给 AI' section creates confusion about entry points. The delegation of Phases 3–6 entirely to another file without even a one-line summary per phase hurts navigability. | 2 / 3 |
Total | 8 / 12 Passed |