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astronomical-observation-method

Use when interpreting celestial phenomena for governance guidance or predicting earthly events. Tracks the five planets (五星) against 28 constellations (二十八宿) and applies the response framework: 日变脩德, 月变省刑, 星变结和.

59

Quality

67%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./kg/ontology/ontology-v1/skus/procedural/skill_057/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

Reviews 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-structured, lean observational method with sequenced steps and a validation checklist. Its main weakness is the interpretive step, which stays abstract where concrete anomaly-to-outcome mappings would help.

Suggestions

Expand Step 3 with concrete mappings: tie each anomaly type (赢/缩/犯/守) and each planet to specific predicted outcomes rather than generic 'good/bad omens'.

Add a validate-and-correct loop after interpretation (e.g., cross-check against historical records; if contradictory, re-examine color/brightness) to strengthen the feedback checkpoint.

Trim the Overview section since it restates the frontmatter description, and consider merging Recording Requirements into the validation flow to reduce redundancy.

DimensionReasoningScore

Conciseness

Lean bullet structure with brief, domain-specific terms that Claude would not already know; the only minor trim is the Overview restating the description.

4 / 5

Actionability

Concrete named procedures and anomaly categories (赢, 缩, 犯, 守) plus specific watch phrases, but Step 3 'Interpret Signs' gives only abstract good/bad criteria without mapping specifics to outcomes.

3 / 5

Workflow Clarity

Three clearly sequenced steps (monitor, identify anomalies, interpret) followed by an explicit Validation checklist and recording requirements; minor gap is the lack of a validate-fix-retry feedback loop.

4 / 5

Progressive Disclosure

No bundle files exist and none are needed; content is self-contained with well-organized sections (bodies, procedures, response framework, validation), though the body slightly exceeds the 50-line simple-skill threshold.

4 / 5

Total

15

/

20

Passed

Description

67%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, well-triggered, and clearly niche, cleanly answering both what and when. It would benefit from a broader set of natural synonyms and trigger phrases.

Suggestions

Add natural synonyms and trigger phrases such as 'astronomy', 'astrology', 'omens', 'portents', or 'celestial omens' to broaden trigger term coverage.

Expand the 'Use when...' clause with multiple concrete user phrasings (e.g., 'Use when the user asks about celestial omens, planetary portents, or interpreting astronomical signs for governance').

DimensionReasoningScore

Specificity

Names the domain and several concrete actions — 'Tracks the five planets (五星) against 28 constellations (二十八宿)' and 'applies the response framework: 日变脩德, 月变省刑, 星变结和' — with only minor coverage gaps.

4 / 5

Completeness

Explicitly states what it does (track planets/constellations, apply response framework) and when to use it ('Use when interpreting celestial phenomena for governance guidance or predicting earthly events'), though the trigger could list more concrete phrases.

4 / 5

Trigger Term Quality

Includes natural phrases ('interpreting celestial phenomena', 'governance guidance', 'predicting earthly events') but misses common synonyms such as astronomy, astrology, omens, or portents.

3 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (classical Chinese 五星/二十八宿 astrological governance) with distinct terminology, with only minor overlap risk against general astrology skills.

4 / 5

Total

15

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
baojie/shiji-kb
Reviewed

Table of Contents

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