CtrlK
BlogDocsLog inGet started
Tessl Logo

earth-collapse-stability-analysis

Use when assessing regime stability by distinguishing 土崩 (popular uprising from mass discontent) versus 瓦解 (elite rebellion with military resources). Prioritizes popular sentiment analysis over elite threat management.

75

Quality

92%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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 compact, well-structured analytical framework with a clear sequence and validation checkpoints. Its main weakness is actionability: the sentiment-assessment questions lack concrete signals or a scoring method.

Suggestions

Add concrete indicators or a scoring rubric for each assessment question (e.g. define what 'economically secure' means and how to weight it) so the popular-sentiment assessment is executable rather than guiding.

Specify how to gather evidence for each warning sign (e.g. data sources or observable signals for '下怨而上不知') to move the analysis from framework to procedure.

Tie each response in step 4 to a concrete verification of success, so the feedback loop closes on the recommended action rather than only on the risk classification.

DimensionReasoningScore

Conciseness

Lean framework with no generic concept padding; specialized indicators (e.g. "民困而主不恤") earn their place and every section adds domain-specific value Claude would not reliably infer.

3 / 3

Actionability

Steps 3–4 give concrete if-then decision rules, but the assessment questions ("Are people economically secure?") are guiding rather than executable, with no concrete signals or method to score sentiment.

2 / 3

Workflow Clarity

A clearly sequenced four-step process backed by a dedicated Verification section with explicit checkpoints ("Confirm popular sentiment indicators…have been assessed before evaluating elite threats").

3 / 3

Progressive Disclosure

Single-purpose skill with well-organized sections and no need for external references (none present); per the simple-skills note this satisfies progressive disclosure.

3 / 3

Total

11

/

12

Passed

Description

100%

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 well-crafted: it states a concrete analytical capability, includes an explicit Use-when trigger, and occupies a clearly distinctive niche. It cleanly satisfies all four dimensions.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — "assessing regime stability by distinguishing 土崩…versus 瓦解" and "Prioritizes popular sentiment analysis over elite threat management" — rather than vague domain naming.

3 / 3

Completeness

Explicitly answers both what (distinguishing and prioritizing the two threat types) and when ("Use when assessing regime stability"), with the trigger clause present.

3 / 3

Trigger Term Quality

Natural domain terms ("regime stability", "popular uprising", "mass discontent", "elite rebellion", "popular sentiment") with an explicit "Use when" trigger give good coverage a user would plausibly say.

3 / 3

Distinctiveness Conflict Risk

A highly niche classical-Chinese stability framework with distinctive triggers (土崩/瓦解) that is unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.