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military-deception-tactics

Use when facing a numerically superior enemy or planning ambush warfare. Employs Sun Bin's staged retreat (reducing cooking fires from 100,000 to 30,000) to feign mass desertion, plus asymmetric resource allocation (sacrifice weak vs. strong, deploy strong vs. middle) for 2-1 victories.

72

Quality

89%

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

A concise, well-structured skill body with sequenced steps and validation checkpoints. It is slightly below top marks on actionability and workflow clarity because feedback-loop phrasing and a couple of general step descriptions could be made more explicit.

Suggestions

Tighten a few general steps (e.g., 'Enter enemy territory and establish initial presence') into more concrete, decisive actions.

Make the validate→adjust→retry loop explicit in the Validation section (e.g., 'If the bait is not taken, do not commit — re-evaluate the deception before engaging').

Add a one-line guardrail stating when NOT to use these tactics (e.g., against an enemy already familiar with Sun Bin's methods) to sharpen actionability.

DimensionReasoningScore

Conciseness

Lean and efficient — no padding or over-explanation of concepts Claude already knows; the single Overview line and concrete numbered steps each earn their place.

5 / 5

Actionability

Provides concrete, specific guidance (100k→50k→30k fire progression, explicit tier matchups) rather than vague direction, but as an instruction-only strategy skill it lacks copy-paste-ready artifacts and has minor generality like 'establish initial presence', placing it just below the top anchor.

4 / 5

Workflow Clarity

Both tactics are clearly sequenced and a dedicated Validation section adds checkpoints ('verify… before committing', 'confirm tier assignments are accurate'), but explicit validate→fix→retry feedback loops are less spelled out than the top anchor, so it sits at 4 rather than 5.

4 / 5

Progressive Disclosure

Under 50 lines, no external references needed, and well-organized into clear sections (Overview, Tactic 1, Tactic 2, Expected Outcome, Validation), meeting the simple-skill exception for a top score.

5 / 5

Total

18

/

20

Passed

Description

92%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.

A strong, specific description with an explicit 'Use when…' trigger and concrete, distinctive capabilities. The only minor gap is trigger-term synonym coverage, which sits just below the top anchor.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — staged retreat reducing cooking fires 100k→30k to feign desertion, and asymmetric allocation (sacrifice weak vs strong, deploy strong vs middle) — matching the 'multiple specific concrete actions; comprehensive coverage' anchor.

5 / 5

Completeness

Explicitly answers both 'what' (staged retreat + asymmetric allocation for 2-1 victories) and 'when' ('Use when facing a numerically superior enemy or planning ambush warfare') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Natural domain phrases 'facing a numerically superior enemy' and 'planning ambush warfare' give good keyword coverage, but a few natural synonyms/variants are missing, fitting the 'good coverage; a few natural terms missing' anchor rather than the comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Sun Bin's deception tactics with cooking-fire reduction and 2-1 asymmetric allocation) with distinct triggers and minimal overlap with other skills.

5 / 5

Total

19

/

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

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