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memory-audit-pattern-extraction

模式提取与失效解药分析。当发现多条记忆在讲同一个教训,或发现自己在一而再再而三地犯同样的错误时使用。

74

Quality

91%

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a tightly written, instruction-only cognitive workflow: a clearly sequenced six-step relapse-diagnosis process with explicit gating, a concrete failure-mode checklist, and a cold-start self-verification QA loop. It assumes Claude's competence and adds nothing the model already knows.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, never explaining what memories, URIs, or disclosures are; every line earns its place with no padded concept explanations, matching the level-3 'lean and efficient' anchor.

3 / 3

Actionability

For an instruction-only skill it gives concrete, specific guidance: a named diagnostic question, an enumerated failure-mode checklist (位置错误/触发器失效/认知污染/深度不够), and a three-dimension cold-start QA checklist, which is concrete actionable guidance rather than vague direction.

3 / 3

Workflow Clarity

It presents a clearly sequenced six-step process with explicit gating logic ('在得出任何新结论前,你必须先问…', '如果失败发生在解药之后…') and a self-verification loop (冷启动质检); the operation is non-destructive so the missing-validation cap does not apply.

3 / 3

Progressive Disclosure

Under 50 lines with no need for external references, the content is well-organized into numbered steps plus a closing 写入纪律 section, satisfying the simple-skill allowance for a level-3 progressive-disclosure score with well-organized sections alone.

3 / 3

Total

12

/

12

Passed

Description

82%Weight 40%Scale 1-3

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 cleanly pairs a concise what-claim with an explicit when-trigger in third-person voice, with strong natural trigger terms. Its main weakness is specificity: the named actions ('模式提取','分析') are abstract rather than a concrete enumerated action list.

Suggestions

Replace the abstract verbs with a short enumerated action list, e.g. '收集重复失败记录、核对解药时间戳、诊断解药失效原因、重铸解药' to lift specificity toward the level-3 anchor.

Add a distinctive noun or two (e.g. 'memory network', 'relapse diagnosis') to the what-portion to reduce overlap with generic memory-management skills.

DimensionReasoningScore

Specificity

The description names a clear domain ('模式提取与失效解药分析') and implies a couple of actions, but the actions are abstract ('分析','模式提取') rather than a list of multiple specific concrete operations, matching the 'names domain and some actions, but not comprehensive' anchor rather than the level-3 multi-action example.

2 / 3

Completeness

It explicitly states both what the skill does ('模式提取与失效解药分析') and when to use it ('当发现...时使用'), which is an explicit Use-when trigger clause matching the level-3 anchor.

3 / 3

Trigger Term Quality

It includes natural phrasing a user would actually express ('当发现多条记忆在讲同一个教训' and '发现自己在一而再再而三地犯同样的错误'), giving good coverage of natural trigger terms rather than technical jargon.

3 / 3

Distinctiveness Conflict Risk

The niche (memory-network relapse diagnosis) is fairly specific and unlikely to trigger for unrelated skills, but the 'what' portion is abstract enough that it could overlap with generic memory-management skills, matching the 'somewhat specific but could still overlap' anchor.

2 / 3

Total

10

/

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
Dataojitori/nocturne_memory
Reviewed

Table of Contents

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