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Searches and injects relevant memories into context before starting work on a task. Use when beginning a new task, switching context, or when project history, past decisions, or coding conventions need to be loaded.

72

Quality

87%

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SecuritybySnyk

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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.

The body is a tight, actionable, well-sequenced workflow with concrete filter objects, a query table, and a clear output format, all within a well-organized simple skill that needs no external references. It is a strong example of token-efficient instruction-only guidance.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence: a compact query-angle table, concrete filter objects, and a short output template, with no explanation of concepts Claude already knows — every token earns its place.

3 / 3

Actionability

It gives executable, copy-paste-ready guidance: exact search_memories filter JSON, a query-angle/purpose table, dedup-by-ID, and a literal output format block, matching the fully-actionable anchor (instruction-only but concrete).

3 / 3

Workflow Clarity

A clear 5-step sequence runs from topic extraction through parallel searches, dedup, output, and an explicit 'if zero results' branch; the operation is read-only so no destructive-validation checkpoint is required, satisfying the simple-skill allowance.

3 / 3

Progressive Disclosure

This is a simple, single-purpose skill under 50 lines with no need for external references, and its sections (When to use, Steps, Constraints) are well-organized, qualifying for the score-3 simple-skill allowance.

3 / 3

Total

12

/

12

Passed

Description

75%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 clearly communicates both purpose and trigger conditions with an explicit 'Use when' clause and a distinct niche. It could be sharpened by adding more concrete action verbs and the natural phrasings users actually say.

Suggestions

Expand the action list beyond 'searches and injects' to more specific verbs (e.g. 'queries, ranks, and injects the most relevant memories') to reach the score-3 specificity anchor.

Add natural trigger phrasings users would actually say, such as 'when the user asks what we know about X' or 'context for X', to improve trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain and two concrete actions ('Searches and injects relevant memories into context') but does not list multiple specific actions like the score-3 anchor; it stays at the 'names domain and some actions' level.

2 / 3

Completeness

It explicitly answers both 'what' ('Searches and injects relevant memories into context before starting work on a task') and 'when' with an explicit 'Use when...' clause listing concrete triggers, matching the score-3 anchor.

3 / 3

Trigger Term Quality

It offers relevant triggers ('beginning a new task, switching context', 'project history, past decisions, or coding conventions') but leans conceptual and omits natural phrasings a user would actually say (e.g. 'what do we know about X'), matching 'some relevant keywords but missing common variations'.

2 / 3

Distinctiveness Conflict Risk

The memory-injection niche with its specific trigger conditions ('project history, past decisions, or coding conventions') is clearly distinguishable and unlikely to fire for unrelated skills, matching the clear-niche anchor.

3 / 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
mem0ai/mem0
Reviewed

Table of Contents

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