stats

Displays memory usage statistics for the current session and project including counts by category, age distribution, and API latency. Use when checking how many memories exist, reviewing session activity, or auditing memory distribution across categories.

Quality

82%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

83%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 well-structured, highly actionable skill body with concrete commands, filter objects, and a literal output template. It loses a point on workflow clarity only for the missing verification step on the destructive digest overwrite, and is otherwise tight and navigable.

Dimension	Reasoning	Score
Conciseness	Mostly lean and instructional with minimal concept padding, though the weekly digest section and display rules add some length that could be tightened slightly.	4 / 5
Actionability	Provides copy-paste-ready bash, concrete MCP filter objects, exact top_k/page_size values, and a literal dashboard template covering the common cases.	5 / 5
Workflow Clarity	Clear step sequencing (Step 1-3 plus W1-W5) with an error-handling note for empty stats, but the weekly write-to-file step lacks an explicit validation/verification checkpoint before overwriting the digest.	4 / 5
Progressive Disclosure	Well-organized into clear sections with no bundle files to reference; the single SKILL.md holds all content at one level with good internal structure, minor gaps only.	4 / 5
	Total	17 / 20 Passed

Description

81%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 clear, third-person description with explicit 'Use when' triggers and concrete capability framing. It scores well on completeness and distinctiveness, with minor room for richer action coverage and synonym triggers.

Dimension	Reasoning	Score
Specificity	Names concrete actions ('Displays memory usage statistics', 'counts by category, age distribution, and API latency') with good specificity, though the action set is fairly limited compared to a multi-action anchor.	4 / 5
Completeness	Explicitly answers what ('Displays memory usage statistics...') and when ('Use when checking how many memories exist, reviewing session activity, or auditing memory distribution across categories').	5 / 5
Trigger Term Quality	Includes natural phrases users would say ('checking how many memories exist', 'reviewing session activity', 'auditing memory distribution') but misses common synonyms and the file/extension-style terms a 5 would require.	4 / 5
Distinctiveness Conflict Risk	Targets a clear niche (memory statistics) with distinct triggers, with only minor overlap risk against other memory-management skills.	4 / 5
	Total	17 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: mem0ai/mem0
Path: integrations/mem0-plugin/skills/stats/SKILL.md
Commit: 39bc023

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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