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export

Exports all project memories to a portable Markdown file for backup or migration. Use when backing up memories, migrating to another project, sharing memory state with teammates, or archiving before cleanup.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

87%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.

A tight, highly actionable single-file skill with concrete code and templates. Its main gap is the absence of an explicit verification checkpoint for a batch export, which keeps workflow clarity at 2.

Suggestions

Add a verification step after the write (e.g., confirm the file exists and that the number of blocks written equals the number of memories fetched) to turn the batch export into a validate-loop workflow.

Specify what to do on partial pagination failure (e.g., mid-sequence error) so the error-handling section covers the batch path, not just the empty/error and write-failure cases.

Clarify the pagination loop exit condition explicitly (e.g., 'stop when a page returns fewer than page_size results and no next cursor') rather than leaving it implicit.

DimensionReasoningScore

Conciseness

The body is lean and efficient, providing only operational detail (exact filters, format templates, filename pattern) without explaining concepts Claude already knows, matching the top anchor.

3 / 3

Actionability

It gives a concrete get_memories call with exact filters, an exact YAML-frontmatter block template, a precise output filename pattern, and copy-paste-ready summary text, matching the fully-executable anchor.

3 / 3

Workflow Clarity

The five steps are clearly sequenced with error handling, but this batch operation (exporting all memories) lacks an explicit validation/verification checkpoint confirming the count reconciles or the file was written correctly, which caps the score at 2 per the rubric's batch-operation guideline.

2 / 3

Progressive Disclosure

It is a single, well-organized SKILL.md with clear sections (Execution steps, Error Handling) and no nested external references, which is appropriate for a self-contained single-purpose skill.

3 / 3

Total

11

/

12

Passed

Description

90%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.

A well-crafted description that answers what and when explicitly with natural trigger terms and a distinct niche. Its only weakness is specificity, since it describes a single core action rather than enumerating multiple concrete capabilities.

DimensionReasoningScore

Specificity

The description states a single concrete action ('Exports all project memories to a portable Markdown file') rather than listing multiple specific actions, matching the 'names domain and some actions, but not comprehensive' anchor.

2 / 3

Completeness

It clearly answers both what ('Exports all project memories to a portable Markdown file for backup or migration') and when via an explicit 'Use when...' clause with multiple triggers, matching the top anchor.

3 / 3

Trigger Term Quality

'Use when backing up memories, migrating to another project, sharing memory state with teammates, or archiving before cleanup' covers natural phrases users would actually say, matching the good-coverage anchor.

3 / 3

Distinctiveness Conflict Risk

The memory-export niche is specific with distinct triggers unlikely to overlap with other skills, matching the clear-niche anchor.

3 / 3

Total

11

/

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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