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reme-memory

Use ReMe as file-native long-term memory in Claude Code. RECALL — search ReMe before answering questions about past conversations, preferences, project history, or decisions.

76

Quality

95%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

An exemplar instruction-only skill: lean, highly actionable with concrete tool parameters, a clearly sequenced recall workflow with explicit error-handling checkpoints, and well-organized sections appropriate for a self-contained single-purpose skill with no bundle files.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — it names tools and parameters directly without explaining what memory, wikilinks, or BM25 are, and every section earns its place.

3 / 3

Actionability

Concrete, copy-paste-ready guidance throughout: specific tool names (search, traverse, daily_list, frontmatter_read, read) with exact parameters (query, limit=5, path, depth=1, direction=both, date) and the server start command and connection URL.

3 / 3

Workflow Clarity

The recall workflow is clearly sequenced (pick one of three independent modes, call the matching tool, read hits by path, cite paths) with explicit feedback checkpoints: "If nothing useful comes back, say so plainly" and the missing-tools error-recovery path.

3 / 3

Progressive Disclosure

A self-contained, under-50-line skill with no need for external references, organized into well-signaled sections (Recall, Server status, Workspace model), which meets the simple-skill bar for progressive disclosure.

3 / 3

Total

12

/

12

Passed

Description

90%

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 description that clearly states both what ReMe does and when to use it, with natural trigger terms and a distinct recall-only niche. Its only weakness is specificity, since it describes one recall action rather than enumerating multiple concrete capabilities.

DimensionReasoningScore

Specificity

Names the domain ("file-native long-term memory") and a concrete action ("search ReMe", "RECALL"), but centers on a single recall action rather than listing multiple specific concrete actions like the score-3 anchor.

2 / 3

Completeness

It states what the skill does ("Use ReMe as file-native long-term memory", "search ReMe") and gives explicit when guidance ("search ReMe before answering questions about..."), answering both what and when.

3 / 3

Trigger Term Quality

The phrase "before answering questions about past conversations, preferences, project history, or decisions" gives good coverage of natural terms users would actually say when they need this skill.

3 / 3

Distinctiveness Conflict Risk

The named tool "ReMe" plus the scoped recall-only niche and memory-specific triggers (past conversations, preferences, project history, decisions) form a clear niche unlikely to fire for unrelated skills.

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
agentscope-ai/ReMe
Reviewed

Table of Contents

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