agent-memory-mcp

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

Quality

52%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Critical

Do not install without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agent/skills/agent-memory-mcp/SKILL.md

Quality

Discovery

17%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description reads more like a product tagline than actionable skill guidance. It lacks concrete actions (what can Claude actually do with this?), natural trigger terms users would say, and critically missing any 'Use when...' guidance. The technical framing may confuse skill selection in a multi-skill environment.

Suggestions

Add a 'Use when...' clause with natural triggers like 'Use when the user wants to save, recall, or search for project knowledge, architectural decisions, or learned patterns'

Replace abstract language with concrete actions: 'Store architectural decisions, record learned patterns, search past knowledge, retrieve project context'

Include natural keywords users would say: 'remember this', 'what did we decide', 'save for later', 'look up', 'project history'

Dimension	Reasoning	Score
Specificity	Names the domain ('hybrid memory system', 'knowledge management') and mentions some capabilities ('persistent, searchable') but lacks concrete actions. The parenthetical '(Architecture, Patterns, Decisions)' hints at content types but doesn't describe what actions can be performed.	2 / 3
Completeness	Partially answers 'what' (knowledge management system) but completely missing 'when' - no 'Use when...' clause or explicit trigger guidance. Users cannot determine when this skill should be selected.	1 / 3
Trigger Term Quality	Uses technical jargon ('hybrid memory system', 'AI agents') that users wouldn't naturally say. Missing natural trigger terms like 'remember', 'store', 'recall', 'notes', 'save information', or 'look up'.	1 / 3
Distinctiveness Conflict Risk	The 'hybrid memory system' and 'AI agents' framing provides some distinctiveness, but 'knowledge management' is generic enough to potentially overlap with note-taking, documentation, or other storage-related skills.	2 / 3
	Total	6 / 12 Passed

Implementation

87%

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

This is a well-structured skill with excellent conciseness and actionability. The setup instructions are clear and executable, and the progressive disclosure to sub-skills is well-organized. The main weakness is the lack of validation steps to confirm successful setup (e.g., verifying the MCP server is running).

Suggestions

Add a validation step after 'Start the MCP Server' to verify the server is running correctly (e.g., expected output or a health check command)

Include brief troubleshooting guidance for common setup failures (e.g., port conflicts, missing Node.js version)

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient, providing only necessary setup steps and tool references without explaining concepts Claude already knows. No padding or unnecessary context.	3 / 3
Actionability	Provides fully executable bash commands for cloning, installing, compiling, and starting the server. Commands are copy-paste ready with clear examples including variable substitution.	3 / 3
Workflow Clarity	Setup steps are clearly sequenced (clone → install → compile → start), but lacks validation checkpoints. No verification that the server started successfully or troubleshooting guidance if steps fail.	2 / 3
Progressive Disclosure	Excellent structure with a concise overview and clear one-level-deep references to sub-skills for each MCP tool. Navigation is well-signaled with linked markdown files.	3 / 3
	Total	11 / 12 Passed

Validation

90%

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 — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: Dokhacgiakhoa/antigravity-ide
Commit: 3395991

Reviewed: 25 days ago

Table of Contents

Discovery Implementation Validation

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