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agent-memory-mcp

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

56

Quality

64%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

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tessl review fix ./skills/agent-memory-mcp/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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.

The body is an efficiently structured, executable setup guide with a clear approval-gated workflow for a critical-risk community install, with only minor gaps in post-install validation and content splitting.

DimensionReasoningScore

Conciseness

The body is mostly lean with executable commands and no over-explanation of MCP or memory concepts; minor trimming possible in the redundant opening line and the generic 'When to Use' boilerplate.

4 / 5

Actionability

Setup provides copy-paste ready commands (pinned git clone, npm ci, npm run compile, start-server with a $(pwd) example) and tool args are listed, though per-tool usage examples are one-liners rather than full snippets.

4 / 5

Workflow Clarity

The review -> inspect -> approval -> install -> start sequence is clear with an explicit user-approval checkpoint before install, satisfying the validation requirement for a critical-risk operation; it lacks a post-install verify/error-recovery loop so it stops short of 5.

4 / 5

Progressive Disclosure

Well-organized into clear sections (Prerequisites, Setup, Capabilities, Dashboard, Limitations) with no nested references and easy navigation; the capabilities/dashboard blocks could be split into separate files, keeping it just below 5.

4 / 5

Total

16

/

20

Passed

Description

53%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.

The description states the what clearly and carves a recognizable niche, but omits any explicit when-to-use trigger guidance and relies on generic rather than natural user phrasing.

Suggestions

Add a 'Use when...' clause with concrete trigger phrases such as 'Use when the user asks to remember a decision, save an architecture pattern, or search past project knowledge'.

Replace generic terms with the natural phrasing users actually say (e.g. 'remember', 'save this decision', 'what did we decide') to improve trigger-term coverage.

Enumerate concrete actions (read, write, search, sync) in the description rather than only naming the domain.

DimensionReasoningScore

Specificity

Names the domain (knowledge management) and 1-2 concrete capabilities ('persistent, searchable') plus content categories (Architecture, Patterns, Decisions), but does not enumerate the concrete actions like read/write/search/sync.

3 / 5

Completeness

There is a clear 'what' (persistent, searchable knowledge management for AI agents) but no 'when'/'Use when' clause, which the rubric caps at 3.

3 / 5

Trigger Term Quality

Relevant keywords like 'memory' and 'knowledge management' appear, but the natural phrases a user would actually say ('remember this', 'save this decision', 'what did we decide') are absent.

3 / 5

Distinctiveness Conflict Risk

'Hybrid memory system for AI agents (Architecture, Patterns, Decisions)' carves out a specific niche with only minor overlap risk against generic note/documentation skills.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

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