Skill audit report

Memsearch audit report.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit

Audit

Trust

100

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

2.0K GitHub stars

Recent maintenance

PASS

100

Pushed today

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency risk

INFO

command execution surface

Install availability

PASS

npx skills add zilliztech/memsearch

Repository evidence

PASS

https://github.com/zilliztech/memsearch

Review status

PASS

AI review data available

Checks

Install and adoption review

7 passed · 1 review

Install path

PASS

npx skills add zilliztech/memsearch

Repository

PASS

https://github.com/zilliztech/memsearch

License

PASS

MIT

Maintenance

100

PASS

Pushed today

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface

Adoption

PASS

2.0K GitHub stars

Warnings

No major warnings detected from available metadata.

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add zilliztech/memsearch

Signals

Audit score: 96/100
Quality: 100/100
Trust: 93/100
Maintenance: Pushed today
Events: 4 events
GitHub stars: 2.0K
Last push: Jun 15, 2026

Agent safety v2

68/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

High-risk permission hints: Shell or command execution
68/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

High-risk permission hints: Shell or command execution

Back to skill Alternatives Audit badge SVG

Compare nearby options

Related skills to audit next

Generative AI For Beginners

21 Lessons, Get Started Building with Generative AI

112K stars · Audit report

Elasticsearch

Free and Open Source, Distributed, RESTful Search Engine

77K stars · Audit report

Graphify

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

67K stars · Audit report