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Firm Memory Audit Pack

Name: Firm Memory Audit Pack
Author: romainsantoli-web

作者 romainsantoli-web · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

304

总下载

当前安装

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在 OpenClaw 中安装

/install firm-memory-audit-pack

功能描述

Memory infrastructure audit pack. pgvector configuration validation and knowledge graph integrity check. 2 memory tools.

使用说明 (SKILL.md)

firm-memory-audit-pack

⚠️ Contenu généré par IA — validation humaine requise avant utilisation.

Purpose

Audits memory infrastructure: validates pgvector extension configuration (dimensions, index type, distance metric) and knowledge graph integrity (node connectivity, orphan detection, cycle detection).

Tools (2)

Tool	Description
`openclaw_pgvector_memory_check`	pgvector config validation (dimensions, index, distance)
`openclaw_knowledge_graph_check`	Knowledge graph integrity audit

Usage

skills:
  - firm-memory-audit-pack

# Audit memory infrastructure:
openclaw_pgvector_memory_check config_path=/path/to/config.json
openclaw_knowledge_graph_check config_path=/path/to/config.json

Requirements

mcp-openclaw-extensions >= 3.0.0

安全使用建议

This instruction-only skill appears consistent with its purpose but depends on the external mcp-openclaw-extensions implementation and a user-supplied config.json. Before installing or running: 1) Verify the source and integrity of mcp-openclaw-extensions (ensure it’s a trusted provider/version). 2) Inspect any config.json you pass to these tools — it may contain database credentials or endpoints; do not point to production configs unless you’ve reviewed and sanitized them. 3) Prefer running the checks in a test environment or with least-privilege credentials. If you need higher confidence, ask the skill author for the extension repository or code for the two tools so you can audit what they do with the config file and any network connections they make.

功能分析

Type: OpenClaw Skill Name: firm-memory-audit-pack Version: 1.0.0 The skill bundle defines a 'firm-memory-audit-pack' designed to audit pgvector configuration and knowledge graph integrity. The `_meta.json` contains standard metadata, and `SKILL.md` provides a clear description, purpose, and usage instructions for two audit tools. There is no evidence of prompt injection against the AI agent, data exfiltration, malicious execution, persistence mechanisms, or obfuscation. The declared dependency (`mcp-openclaw-extensions`) is standard and not inherently malicious within this context. All content aligns with the stated benign purpose of an infrastructure audit.

能力评估

✓ Purpose & Capability

Name, description, and declared dependency (mcp-openclaw-extensions >= 3.0.0) align with the stated purpose of running pgvector and knowledge-graph audits. The two tool names map logically to the described checks.

ℹ Instruction Scope

SKILL.md only shows invoking two tools with a config_path argument; it does not request unrelated files or environment variables. However, the tools are expected to read the provided config.json (which may contain database credentials or endpoints) — the skill does not describe how sensitive data in that config is handled or validated.

✓ Install Mechanism

No install spec or code files are included; this is an instruction-only skill relying on the mcp-openclaw-extensions bundle. Nothing is downloaded or written by the skill itself.

ℹ Credentials

The skill declares no environment variables or credentials, which is proportionate. Be aware that the external tools invoked will likely require connection details (DB host, user, password, etc.) supplied in the config_path file; those credentials live outside the skill and should be reviewed by the user before use.

✓ Persistence & Privilege

The skill does not request always:true, does not persist configuration, and does not claim to modify other skills or global agent settings. Normal autonomous invocation is allowed (platform default).

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install firm-memory-audit-pack
安装完成后，直接呼叫该 Skill 的名称或使用 /firm-memory-audit-pack 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of the firm-memory-audit-pack skill. - Provides tools to audit memory infrastructure, specifically pgvector configuration and knowledge graph integrity. - Includes two tools: `openclaw_pgvector_memory_check` and `openclaw_knowledge_graph_check`. - Validates pgvector extension settings (dimensions, index type, distance metric). - Audits knowledge graph for node connectivity, orphan detection, and cycle detection. - Requires `mcp-openclaw-extensions >= 3.0.0`.

元数据

Slug firm-memory-audit-pack

版本 1.0.0

许可证 —

累计安装 1

当前安装数 1

历史版本数 1

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