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Firm Memory Audit Pack
by
romainsantoli-web
· GitHub ↗
· v1.0.0
304
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Install in OpenClaw
/install firm-memory-audit-pack
Description
Memory infrastructure audit pack. pgvector configuration validation and knowledge graph integrity check. 2 memory tools.
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
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.
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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install firm-memory-audit-pack - After installation, invoke the skill by name or use
/firm-memory-audit-pack - Provide required inputs per the skill's parameter spec and get structured output
Version History
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`.
Metadata
Frequently Asked Questions
What is Firm Memory Audit Pack?
Memory infrastructure audit pack. pgvector configuration validation and knowledge graph integrity check. 2 memory tools. It is an AI Agent Skill for Claude Code / OpenClaw, with 304 downloads so far.
How do I install Firm Memory Audit Pack?
Run "/install firm-memory-audit-pack" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Firm Memory Audit Pack free?
Yes, Firm Memory Audit Pack is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Firm Memory Audit Pack support?
Firm Memory Audit Pack is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Firm Memory Audit Pack?
It is built and maintained by romainsantoli-web (@romainsantoli-web); the current version is v1.0.0.
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