← Back to Skills Marketplace
romainsantoli-web

Firm Ecosystem Audit Pack

by romainsantoli-web · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
306
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install firm-ecosystem-audit-pack
Description
Ecosystem differentiation audit pack. MCP firewall, RAG pipeline, sandbox exec, context health, provenance tracking, cost analytics, and token budget optimiz...
README (SKILL.md)

firm-ecosystem-audit-pack

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

Purpose

Audits ecosystem differentiation features: MCP tool call firewall policies, RAG pipeline integrity, sandbox execution security, context window health, SHA-256 provenance tracking, cost analytics, and token budget optimization.

Tools (7)

Tool Description Severity
openclaw_mcp_firewall_check MCP tool call firewall policy validation HIGH
openclaw_rag_pipeline_check RAG pipeline integrity audit HIGH
openclaw_sandbox_exec_check Sandbox execution security HIGH
openclaw_context_health_check Context window health monitoring MEDIUM
openclaw_provenance_tracker SHA-256 append-only provenance chain MEDIUM
openclaw_cost_analytics Session cost analytics MEDIUM
openclaw_token_budget_optimizer Token budget optimization MEDIUM

Usage

skills:
  - firm-ecosystem-audit-pack

# Run ecosystem audit:
openclaw_mcp_firewall_check config_path=/path/to/config.json
openclaw_rag_pipeline_check config_path=/path/to/config.json
openclaw_cost_analytics session_data='{"model":"claude-4","tokens_in":1000}'

Requirements

  • mcp-openclaw-extensions >= 3.0.0
Usage Guidance
This skill is a manifest that calls seven platform audit tools provided by an external extension (mcp-openclaw-extensions >= 3.0.0). Before installing or running it: (1) Verify you have and trust the mcp-openclaw-extensions package (review its code or vendor/source). (2) Confirm what each openclaw_* tool does and what files/paths it will read or execute — the SKILL.md is terse and delegates behavior. (3) Be cautious when supplying config_path or session_data (they may contain secrets); only point to files you expect an audit to read. (4) If sandbox_exec or firewall-check tools can execute code or change policies, restrict their permissions or run in an isolated environment and perform a human review of results. If you cannot review the external extension or cannot trust its source, do not enable this skill.
Capability Analysis
Type: OpenClaw Skill Name: firm-ecosystem-audit-pack Version: 1.0.0 The skill bundle, consisting of `_meta.json` and `SKILL.md`, describes an 'Ecosystem differentiation audit pack' with tools for firewall policy validation, RAG pipeline integrity, sandbox execution security, and cost analytics. The `SKILL.md` file contains no prompt injection attempts, malicious instructions for the AI agent, or any code. The described tools and their usage (e.g., `config_path=/path/to/config.json`) align with legitimate auditing functions, requiring access to configuration or session data for their stated purpose. There is no evidence of intentional harmful behavior, data exfiltration, persistence mechanisms, or other malicious activities.
Capability Assessment
Purpose & Capability
The name/description (ecosystem audits: MCP firewall, RAG, sandbox, provenance, cost, token budget) matches the SKILL.md content. The SKILL.md declares a dependency on mcp-openclaw-extensions >= 3.0.0 which plausibly provides the listed openclaw_* audit tools.
Instruction Scope
SKILL.md is an instruction-only wrapper that expects seven platform tools (openclaw_*). It does not itself ask the agent to exfiltrate secrets, but usage examples show passing config_path and session_data — the skill assumes those tools will read files/inputs. The instructions are terse and leave execution detail to the external extension, so a human should verify exactly what each tool reads or runs (especially sandbox_exec and firewall checks).
Install Mechanism
No install spec or code files are included (lowest installer risk). The only declared requirement is mcp-openclaw-extensions >= 3.0.0 in SKILL.md metadata; the skill is effectively a manifest that delegates actual behavior to that extension.
Credentials
The skill requests no environment variables, credentials, or config paths itself. Example usage references a config_path provided by the user — reasonable for an audit tool, but the real access/control depends on the external extension's behavior.
Persistence & Privilege
always is false, agent invocation is permitted (platform default). The skill does not request persistent presence or modify other skills; no elevated persistence privileges are declared.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install firm-ecosystem-audit-pack
  3. After installation, invoke the skill by name or use /firm-ecosystem-audit-pack
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — 7 tools: MCP firewall, RAG, sandbox, context, provenance, cost, token
Metadata
Slug firm-ecosystem-audit-pack
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Firm Ecosystem Audit Pack?

Ecosystem differentiation audit pack. MCP firewall, RAG pipeline, sandbox exec, context health, provenance tracking, cost analytics, and token budget optimiz... It is an AI Agent Skill for Claude Code / OpenClaw, with 306 downloads so far.

How do I install Firm Ecosystem Audit Pack?

Run "/install firm-ecosystem-audit-pack" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Firm Ecosystem Audit Pack free?

Yes, Firm Ecosystem Audit Pack is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Firm Ecosystem Audit Pack support?

Firm Ecosystem Audit Pack is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Firm Ecosystem Audit Pack?

It is built and maintained by romainsantoli-web (@romainsantoli-web); the current version is v1.0.0.

💬 Comments