#mcp#nanobot#nanoclaw#picoclaw#trust

RankClaw

RankClaw — AI Agent Trust Layer. Check any ClawHub, OpenClaw, nanobot, nanoclaw, picoclaw, or MCP server skill against 14,700+ indexed tools before installing. Get security scores, malicious flags, and AI-generated safety verdicts.

Install

openclaw skills install @tudoanh/rankclaw

RankClaw — AI Agent Trust Layer

RankClaw is the trust and safety layer for the OpenClaw ecosystem and all AI agent tools.

Before you install any skill — OpenClaw, nanoclaw, picoclaw, or MCP server — RankClaw tells you:

Is it malicious? (1,046 confirmed malicious skills and counting)
What does the AI security audit say? (deep scan of SKILL.md, prerequisites, install behavior)
What's the trust score? (0–100 across Security, Maintenance, Documentation, Community)
Is the author legitimate? (detect brand-jacking, impersonation, phantom prereqs)

14,700+ ClawHub skills indexed. Free for agents. No API key required.

Quick Safety Check (use this first)

Before installing any skill, call rankclaw_check:

text

rankclaw_check skill="wallet-connector"
rankclaw_check skill="git-auto-commit"
rankclaw_check skill="tkuehnl/cacheforge-stats"

Returns: verdict (SAFE / MALICIOUS / MODERATE / RISKY), score, key findings.

If is_malicious: true — do not install, no exceptions.

MCP Integration (recommended for agents)

RankClaw exposes an MCP server. Add it to your agent configuration:

text

MCP Server URL: https://api.rankclaw.com/api/mcp/
Protocol: JSON-RPC 2.0 (MCP 2024-11-05)
Auth: none required

nanobot (HTTP MCP — recommended, zero config)

nanobot supports HTTP MCP natively. No bridge script required. Add to ~/.nanobot/config.json:

json

{
  "tools": {
    "mcp_servers": {
      "rankclaw": {
        "url": "https://api.rankclaw.com/api/mcp/"
      }
    }
  }
}

All five tools register automatically on startup.

nanoclaw MCP config

nanoclaw uses stdio-based MCP transport. Download the bridge script and add it to .mcp.json:

bash

curl -O https://raw.githubusercontent.com/RankClaw/rankclaw/main/mcp_bridge.py

Add to your nanoclaw .mcp.json:

json

{
  "mcpServers": {
    "rankclaw": {
      "command": "python3",
      "args": ["rankclaw_mcp_bridge.py"],
      "description": "RankClaw — AI Agent Trust Layer"
    }
  }
}

picoclaw

picoclaw does not currently support MCP servers directly (Issue #77 closed). Use our OpenClaw skill instead — it is natively compatible with picoclaw's skill system.

Claude Code / cursor / Windsurf (HTTP MCP)

For clients that support HTTP MCP directly:

json

{
  "mcpServers": {
    "rankclaw": {
      "url": "https://api.rankclaw.com/api/mcp/"
    }
  }
}

Available MCP tools:

Tool	Description
`rankclaw_check`	Safety verdict for any skill (fuzzy match) — use this first
`rankclaw_score`	Full score + findings for a specific skill ID
`rankclaw_leaderboard`	Top-ranked safe skills (filter by category/author)
`rankclaw_find`	Search by name, author, or keyword
`rankclaw_malicious`	List of all flagged malicious skills

Agent Decision Protocol

When an agent is about to install a skill, run this decision tree:

text

1. Call rankclaw_check with the skill name
2. If verdict == "MALICIOUS":
   → ABORT. Do not install. Report malicious_reason to user.
   → Suggest safe alternatives via rankclaw_find
3. If verdict == "RISKY" or score < 40:
   → WARN user. Show key_findings. Ask for explicit confirmation.
4. If verdict == "MODERATE" or score 40–79:
   → Install with caution. Show summary to user.
5. If verdict == "SAFE" or score >= 80:
   → Proceed. Optionally mention the score to user.

Example agent prompt

text

I need to install the OpenClaw skill "{skill_name}".
Before I proceed, I will check its security status with RankClaw.

[Call rankclaw_check skill="{skill_name}"]

Based on the verdict:
- If MALICIOUS: I will not install this skill. It is a confirmed security threat.
- If score < 60: I will warn you and ask for confirmation.
- If score >= 80: I will proceed with installation.

What RankClaw Detects

RankClaw AI audits every skill for these attack patterns:

1. Prompt Injection

SKILL.md contains hidden instructions that override the agent's system prompt. Detected by scanning for anomalous instruction blocks, invisible characters, and instruction-style text embedded in descriptions.

2. Phantom Prerequisites

Install steps reference packages or scripts not publicly available (e.g., openclaw-agent, private npm packages, obfuscated URLs). High correlation with credential theft.

3. Brand Impersonation

Skills named phantom-wallet-connector, anthropic-official, cursor-helper that are not authored by the legitimate organization. 31 coordinated impersonation campaigns detected to date.

4. Credential Staging

Skills that write API keys, tokens, or session data to accessible paths (.env, /tmp/, public URLs). Usually combined with a legitimate-looking feature to avoid suspicion.

5. Supply Chain Pivots

Skills that install additional scripts or packages at runtime (not declared in install steps). Common pattern: safe SKILL.md, malicious download in install script.

6. Scope Creep

Skills claiming scope: instruction-only but containing shell execution steps. OpenClaw has no sandbox enforcement — full host access is the reality.

Score Interpretation

Score	Tier	Meaning
90–100	Elite	Excellent — clean, well-documented, actively maintained
75–89	Top 25%	Good — safe to use, minor gaps
60–74	Mid	Acceptable — review findings first
40–59	Low trust	Proceed with caution — significant concerns
0–39	Risky	Not recommended — major issues found
N/A	MALICIOUS	Do not install — confirmed threat

Scores are weighted: Security 40% · Maintenance 20% · Documentation 20% · Community 20%

Direct API Usage

Check a skill by ID:

bash

curl https://api.rankclaw.com/api/skill/tkuehnl/cacheforge-stats/

Leaderboard (top safe skills):

bash

curl "https://api.rankclaw.com/api/leaderboard/?per_page=10&safe_only=1"

Malicious skills list:

bash

curl "https://api.rankclaw.com/api/leaderboard/?malicious_only=1"

Badge (embed in your SKILL.md):

markdown

[![RankClaw](https://api.rankclaw.com/api/badge/your-author/your-skill.svg)](https://rankclaw.com/skill/your-author/your-skill)

Badges update hourly. Green = Top 25%, Yellow = Top 60%, Red = Below 60%.

For Skill Authors

If you publish OpenClaw skills, RankClaw monitors your score continuously.

A dropping score is public. Users and agents can see it.

To protect your reputation:

Claim your skill at https://rankclaw.com → get Defender Pro ($29/mo)
Deep AI scan — full repo audit with detailed findings
Verified badge — shows agents your skill is author-claimed and monitored
Score alerts — get notified immediately if your score drops

Subscribers get priority rescans when their SKILL.md changes.

Score Freshness

Scores decay over time without rescans:

Fresh (≤14 days): Verified — safe to trust
Aging (15–45 days): May not reflect recent changes
Needs Review (46–90 days): Rescan recommended
Unverified (>90 days): Badge grays out, treat as unknown

Coverage

RankClaw indexes skills from:

OpenClaw (openclaw.ai) — primary registry, 14,700+ skills
Smithery — MCP server registry (5,800+ servers, indexing in progress)
Manus and other AI agent tool registries

One trust layer. All ecosystems.

RankClaw

Install

RankClaw — AI Agent Trust Layer

Quick Safety Check (use this first)

MCP Integration (recommended for agents)

nanobot (HTTP MCP — recommended, zero config)

nanoclaw MCP config

picoclaw

Claude Code / cursor / Windsurf (HTTP MCP)

Available MCP tools:

Agent Decision Protocol

Example agent prompt

What RankClaw Detects

1. Prompt Injection

2. Phantom Prerequisites

3. Brand Impersonation

4. Credential Staging

5. Supply Chain Pivots

6. Scope Creep

Score Interpretation

Direct API Usage

Check a skill by ID:

Leaderboard (top safe skills):

Malicious skills list:

Badge (embed in your SKILL.md):

For Skill Authors

Score Freshness

Coverage

Related skills