# AgentLedger AI Dossier

> AgentLedger AI Dossier — shamanah-agentledger-ai-dossier. Use this tool when you need to assess DeFi risks associated with a Base wallet, vet potential counterparties for MEV and arbitrage bots, or require pre-trade risk evaluation. The AgentLedger AI Dossier provides a 3-bullet risk report, utilizing x402 queries at $0.10 USDC per query, to inform smart investment decisions. Ideal for use cases involving high-stakes trades, bot interactions, or wallet security assessments.

Canonical page: https://skillsregistry.net/skills/shamanah-agentledger-ai-dossier  
JSON: https://api.skillsregistry.net/v1/skills/shamanah-agentledger-ai-dossier

## Description

AI-synthesized 3-bullet DeFi risk dossier for any Base wallet. Pre-trade counterparty vetting for MEV and arbitrage bots via x402 ($0.10 USDC per query).

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kliedxdr85)
- **Repository:** <https://github.com/Shamanah/agentledger-ai-dossier>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shamanah-agentledger-ai-dossier"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shamanah-agentledger-ai-dossier` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shamanah-agentledger-ai-dossier/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt