# shpbl-retrieval-auditor

> shpbl-retrieval-auditor — sweetkenneth-shpbl-retrieval-auditor. Use this tool when you need to audit and analyze the provenance of retrieval contexts in agent retrieval supply chains. It solves problems related to influence attribution, lineage, and advisory source trust, providing insights into retrieval drift and ensuring reliable information exchange. The tool accepts retrieval context data as input and outputs detailed audits and reports, making it ideal for applications requiring transparent and trustworthy information retrieval.

Canonical page: https://skillsregistry.net/skills/sweetkenneth-shpbl-retrieval-auditor  
JSON: https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-retrieval-auditor

## Description

Retrieval Context Provenance Auditor — MIT reference implementation of the public SHPBL behaviour specification. Influence attribution, lineage, advisory source trust and retrieval drift for agent retrieval supply chains. Zero runtime dependencies.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SweetKenneth/shpbl-retrieval-auditor)

## 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": "sweetkenneth-shpbl-retrieval-auditor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-retrieval-auditor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-retrieval-auditor/pull`

---
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