# shpbl-spec-action-ledger

> shpbl-spec-action-ledger — sweetkenneth-shpbl-spec-action-ledger. Use this tool when you need to create a verifiable record of autonomous agent actions, providing transparent and trustworthy evidence of their behavior. It solves problems related to accountability and auditing in autonomous systems, allowing for the tracking and verification of agent actions. The tool accepts action specifications as input and outputs a ledger of verifiable evidence, accessible via git.

Canonical page: https://skillsregistry.net/skills/sweetkenneth-shpbl-spec-action-ledger  
JSON: https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-spec-action-ledger

## Description

Specification only: verifiable evidence for autonomous-agent actions.

## Trust

- **Trust score (0–1):** 0.96
- **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-spec-action-ledger)

## 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-spec-action-ledger"
    }
  }
}
```

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