# Attestor

> Use this tool when you need to securely store and retrieve shared knowledge for agent teams, enabling features like bi-temporal replay and deterministic retrieval. It solves problems related to data integrity, auditing, and collaboration, providing a reliable memory for agents to access and build upon. Ideal for use cases requiring transparent and tamper-evident data management, with inputs including agent interactions and outputs comprising retrieved knowledge and audit logs.

Canonical page: https://skillsregistry.net/skills/io-github-bolnet-attestor  
JSON: https://api.skillsregistry.net/v1/skills/io-github-bolnet-attestor

## Description

Self-hosted memory for agent teams. Bi-temporal replay, deterministic retrieval, audit log.

## Trust

- **Trust score (0–1):** 0.03
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 4.0.0a3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.bolnet%2Fattestor)
- **Repository:** <https://github.com/bolnet/attestor>

## 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": "io-github-bolnet-attestor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-bolnet-attestor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-bolnet-attestor/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