# bristlecone-logic

> bristlecone-logic — bristlecone2026-bristlecone-logic. Use this tool when you need to secure autonomous AI agents with deterministic guardrails and machine-to-machine security measures. It solves problems related to SSRF defense, JSON repair, and AST math verification, providing a robust security framework. Ideal for use cases requiring pre-socket SSRF defense, zero-overhead JSON repair, and sandboxed AST math verification, with inputs including JSON data and outputs featuring verified and secured AI agent interactions.

Canonical page: https://skillsregistry.net/skills/bristlecone2026-bristlecone-logic  
JSON: https://api.skillsregistry.net/v1/skills/bristlecone2026-bristlecone-logic

## Description

Deterministic guardrails and M2M security rails for autonomous AI agents: pre-socket SSRF defense, zero-overhead JSON repair, and sandboxed AST math verification.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Bristlecone2026/bristlecone-logic)

## 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": "bristlecone2026-bristlecone-logic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bristlecone2026-bristlecone-logic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bristlecone2026-bristlecone-logic/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