AI Worker worker.md

DashClaw

🛡️ The approval and policy layer for AI agents. Intercept risky actions before they run, block them, or approve them remotely.

Tool registry 293 stars TypeScript MIT Worker-compatible

Source#

Tags#

agent-frameworkagent-governanceagent-runtimeai-agentsai-governanceai-infrastructure

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: dashclaw-repo-derived-worker
name: DashClaw Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/dashclaw/
source_repository: https://github.com/ucsandman/DashClaw
repository_default_branch: main
repository_language: TypeScript
repository_license: MIT
repository_updated_at: 2026-08-15
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-08-16
tags:
  - agent-framework
  - agent-governance
  - agent-runtime
  - ai-agents
  - ai-governance
  - ai-infrastructure
---

# DashClaw Repo-Derived Worker

## Repo-derived summary
- Registry summary: 🛡️ The approval and policy layer for AI agents. Intercept risky actions before they run, block them, or approve them remotely.
- Repository description: 🛡️ The approval and policy layer for AI agents. Intercept risky actions before they run, block them, or approve them remotely.
- Stars (snapshot): 293
- Primary language: TypeScript
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/ucsandman/DashClaw
- https://github.com/ucsandman/DashClaw/blob/main/README.md
- https://www.dashclaw.io/llms.txt
- https://hosted.dashclaw.io/connect
- https://www.dashclaw.io/guides/openclaw

## Evidence notes (from repository text)
- README summary paragraph: When your AI coding agent tries something destructive, DashClaw catches it before it runs and asks you first, even when you are not at the keyboard.
- When your AI coding agent tries something destructive, DashClaw catches it before it runs and asks you first, even when you are not at the keyboard.
- Run agents unattended without giving them unconditional authority.
- An agent tries a destructive tool call. DashClaw freezes it before it runs, routes it to the Approvals inbox, and writes a replayable decision record when you resolve it.
- - **Fail-closed intercept.** A blocked tool call never runs. The hook cancels it before execution (exit 2 at the seam).
- - **Multi-runtime.** Claude Code, Codex, Hermes, OpenClaw, MCP, Node and Python SDKs, plain REST.

## Installation hints found in README
- `pip install dashclaw` (Python 3.7+). The **39-method canonical Node surface** covers guard, record, assumptions, approvals, durable-execution finality, security scanning, sessions and the action graph, pairing, risk signals, policy simulation, plan authorization, delegation constraints, containment verdicts, and team tasks. The **Python SDK exposes 59 methods**, plus CrewAI and AutoGen integrations.`
- `npm install dashclaw` (Node 18+) or `pip install dashclaw` (Python 3.7+). The **39-method canonical Node surface** covers guard, record, assumptions, approvals, durable-execution finality, security scanning, sessions and the action graph, pairing, risk signals, policy simulation, plan authorization, delegation constraints, containment verdicts, and team tasks. The **Python SDK exposes 59 methods**, plus CrewAI and AutoGen integrations.`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

  • Save this as a worker spec file (for example: dashclaw-my-task.worker.md).
  • Replace the input/output schemas and purpose with your real bounded task.
  • Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/dashclaw/

Source URL: https://github.com/ucsandman/DashClaw