DashClaw: Skill for Claude Code

.claude/skills/dashclaw-agent/register-on-dashclaw/SKILL.md

register-on-dashclaw is a skill for Claude Code from ucsandman/DashClaw. It costs 25 tokens per session (1,386 once invoked), scanned A, original, MIT.

A setup guide for registering an AI agent with DashClaw, including its identity, capabilities, and online status.

In plain words
What is it for?
Use it to register an agent through the API or SDK and configure one-time or automatic heartbeats that report its status.
Why use it?
Registration lets DashClaw recognise the agent and monitor whether it is active while applying governance controls.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

This is ucsandman/DashClaw's own configuration. It tells Claude Code how to work on DashClaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything DashClaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ucsandman/DashClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ucsandman/DashClaw/main/.claude/skills/dashclaw-agent/register-on-dashclaw/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ucsandman/DashClaw

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for register-on-dashclaw

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsandman/dashclaw/register-on-dashclaw.svg)](https://agentmods.dev/skills/ucsandman/dashclaw/register-on-dashclaw)
Your own site
<a href="https://agentmods.dev/skills/ucsandman/dashclaw/register-on-dashclaw"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw/register-on-dashclaw.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,386 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 20
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.01386
Opus 5 $0.00013 $0.00693
Sonnet 5 $0.00005 $0.00277
Haiku 4.5 $0.00003 $0.00139

Measured 8d ago against content hash c36b8c4147f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

register-on-dashclaw scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "$DASHCLAW_BASE_URL/api/agents" \
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/dashclaw-agent/register-on-dashclaw/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Register on DashClaw

Register any AI agent as a governed entity on a DashClaw instance. This includes the meta act of registering this very agent on DashClaw.

Register an Agent

Via API

curl -X POST "$DASHCLAW_BASE_URL/api/agents" \
  -H "x-api-key: $DASHCLAW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id": "my-agent",
    "agent_name": "My Agent",
    "description": "What this agent does",
    "capabilities": ["deploy", "api_call", "file_write"]
  }'

Via SDK

import { DashClaw } from 'dashclaw';

const claw = new DashClaw({
  baseUrl: process.env.DASHCLAW_BASE_URL,
  apiKey: process.env.DASHCLAW_API_KEY,
  agentId: 'my-agent'
});

// Agent is auto-registered on first guard call or action creation
// Explicit registration is optional but recommended for metadata

Set Up Heartbeat

Heartbeats let DashClaw know your agent is alive. Missing heartbeats trigger the "Agent Silent" signal (>10 min).

// Single heartbeat
await claw.heartbeat({ status: 'online', metadata: { version: '1.0.0' } });

// Auto-heartbeat (v1 SDK)
import { DashClaw } from 'dashclaw/legacy';
const claw = new DashClaw({ baseUrl, apiKey, agentId: 'my-agent' });
claw.startHeartbeat({ interval: 60000 }); // Every 60 seconds

// Stop when shutting down
claw.stopHeartbeat();
# Python
claw.heartbeat(status="online", metadata={"version": "1.0.0"})

Configure Agent-Specific Policies

Scope guard policies to a specific agent:

curl -X POST "$DASHCLAW_BASE_URL/api/policies" \
  -H "x-api-key: $DASHCLAW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "my-agent-deploy-gate",
    "agent_id": "my-agent",
    "type": "approval_gate",
    "mode": "enforce",
    "conditions": {
      "action_types": ["deploy"],
      "risk_score_min": 50
    },
    "action": "require_approval",
    "reason": "All deploys by my-agent require approval"
  }'

Agent Identity & Signatures

For production, register your agent's public key for action signing:

Read the full file on GitHub · 184 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 184 lines · 25 tokens per session scan A c36b8c4147f2

Subscribe to this mod's changes

register-on-dashclaw is a skill published in the GitHub repository ucsandman/DashClaw (297 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,386 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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