Agent skill

Clawd Control

by Temaki-AI in Temaki-AI/clawd-control

Monitor and manage your Clawdbot agent fleet from within an agent.

MITAuto-check passedSecurity

Install Clawd Control

skills CLI
$ npx skills add Temaki-AI/clawd-control --skill clawd-control -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Temaki-AI/clawd-control clawd-control --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Temaki-AI/clawd-control.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/clawd-control .claude/skills/clawd-control && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clawd-control
GitHub stars
115
Token cost
~1.2k tokens
SKILL.md length
335 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Monitor and manage your Clawdbot agent fleet from within an agent.

  • Actions via the Clawd Control dashboard API
  • SKILL.md covers Prerequisites, Authentication, API Reference and Usage Patterns, plus 1 more section
  • Calls curl

What it does

Clawd Control is an agent skill from Temaki-AI/clawd-control. Monitor and manage your Clawdbot agent fleet from within an agent. Query health, sessions, usage, and trigger actions via the Clawd Control dashboard API.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security. The repository describes itself as: 🏰 Real-time dashboard for monitoring and managing Clawdbot AI agents. The licence is MIT.

When your agent uses it

  • Actions via the Clawd Control dashboard API

Example prompts

  • “/clawd-control”

What it can do on your machine

Read from SKILL.md and the folder at commit 0ed74f5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Clawd Control loads about 1.2k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Temaki-AI/clawd-control at commit 0ed74f5, republished under its MIT licence (© Temaki-AI). 335 words, ~1,167 tokens.

Download SKILL.mdSave it as .claude/skills/clawd-control/SKILL.md (or your agent's skills folder).
name
clawd-control
description
Monitor and manage your Clawdbot agent fleet from within an agent. Query health, sessions, usage, and trigger actions via the Clawd Control dashboard API.
version
1.0.0
author
temaki
tags
dashboard, monitoring, fleet, management, multi-agent
requires
web_fetch

Clawd Control — Agent Skill

Monitor and manage your Clawdbot agent fleet through the Clawd Control dashboard API. This skill lets agents check fleet health, inspect sessions, trigger heartbeats, and manage other agents — all programmatically.

Prerequisites

  • Clawd Control server running and accessible (default: http://<host>:3100)
  • Auth credentials: password from auth.json in the Clawd Control directory
  • Full server: github.com/temaki-ai/clawd-control

Authentication

All API calls require a session cookie. Obtain one first:

bash
curl -s -c cookies.txt http://<HOST>:3100/api/login \
  -H "Content-Type: application/json" \
  -d '{"password": "<PASSWORD>"}'

Or use the Authorization: Bearer <session_token> header.

For agents with web_fetch, you can use the session cookie approach or pass the token as a header.

API Reference

Fleet Overview

GET /api/snapshot Returns the full fleet state: all agents + host metrics in a single call.

Response shape:

json
{
  "ts": 1706000000000,
  "agents": {
    "gandalf": {
      "id": "gandalf",
      "name": "Gandalf",
      "emoji": "🧙",
      "online": true,
      "lastSeen": 1706000000000,
      "health": { "agents": [...], "uptime": 3600 },
      "sessions": { "sessions": [...] },
      "usage": { "totalCost": 12.50, "shared": true },
      "heartbeat": { "ts": 1706000000000 },
      "channels": { "channels": { "telegram": { "running": true } } },
      "cron": { "jobs": [...] }
    }
  },
  "host": {
    "hostname": "darth-maul",
    "loadAvg": [0.5, 0.3, 0.2],
    "memory": { "total": 16000000000, "used": 8000000000, "available": 8000000000 },
    "disk": { "total": 219000000000, "used": 24000000000 },
    "uptime": 86400
  }
}
Individual Agent State

GET /api/agents/:id Returns live state for a specific agent.

Agent Detail (workspace files + live state)

GET /api/agents/:id/detail Returns everything about an agent: config, workspace files (SOUL.md, MEMORY.md, TASKS.md, etc.), skills list, memory files, recent daily notes, and live state.

Agent Actions

POST /api/agents/:id/action

Body: { "action": "<action_name>" }

Available actions:

ActionDescription
heartbeat-enableEnable heartbeat polling
heartbeat-disableDisable heartbeat polling
heartbeat-triggerTrigger an immediate heartbeat
session-newArchive current main session, start fresh
session-resetDelete ALL sessions (nuclear — creates backup)
Create Agent

POST /api/create-agent

Body:

json
{
  "name": "Merry",
  "emoji": "🌿",
  "soul": "Loyal, practical, action-oriented.",
  "model": "anthropic/claude-sonnet-4-5",
  "telegramToken": "123456:ABC-DEF..."
}

Returns step-by-step creation log and result.

Host Metrics

GET /api/host Returns current host machine metrics (CPU load, RAM, disk, uptime).

SSE Live Stream

GET /api/stream Server-Sent Events stream. Emits:

  • snapshot — full state on connect
  • agent — individual agent updates (includes removed: true when agent is deleted)
  • host — host metrics updates
Security Audit

GET /api/security-audit Runs security checks: secrets management, credential exposure, network/ports, system security, gateway config, account inventory.

Usage Patterns

Check if all agents are healthy
Fetch /api/snapshot, iterate agents, check each has online: true.
Flag any with online: false or stale lastSeen (> 5 min).
Monitor costs
Fetch /api/snapshot, sum usage.totalCost across agents.
Note: usage is shared per gateway, so avoid double-counting agents on the same gateway.
Trigger a heartbeat for a specific agent
POST /api/agents/gandalf/action with body {"action": "heartbeat-trigger"}
Reset a stuck agent
POST /api/agents/pippin/action with body {"action": "session-new"}
This archives the current session and starts fresh.

Notes

  • The server binds to a specific IP by default (not 0.0.0.0) for security. Ensure your agent can reach it.
  • Session tokens are in-memory and expire after sessionTtlHours (default: 24h).
  • The SSE stream reconnects automatically on disconnect (client-side).
  • Agent state is polled every 15s by default (configurable in agents.json).

© Temaki-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/clawd-control of Temaki-AI/clawd-control.

Open the folder on GitHubat commit 0ed74f5

Compare with similar skills

Clawd Control next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Clawd Control this skillTemaki-AI/clawd-control115—~1.2kAutomated safety check: PassMIT
Fla Ascend Performancefla-org/flash-linear-attention5.8k—~6.3kAutomated safety check: PassMIT
Deepsec Documentation Guidevercel-labs/deepsec8.1k—~956Automated safety check: PassApache-2.0
Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4811 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0

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Categories

Questions about Clawd Control

What does Clawd Control do?

Monitor and manage your Clawdbot agent fleet from within an agent. Clawd Control is an agent skill from Temaki-AI/clawd-control. Monitor and manage your Clawdbot agent fleet from within an agent.

When should I use Clawd Control?

Clawd Control fits situations like: actions via the Clawd Control dashboard API.

How do I install Clawd Control in Claude Code?

Run `npx skills add Temaki-AI/clawd-control --skill clawd-control -a claude-code`. Or copy the skill folder (skills/clawd-control in Temaki-AI/clawd-control) into .claude/skills/clawd-control in your project. Claude Code loads it when a task matches its description.

How do I install Clawd Control in Codex?

Run `npx skills add Temaki-AI/clawd-control --skill clawd-control -a codex`. Or copy the skill folder (skills/clawd-control in Temaki-AI/clawd-control) into .agents/skills/clawd-control in your project. Codex loads it when a task matches its description.

Can I use Clawd Control in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Temaki-AI/clawd-control --skill clawd-control -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clawd-control, .gemini/skills/clawd-control, .github/skills/clawd-control and .opencode/skills/clawd-control in your project.

What does Clawd Control need to run?

Going by SKILL.md and its folder, Clawd Control needs the command-line tools its instructions call (curl).

Does Clawd Control access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Clawd Control safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clawd Control use?

Clawd Control is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clawd Control use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Clawd Control?

Skills that share tags, products or a category with Clawd Control: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clawd Control?

Temaki-AI (a GitHub organization) maintains it in Temaki-AI/clawd-control, which has 115 GitHub stars. The repository was last updated on February 28, 2026.

Source: Temaki-AI/clawd-control on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.