OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeoYeAI/openclaw-master-skills --skill agent-takeovergit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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.
[](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-takeover)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-takeover"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-takeover/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-takeover"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-takeover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.05312 |
| Opus 5 | $0.00027 | $0.02656 |
| Sonnet 5 | $0.00011 | $0.01062 |
| Haiku 4.5 | $0.00005 | $0.00531 |
Grade A, and why
agent-takeover scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 539 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Takeover — Full Lifecycle Guide
How an external agent (OpenClaw plugin, custom script, or any WebSocket client) takes control of a live phone call, handles conversation turns directly, and hands back to the local LLM.
Architecture Overview
Caller <--> Phone App <--> Gateway /api/turn <--> Local LLM
|
+-- (takeover) --> Agent WS
Normal flow: phone sends audio to /api/turn, gateway runs ASR → LLM → TTS, returns audio.
Takeover flow: after takeover, gateway sends turn.request to the agent WebSocket instead of calling the local LLM. The agent replies with text, gateway runs TTS, returns audio to phone.
Endpoints Used
WebSocket (primary — full bidirectional control)
WS /api/agent/ws — No authentication required on the WebSocket itself. Connects, receives all bus events, and sends commands.
| Send (agent → gateway) | Fields | Description |
|---|---|---|
dial |
number |
Dial outbound call via ADB |
inject |
text, session_id |
Queue TTS message for next turn poll |
takeover |
session_id |
Take over LLM for this session |
release |
session_id |
Hand back to local LLM |
hangup |
session_id (optional) |
Force hang up call + end session |
get_call_state |
session_id |
Query conversation history and state |
end_session |
session_id |
Mark session ended without phone hangup |
inject_context |
session_id, context |
Push knowledge into LLM context |
clear_context |
session_id |
Remove injected knowledge |
ping |
— | Heartbeat |
| Receive (gateway → agent) | Fields | Description |
|---|---|---|
dial.ack |
ok, detail |
Dial result |
takeover.ack |
ok, session_id |
Takeover confirmed |
release.ack |
ok, session_id |
Release confirmed |
hangup.ack |
ok, detail, session_id |
Hangup result |
turn.request |
session_id, transcript, request_id |
Takeover only — caller spoke, agent must reply |
turn.started |
session_id |
Turn processing began |
turn.transcript |
transcript |
ASR result |
turn.reply |
reply |
LLM/agent reply text |
turn.complete |
metrics, transcript, reply, model |
Turn finished |
session.ended |
session_id |
Session ended (stale sweep, hangup, or explicit end) |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 539 lines · 54 tokens per session scan A 45c3c7391bda
agent-takeover is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 5,312 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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