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-avengersgit 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-avengers)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-avengers"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-avengers/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-avengers"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-avengers.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 | $0.00097 | $0.06198 |
| Opus 5 | $0.00048 | $0.03099 |
| Sonnet 5 | $0.00019 | $0.01240 |
| Haiku 4.5 | $0.00010 | $0.00620 |
Grade A, and why
agent-avengers 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 — 832 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🦸 Agent Avengers
"어벤저스, 어셈블!" — 복잡한 태스크를 자동으로 에이전트 팀이 처리
핵심 기능
- 자동 태스크 분해 — 큰 작업을 독립적 서브태스크로 분할
- 동적 에이전트 생성 — 각 태스크에 맞는 전문 에이전트 즉석 생성
- 병렬 실행 — 독립 태스크는 동시 처리
- 자동 통합 — 결과 수집, 검증, 병합
- 완료 후 정리 — 임시 에이전트 자동 해제
사용법
기본 사용
사용자: "어벤저스 어셈블! [복잡한 태스크 설명]"
예시
"어벤저스 어셈블! 경쟁사 A, B, C 분석해서 비교 리포트 만들어줘"
→ 자동으로:
1. 태스크 분해 (3개 리서치 + 1개 통합)
2. 에이전트 3개 스폰 (각 회사 담당)
3. 병렬 리서치 실행
4. 결과 통합 에이전트가 최종 리포트 생성
5. 완료 보고
워크플로우
┌─────────────────────────────────────────────────────────────────┐
│ 🦸 AVENGERS ASSEMBLE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1️⃣ ANALYZE — 태스크 분석 및 분해 │
│ └─ 목표 파악 → 서브태스크 도출 → 의존성 매핑 │
│ │
│ 2️⃣ RECRUIT — 에이전트 팀 구성 │
│ └─ 각 서브태스크에 최적 에이전트 프로필 생성 │
│ └─ 에이전트 역할: 🔬연구 🖊️작성 🔍분석 ✅검토 🔧통합 │
│ │
│ 3️⃣ DEPLOY — 에이전트 스폰 및 태스크 할당 │
│ └─ sessions_spawn으로 병렬 실행 │
│ └─ 각 에이전트에 명확한 입력/출력 지정 │
│ │
│ 4️⃣ MONITOR — 진행 상황 추적 │
│ └─ 완료 대기, 실패 시 재시도 또는 대체 │
│ │
│ 5️⃣ ASSEMBLE — 결과 통합 │
│ └─ 모든 산출물 수집 → 검증 → 병합 │
│ │
│ 6️⃣ REPORT — 최종 보고 및 정리 │
│ └─ 사용자에게 결과 전달, 임시 리소스 정리 │
│ │
└─────────────────────────────────────────────────────────────────┘
What ships with it
15 files 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.
- _meta.json 283 B
- ANNOUNCEMENT.md 1.7 KB
- examples/app-development.json 1.3 KB
- examples/competitor-analysis.json 1.1 KB
- package.json 653 B
- pytest.ini 125 B
- README-kr.md 1.0 KB
- README.md 2.7 KB
- scripts/assemble.py 10 KB runs code
- scripts/consolidate.py 6.4 KB runs code
- scripts/execute.py 6.5 KB runs code
- scripts/monitor.py 6.3 KB runs code
- tests/__init__.py 23 B runs code
- tests/test_assemble.py 7.8 KB runs code
- tests/test_consolidate.py 6.4 KB runs code
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 · 832 lines · 97 tokens per session scan A d6a3f5abd327
agent-avengers is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 6,198 once invoked, about $0.0005 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.
Other skills, from other repositories
welcome
Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.
add-teams
Add Microsoft Teams channel integration via Chat SDK.
meeting-note-summarizer
Turn meeting notes or transcripts into factual summaries, decisions, questions, and action items. Use when a user wants a concise recap or needs explicit owners and deadlines extracted without filling in missing details.
wellbeing
Proactive coaching across hydration, breaks, meals, posture and environmental comfort (with the environment skill). Use when an [activity] event fires (message starts with [activity] Activity detected: activity labels. — labels include drink, break, celebrate, the fatigue label "yawning", or sedentary raw labels like…
wisdom-forget
Remove a must-keep CocoWisdom entry with rationale. Usage: $wisdom forget --id --rationale " ".
03_task2
Extracts action items and pending tasks from Slack messages. Use when: reviewing unread messages for todos, finding deadlines or requests directed at the user, or producing a task summary from recent Slack activity.