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-prompt-patternsgit 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-prompt-patterns)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-prompt-patterns"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-prompt-patterns/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-prompt-patterns"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-prompt-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Excessive Agency · line 264 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 278 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 446 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00068 | $0.06423 |
| Opus 5 | $0.00034 | $0.03211 |
| Sonnet 5 | $0.00014 | $0.01285 |
| Haiku 4.5 | $0.00007 | $0.00642 |
Grade A, and why
agent-prompt-patterns 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- [ ] Health check returns 200 — verified by: curl to /health within 60s How it starts
The opening of the file, as written. The whole thing — 775 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Prompt Patterns
Battle-tested patterns for agents that ship, not agents that demo. If your agent works in a live-fire notebook but breaks in production, you have a demo, not an agent.
When to Use
- Designing a new agent's behavioral rules and operating manual
- An agent is hallucinating completions, skipping steps, or claiming work it didn't do
- Building multi-agent pipelines where output quality compounds (or collapses)
- Setting up human-in-the-loop approval tiers for different risk levels
- Enforcing reliability in automated workflows (cron jobs, scheduled tasks, pipelines)
- Writing AGENTS.md or operating manuals for production agent workspaces
- Debugging why an agent keeps violating rules you've already stated
- Evaluating whether an agent should exist at all (deletion test)
- Building harnesses that make autonomy safe and useful
When NOT to Use
- One-shot prompts with no agent persistence — these patterns assume continuity
- Pure chatbot / conversational UX with no action-taking capability
- Academic prompt engineering research — these are production patterns, not benchmarks
- Agents with no filesystem, no tool access, and no side effects — nothing to harness
- You're still in the "make it work at all" phase — get basic functionality first, then harden
1. Consumer-First Design
Principle: Every agent output must have a named consumer. If nobody uses the output, the agent shouldn't exist.
This is the most important pattern because it kills bloat before it starts. Agents proliferate. Each one feels useful when you build it. Six months later you have 14 agents and can't remember what half of them do.
The Deletion Test
Ask: If I delete this agent, which other agent's work breaks?
If the answer is "nothing" or "I'm not sure," the agent is a vanity project.
# Agent Registry (in AGENTS.md)
## daily-digest
- **Consumers:** Sam (morning briefing), weekly-report agent (aggregation)
- **Deletion impact:** Sam loses morning summary, weekly-report loses daily inputs
- **Verdict:** KEEP
## inbox-sorter
- **Consumers:** None identified
- **Deletion impact:** Unknown
- **Verdict:** CANDIDATE FOR REMOVAL — validate or kill within 7 days
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 · 775 lines · 68 tokens per session scan A ab364312b14f
agent-prompt-patterns is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 6,423 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
comfyui-skill-openclaw
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openclaw-auto-dream
Cognitive memory architecture for OpenClaw agents — periodic dream cycles that consolidate daily logs into structured long-term memory with importance scoring, insights, and push notifications. Use when: user asks for 'auto memory', 'dream', 'auto-dream', 'memory consolidation', 'memory dashboard'. Powered by…
openclaw-ultra-scraping
Powerful web scraping, crawling, and data extraction with stealth anti-bot bypass. Bypasses anti-bot systems (Cloudflare Turnstile, CAPTCHAs) out of the box. Use when: (1) scraping websites that block normal requests, (2) extracting structured data from web pages, (3) crawling multiple pages with concurrency, (4)…
myclaw-backup
Backup and restore all OpenClaw configuration, agent memory, skills, and workspace data. Part of the MyClaw.ai (https://myclaw.ai) open skills ecosystem — the AI personal assistant platform that gives every user a full server with complete code control. Use when the user wants to create a snapshot of their OpenClaw…
agentsec
Audit AI agent skills for security vulnerabilities. Use when scanning installed skills against the OWASP Agentic Skills Top 10, checking skills before running them, gating CI/CD on skill safety, or generating audit reports (text, JSON, SARIF, HTML) for stakeholders.
create-teammate
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Use when: user wants to capture a colleague's knowledge before they leave, create an AI version of a teammate, distill tribal knowledge into a reusable skill, or says…