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-council-skipgit 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-council-skip)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-council-skip"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-council-skip/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-council-skip"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-council-skip.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 8 findings, up to high
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 →
- high Prompt Injection · line 301 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
- high Prompt Injection · line 433 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
- high Prompt Injection · line 513 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
- high Memory Poisoning · line 680 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Rogue Agent · line 70 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 Rogue Agent · line 318 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 Rogue Agent · line 70 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.
- low Privilege Escalation · line 699 Skill requests more permissions than appear necessary for its stated functionality. Review if elevated access is justified.Fix: Request only the minimum permissions required. Document why each permission is needed. Remove broad permissions like '*' or 'all'.
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 | $0.00039 | $0.04353 |
| Opus 5.5 | $0.00016 | $0.01741 |
| Sonnet 5.5 | $0.00008 | $0.00871 |
| Haiku 4.5 | $0.00004 | $0.00435 |
Grade A, and why
agent-council 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-council — 91% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 715 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Council
Complete toolkit for creating and managing autonomous AI agents with Discord integration for OpenClaw.
What This Skill Does
Agent Creation:
- Creates autonomous AI agents with self-contained workspaces
- Generates SOUL.md (personality & responsibilities)
- Generates HEARTBEAT.md (cron execution logic)
- Sets up memory system (hybrid architecture)
- Configures gateway automatically
- Binds agents to Discord channels (optional)
- Sets up daily memory cron jobs (optional)
Discord Channel Management:
- Creates Discord channels via API
- Configures OpenClaw gateway allowlists
- Sets channel-specific system prompts
- Renames channels and updates references
- Optional workspace file search
Installation
# Install from ClawHub
clawhub install agent-council
# Or manual install
cp -r . ~/.openclaw/skills/agent-council/
openclaw gateway config.patch --raw '{
"skills": {
"entries": {
"agent-council": {"enabled": true}
}
}
}'
Part 1: Agent Creation
Quick Start
scripts/create-agent.sh \
--name "Watson" \
--id "watson" \
--emoji "🔬" \
--specialty "Research and analysis specialist" \
--model "anthropic/claude-opus-4-5" \
--workspace "$HOME/agents/watson" \
--discord-channel "1234567890"
Workflow
1. Gather Requirements
Ask the user:
- Agent name (e.g., "Watson")
- Agent ID (lowercase, hyphenated, e.g., "watson")
- Emoji (e.g., "🔬")
- Specialty (what the agent does)
- Model (which LLM to use)
- Workspace (where to create agent files)
- Discord channel ID (optional)
2. Run Creation Script
scripts/create-agent.sh \
--name "Agent Name" \
--id "agent-id" \
--emoji "🤖" \
--specialty "What this agent does" \
--model "provider/model-name" \
--workspace "/path/to/workspace" \
--discord-channel "1234567890" # Optional
The script automatically:
- ✅ Creates workspace with memory subdirectory
- ✅ Generates SOUL.md and HEARTBEAT.md
- ✅ Updates gateway config (preserves existing agents)
- ✅ Adds Discord channel binding (if specified)
- ✅ Restarts gateway to apply changes
- ✅ Prompts for daily memory cron setup
What ships with it
5 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.
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.
- yesterday Changed 70358f1bc9ac
- 1mo ago First seen · 715 lines · 39 tokens per session scan A 00a245f7cd05
agent-council is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,168 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 4,353 once invoked, about $0.0002 per session on Opus 5.5. 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
cc-skill-project-guidelines-example
Project Guidelines Skill (Example).
artifact-yylo
Capture and retrieve durable YYLO Ledger artifact Records with intentional profiles, payload modes, provenance, retention, and secret-safe immutable evidence.
task-tracker
A task-list workflow that stores tasks in a Markdown file, a plain-text file format commonly used for checklists.
lark-workflow-meeting-summary
A workflow for collecting Feishu meeting notes from a chosen time range and turning them into a structured report. Feishu meeting notes are records created from workplace meetings.
gogopowermanager
Orchestrates and ships a milestone, release, issue set, or multi-workstream engineering goal through one manager and bounded parallel workers. Use when the user asks to manage a milestone, build a dependency graph, execute independent issues in parallel, coordinate threads, sessions, subagents, or worktrees, recover a…
topydo
Manages todo.txt tasks using topydo CLI. Adds, lists, completes, prioritizes, tags, and organizes tasks with dependencies, due dates, recurrence, and projects. Use for any task management, todo lists, or when the user mentions tasks, todos, or todo.txt. Requires Python 3 and pip. Works on macOS, Linux, and Windows.