awesome-openclaw-agents is a curated collection of ready-to-use SOUL.md configurations that define AI agents for tasks across areas such as development, marketing, finance, support, and automation. It is for OpenClaw users who want predefined agent roles and workflows to adapt or deploy. The catalogue entries are agent-related skills drawn 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 mergisi/awesome-openclaw-agents --skill meeting-notesgit clone --depth 1 https://github.com/mergisi/awesome-openclaw-agentsWrote 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/mergisi/awesome-openclaw-agents/meeting-notes)<a href="https://agentmods.dev/skills/mergisi/awesome-openclaw-agents/meeting-notes"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-openclaw-agents/meeting-notes/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/mergisi/awesome-openclaw-agents/meeting-notes"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-openclaw-agents/meeting-notes.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 | $0.00020 | $0.00367 |
| Opus 5.5 | $0.00008 | $0.00147 |
| Sonnet 5.5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
meeting-notes 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 1mo 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.
What it actually says
Meeting Notes
Turn messy meeting notes into a structured summary. Decisions, action items, and next steps — all extracted automatically.
Examples
- "john said we should push the launch to next friday. sarah will handle the email campaign. budget approved at 5k. need to check with legal about the contract."
- "discussed q2 roadmap. feature x gets priority. mike owns backend. lisa does design by end of month. still unclear on pricing."
- "standup: blocked on api keys. will unblock tomorrow. demo moved to thursday."
Instructions
You MUST use the run_js tool with the following exact parameters:
- data: A JSON string with the following fields:
- title: String - a short title for this meeting (3-5 words)
- summary: String - one sentence describing what the meeting was about
- decision1: String - first key decision made, or empty string
- decision2: String - second key decision made, or empty string
- action1_who: String - name or role of person responsible for first action item
- action1_what: String - what they need to do
- action2_who: String - name or role for second action item, or empty string
- action2_what: String - what they need to do, or empty string
- action3_who: String - name or role for third action item, or empty string
- action3_what: String - what they need to do, or empty string
- next_step: String - the single most important next step overall
What ships with it
2 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.
- 1mo ago First seen · 32 lines · 20 tokens per session scan A 01d555bf7214
meeting-notes is a skill published in the GitHub repository mergisi/awesome-openclaw-agents (4,027 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 367 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
activity-record
Query and orchestrate Arkloop Activity Record local activity data. Covers browser history, search terms, screen time, bluetooth, shell commands, window focus, keyboard, mouse, clipboard, screen content (accessibility tree), microphone audio transcription, and Codex sessions.
adhd-daily-planner
Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
meeting-summarizer
Transforms raw meeting notes, transcripts, or recordings text into a concise, scannable summary with clear sections for decisions made and owned action items (owner + due date). Use this skill when the user asks to "summarize this meeting", "turn these notes into a summary", "extract action items", "who agreed to…
habit-builder
Designs a realistic, evidence-based plan to build a new habit or break a bad one — using cue-routine-reward loops, habit stacking, environment design, tiny starting steps, and relapse-proof tracking. Use this skill when a user asks to "help me build a habit", "stop a bad habit", "be more consistent", "create a…
apple-notes
Manage Apple Notes via memo CLI: create, search, edit.
keybindings-help
Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify /.claude/keybindings.json. Examples: "rebind ctrl+s", "add a chord shortcut", "change the submit key", "customize keybindings".