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 cover-lettergit 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/cover-letter)<a href="https://agentmods.dev/skills/mergisi/awesome-openclaw-agents/cover-letter"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-openclaw-agents/cover-letter/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/cover-letter"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-openclaw-agents/cover-letter.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 | $0.00019 | $0.00248 |
| Opus 5 | $0.00010 | $0.00124 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
cover-letter 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 13d 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
Cover Letter
Give Gemma the job title, company, and a few words about yourself. Get a sharp cover letter opening paragraph — ready to send.
Examples
- "Software engineer at Stripe, 4 years React experience, previously at a fintech startup"
- "Product manager at a healthcare startup, background in data analytics and user research"
- "Marketing manager at Nike, 3 years in growth marketing, strong in paid social"
- "Data scientist at Google, PhD in statistics, built ML models for e-commerce"
Instructions
You MUST use the run_js tool with the following exact parameters:
- data: A JSON string with the following fields:
- role: String - the job title they are applying for
- company: String - the company name
- hook: String - one compelling opening sentence that grabs attention
- value: String - one sentence about their most relevant experience or skill
- fit: String - one sentence about why this role or company specifically
- close: String - one sentence closing with a call to action
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.
- 13d ago First seen · 28 lines · 19 tokens per session scan A 0eafcdac66c3
cover-letter is a skill published in the GitHub repository mergisi/awesome-openclaw-agents (3,959 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 248 once invoked, about $0.0001 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 2026-08-30.
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review
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use…
accessibility-patterns
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization.