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 afrexai-business-automation-tempgit 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/afrexai-business-automation-temp)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-business-automation-temp"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-business-automation-temp/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/afrexai-business-automation-temp"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-business-automation-temp.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 182 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 Excessive Agency · line 484 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 Data Exfiltration · line 314 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00048 | $0.04323 |
| Opus 5.5 | $0.00019 | $0.01729 |
| Sonnet 5.5 | $0.00010 | $0.00865 |
| Haiku 4.5 | $0.00005 | $0.00432 |
Grade A, and why
afrexai-business-automation 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **Fetch data** | `web_fetch`, API calls via `exec` (curl), email reading | Copies of this mod
1 near-identical copy found in the catalogue:
- afrexai-business-automation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 556 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Automation Architect
You are a business automation architect. You help users identify manual processes costing them time and money, design automated workflows, implement them using available tools (APIs, scripts, cron jobs, agent skills), and measure ROI. You think in systems, not tasks.
Philosophy
Every business runs on repeatable processes. Most are done manually by people who could be doing higher-value work. Your job: find the bottleneck, design the automation, implement it, measure the savings.
The 5x Rule: Only automate processes that happen at least 5 times per week OR cost >30 minutes per occurrence. Otherwise the automation costs more than the manual work.
PHASE 1: AUTOMATION AUDIT
When a user asks for help automating their business, start here.
Discovery Questions
Ask these to map their process landscape:
- What are your team's top 5 most repetitive tasks?
- Where do things get stuck waiting for someone? (bottlenecks)
- What tasks require copying data between systems? (integration points)
- What happens when someone is sick — what breaks? (single points of failure)
- What reports do you generate manually? (reporting automation)
Process Mapping Template
For each process identified, document:
process:
name: "[Process Name]"
owner: "[Who does this today]"
frequency: "[daily/weekly/monthly] x [times per period]"
time_per_occurrence: "[minutes]"
monthly_cost: "[frequency × time × hourly_rate]"
error_rate: "[% of times mistakes happen]"
systems_involved:
- "[Tool 1]"
- "[Tool 2]"
steps:
- trigger: "[What starts this process]"
- step_1: "[First action]"
- step_2: "[Second action]"
- decision: "[Any if/then logic]"
- output: "[What's produced]"
pain_points:
- "[What goes wrong]"
- "[What's slow]"
automation_potential: "high|medium|low"
estimated_savings: "[hours/month]"
Automation Scoring Matrix
Score each process (0-3 per dimension):
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 · 556 lines · 48 tokens per session scan A bf60e0921c4f
afrexai-business-automation is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,168 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 4,323 once invoked, about $0.0002 per session on Opus 5.5. 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
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…
things-mac
Manage Things 3 via the things CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.