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 ai-leaderboardgit 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/ai-leaderboard)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-leaderboard"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-leaderboard/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/ai-leaderboard"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-leaderboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 MCP Rug Pull · line 227 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Data Exfiltration · line 549 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 | $0.00149 | $0.05014 |
| Opus 5 | $0.00075 | $0.02507 |
| Sonnet 5 | $0.00030 | $0.01003 |
| Haiku 4.5 | $0.00015 | $0.00501 |
Grade A, and why
AI Rankings Leaderboard 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.
curl https://openrouter.ai/api/v1/chat/completions \ How it starts
The opening of the file, as written. The whole thing — 558 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Rankings Leaderboard Skill
Description
A comprehensive skill for querying AI model and application rankings from multiple authoritative sources. Get the latest insights on LLM performance, popularity, pricing, and value metrics.
Data Sources
| Source | URL | Focus |
|---|---|---|
| Artificial Analysis | https://artificialanalysis.ai/ | Intelligence Index, Speed, Price benchmarks |
| LLM Leaderboard | https://artificialanalysis.ai/leaderboards/models | Model comparison (100+ models) |
| LLM API Providers | https://artificialanalysis.ai/leaderboards/providers | API Provider comparison (500+ endpoints) |
| Image & Video Leaderboards | https://artificialanalysis.ai/ (Image & Video section) | Image/Video model ELO rankings |
| OpenRouter Rankings | https://openrouter.ai/rankings | Model usage & popularity |
| OpenRouter Apps | https://openrouter.ai/apps | AI applications ranking |
| OpenRouter Models | https://openrouter.ai/models | All available models with pricing |
| OpenRouter Free Models | https://openrouter.ai/models?q=free | Free models only |
| Pinchbench | https://pinchbench.com/ | Model benchmark (Success Rate, Speed, Cost, Value) |
Features
1. Artificial Analysis LLM Leaderboard
Intelligence Index (智力指数)
- Artificial Analysis Intelligence Index v4.0: Comprehensive model intelligence score
- 10 evaluation dimensions: Multiple independent assessment criteria
- Frontier Models: Top intelligence models (Gemini 3.1 Pro, GPT-5.4, Claude Opus 4.6, etc.)
- Reasoning Models: Identifies models with reasoning capabilities
Artificial Analysis Coding Index (编程能力指数)
- URL: https://artificialanalysis.ai/?intelligence=coding-index
- 评估模型在编程任务上的表现
- 综合多个代码评测基准
Artificial Analysis Agentic Index (智能体能力指数)
- URL: https://artificialanalysis.ai/?intelligence=agentic-index
- 评估模型的自主智能体能力
- 包括工具使用、多步骤推理、任务完成等
Performance Metrics
| Metric | Description |
|---|---|
| Intelligence Index | Overall model intelligence score (higher is better) |
| Speed | Output tokens per second (tokens/s) |
| Blended Price | Combined USD per million tokens (3:1 input/output ratio) |
| Input Price | Price per million input tokens (USD) |
| Output Price | Price per million output tokens (USD) |
| Latency (TTFT) | Time to First Token in seconds |
| Context Window | Maximum context length supported |
What ships with it
3 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.
- 9d ago First seen · 558 lines · 149 tokens per session scan A aec00f220013
AI Rankings Leaderboard is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session and 5,014 once invoked, about $0.0007 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
add-ollama-tool
Add Ollama MCP server so the container agent can call local models and optionally manage the Ollama model library.
graphify
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community…
nlp-alignment
Best practices for LLM alignment techniques including RLHF, DPO, and instruction tuning. Use when working on alignment or safety.
distributed-training
Multi-GPU and distributed training patterns with PyTorch DDP. Use when scaling training across GPUs.
data-loading
Optimize data loading pipeline to prevent GPU starvation. Use when setting up DataLoader or data preprocessing.
map
Build and commit a Cortex function knowledge graph — maps structural dependencies and domain intent relationships across all AI functions in the project. Supports --reduce (default on) for transitive reduction of the dependency graph.