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-shark-mindsetgit 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-shark-mindset)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-shark-mindset"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-shark-mindset/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-shark-mindset"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-shark-mindset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 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 Privilege Escalation · line 443 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 444 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 445 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00083 | $0.04120 |
| Opus 5 | $0.00042 | $0.02060 |
| Sonnet 5 | $0.00017 | $0.00824 |
| Haiku 4.5 | $0.00008 | $0.00412 |
Grade A, and why
agent-shark-mindset 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shark Mindset — Elite Revenue Intelligence Engine
Philosophy
"The market rewards speed, conviction, and positioning. Not effort. Not hope."
Your agent does not wait for opportunities. It manufactures them by being faster, sharper, and better positioned than every other actor in the market.
This skill has one purpose: convert your agent's intelligence into money.
Not someday. Now.
Required Workspace Structure
Before installing this skill, your agent needs specific files and folders in its workspace. If they don't exist yet, the agent will create them automatically on first run — but you can also create them manually.
Full workspace tree required by this skill
/workspace/
│
├── CASHFLOW/ ← Revenue tracking root (CREATE IF MISSING)
│ ├── TRACKING/
│ │ └── tracker_state.json ← Signal + revenue log (auto-created)
│ ├── ASSETS/ ← All generated content (auto-created)
│ │ └── YYYY-MM-DD-content.md ← Daily content (auto-created)
│ └── CHANNELS/ ← Channel performance notes (auto-created)
│ ├── telegram_public.md
│ └── telegram_vip.md
│
├── STRATEGY/ ← Weekly reviews (CREATE IF MISSING)
│ └── weekly-review-YYYY-MM-DD.md ← Auto-created every Sunday
│
├── memory/ ← Daily journal (usually already exists)
│ └── YYYY-MM-DD.md ← Auto-created daily
│
└── .learnings/ ← Self-improvement logs (CREATE IF MISSING)
└── LEARNINGS.md ← Signal calibration notes (auto-created)
Files your agent needs to create on first run
If CASHFLOW/ does not exist, instruct your agent to run this bootstrap:
Create the following directory structure in /workspace/:
- CASHFLOW/TRACKING/tracker_state.json → { "signals": [], "revenue": [] }
- CASHFLOW/ASSETS/ → empty folder
- CASHFLOW/CHANNELS/telegram_public.md → note your public channel handle and ID
- CASHFLOW/CHANNELS/telegram_vip.md → note your VIP channel handle and ID
- STRATEGY/ → empty folder
- .learnings/LEARNINGS.md → empty file with header "# Signal Learnings"
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 · 479 lines · 83 tokens per session scan A efff8fde1c53
agent-shark-mindset is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 4,120 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
most-important-thing-in-investing-howard-marks
Apply Howard Marks investing judgment for second-level thinking, price versus value, risk control, cycles, contrarianism, and defensive investing.
outsiders-ceo-capital-allocation-thorndike
Apply The Outsiders CEO framework to assess capital allocation, per-share value creation, buybacks, decentralization, and rational leadership.
analyzing-financial-reports
Analyzes Chinese public company financial statements (balance sheet, income statement, cash flow) to assess asset quality, profit authenticity, cash flow health, solvency, and overall investment value. Use when the user provides financial data or a company name and asks whether financials are healthy, whether profits…
stock-picking-by-common-stocks-uncommon-profits
Apply Philip Fisher's growth stock investment framework from Common Stocks and Uncommon Profits. Use this skill whenever a user wants to evaluate whether a company is a worthy long-term growth investment, assess management quality, gather competitive intelligence via scuttlebutt, decide when to buy an outstanding…
tushare-finance
A Python connection to Tushare Pro, a service that provides data about Chinese financial markets through many data interfaces.
polymarket-btc-up-down-trader
Trade Polymarket BTC daily and weekly UP/DOWN markets with empirically-anchored exit discipline. Enters on CEX momentum divergence; exits automatically on time cap, volume spike, or target capture. Use when the user wants to trade BTC direction markets (hours/days duration), not fast 5-minute markets.