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 agentmods add skills/nirholas/three.ws/ai-agents-library-guidenpx skills add nirholas/three.ws --skill ai-agents-library-guidegit clone --depth 1 https://github.com/nirholas/three.wsWrote 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/nirholas/three.ws/ai-agents-library-guide)<a href="https://agentmods.dev/skills/nirholas/three.ws/ai-agents-library-guide"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/ai-agents-library-guide.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00065 | $0.01110 |
| Opus 5 | $0.00032 | $0.00555 |
| Sonnet 5 | $0.00013 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
ai-agents-library-guide 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 yesterday.
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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agents Library Guide
A curated collection of 300+ production-grade AI agent system prompts. Each prompt is battle-tested, optimized for frontier LLMs, and ready for import into SperaxOS or any agent framework.
Library Structure
AI-Agents-Library/
├── crypto/ # 60+ crypto/DeFi agents
├── trading/ # 40+ trading strategy agents
├── research/ # 30+ research/analysis agents
├── coding/ # 25+ software development agents
├── writing/ # 20+ content creation agents
├── defi/ # 35+ DeFi-specific agents
├── security/ # 15+ security audit agents
├── data/ # 20+ data analysis agents
├── social/ # 15+ social media agents
├── education/ # 20+ teaching/tutoring agents
├── productivity/ # 20+ workflow/GTD agents
└── niche/ # 30+ specialized agents
Prompt Format
Each agent follows a consistent structure:
# Agent Name
## Identity
You are [Agent Name], a specialized AI agent that...
## Capabilities
- Capability 1
- Capability 2
- ...
## Instructions
1. Always...
2. When asked about X, do Y...
3. Never...
## Knowledge Base
- Protocol docs
- API references
- Domain expertise
## Output Format
Structured response format with...
## Examples
<example>
User: ...
Agent: ...
</example>
Categories Deep Dive
Crypto Agents (60+)
| Agent | Specialty |
|---|---|
| DeFi Analyst | Protocol TVL, APY, risk analysis |
| Token Researcher | Tokenomics, team, roadmap evaluation |
| On-chain Detective | Wallet tracking, flow analysis |
| Whale Watcher | Large transaction monitoring |
| Airdrop Hunter | Eligibility checking, farming guides |
| Gas Optimizer | Transaction timing, gas strategies |
| NFT Valuator | NFT pricing, rarity, market trends |
| DAO Governance | Proposal analysis, voting recommendations |
| MEV Specialist | MEV explanation, protection strategies |
| Stablecoin Expert | USDs, USDC, DAI comparison and yield |
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.
- yesterday First seen · 150 lines · 65 tokens per session scan A 8a8aee37f41f
ai-agents-library-guide is a skill published in the GitHub repository nirholas/three.ws (110 stars, last pushed today), licensed Apache-2.0. It adds 65 tokens to every session and 1,110 once invoked, about $0.0003 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.
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