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 nirholas/three.ws --skill token-discovery-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/token-discovery-guide)<a href="https://agentmods.dev/skills/nirholas/three.ws/token-discovery-guide"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/token-discovery-guide.svg" alt="Measured on agentmods" 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 | $0.00054 | $0.01907 |
| Opus 5 | $0.00027 | $0.00954 |
| Sonnet 5 | $0.00011 | $0.00381 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
token-discovery-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 4d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token Discovery & Evaluation Guide
Finding new tokens early can be profitable, but most new tokens are scams or worthless. This guide teaches systematic evaluation to separate signal from noise.
Discovery Sources
On-Chain Discovery
| Source | What It Shows | Best For |
|---|---|---|
| DexScreener | New pairs, price charts, volume, liquidity | Finding trending tokens across 80+ chains |
| DEXTools | New pairs, hot tokens, real-time trading | Similar to DexScreener with different UX |
| Uniswap Analytics | Top pools by volume/TVL | Blue-chip DeFi tokens |
| Defined.fi | Multi-chain token analytics | Cross-chain discovery |
Aggregator Discovery
| Source | What It Shows | Best For |
|---|---|---|
| CoinGecko Trending | Top trending tokens by search volume | Finding retail interest |
| DeFi Llama | Protocols ranked by TVL, new protocol launches | DeFi token discovery |
| CoinMarketCap New | Newly listed tokens | CEX-listed tokens |
| CryptoPanic | News mentions of tokens | narrative-driven discovery |
Social Discovery
| Source | Signal Quality | Warning |
|---|---|---|
| Crypto Twitter (CT) | Variable — can be great or terrible | Heavy shilling; verify independently |
| Reddit (r/CryptoCurrency) | Community-filtered | Echo chamber risk |
| Discord/Telegram | Alpha leaks from protocol communities | 90%+ is noise or scams |
| Governance forums | High quality (protocol-specific) | Slower but more reliable |
The Evaluation Framework
Step 1: Quick Scan (30 seconds)
Check these immediately — most scams fail here:
| Check | How | Red Flag |
|---|---|---|
| Liquidity | DexScreener/DEXTools | <$50K total liquidity |
| Contract verified | Etherscan/Arbiscan | Unverified contract code |
| Age | When was liquidity added? | <24 hours old |
| Holder count | Etherscan token page | <100 holders |
| LP locked | Check if LP tokens are locked/burned | LP not locked |
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.
- 4d ago First seen · 176 lines · 54 tokens per session scan A c8535f2358dc
token-discovery-guide is a skill published in the GitHub repository nirholas/three.ws (111 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 1,907 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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