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 Vo1ganin/crypto-claude-skills --skill dexscreenergit clone --depth 1 https://github.com/Vo1ganin/crypto-claude-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/vo1ganin/crypto-claude-skills/dexscreener)<a href="https://agentmods.dev/skills/vo1ganin/crypto-claude-skills/dexscreener"><img src="https://agentmods.dev/badge/skills/vo1ganin/crypto-claude-skills/dexscreener/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/vo1ganin/crypto-claude-skills/dexscreener"><img src="https://agentmods.dev/badge/skills/vo1ganin/crypto-claude-skills/dexscreener.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00150 | $0.01377 |
| Opus 5 | $0.00075 | $0.00688 |
| Sonnet 5 | $0.00030 | $0.00275 |
| Haiku 4.5 | $0.00015 | $0.00138 |
Grade A, and why
dexscreener 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 12d 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.
- Plain `curl` or `httpx.get()` — no headers needed How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DexScreener Skill
Reference files:
references/endpoints.md— full endpoint list with rate limits per groupreferences/examples/— working Python scripts (batch token lookup, search, monitor)
🚨 Key facts (memorize)
- No auth, no key, no paid tier. Public API, free for everyone.
- No history. Only current state. For historical: use Dune or Bitquery.
- No WebSocket. Polling only. For real-time pump.fun: PumpPortal; for others: direct RPC.
- Search max 30 results, no pagination. Don't try to scroll past 30.
- Two rate tiers: 60 rpm (profiles/boosts/metas/orders) vs 300 rpm (
latest/dex/*). - Terms prohibit competing products and aggressive scraping. Fair analytical use is fine.
Base URL
https://api.dexscreener.com
When to use vs alternatives
| Need | Best tool |
|---|---|
| Quick current price, any token, any chain | DexScreener /tokens/v1/{chain}/{addr} |
| Discover trending memecoins | DexScreener /token-boosts/top/v1 + /token-profiles/latest/v1 |
| Batch price for 30 tokens | DexScreener /tokens/v1/{chain}/{addrs} (one call) |
| Full liquidity/volume for a pair | DexScreener /latest/dex/pairs/{chain}/{pair} |
| Historical price | dune-skill (prices.usd) or Birdeye |
| Real-time trade stream | pumpfun-skill (PumpPortal WS) or solana-rpc-skill (LaserStream) |
| Deep wallet analysis | solscan-skill or nansen-skill |
| NFT data | solana-rpc-skill (DAS API) |
Step-by-step workflow
1. Identify input
- User pastes token address →
/tokens/v1/{chain}/{address}or/latest/dex/search?q={address} - User mentions name/symbol →
/latest/dex/search?q={query}(max 30 results) - User asks for trending →
/token-boosts/top/v1or/metas/trending/v1 - User has pair/pool address →
/latest/dex/pairs/{chain}/{pair}
2. Detect chain
Chain IDs: solana, ethereum, base, bsc, polygon, arbitrum, optimism, avalanche, ton, sui, tron, hyperliquid, etc. If unknown, use /search first (it returns chainId in results).
What ships with it
5 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.
- 12d ago First seen · 134 lines · 150 tokens per session scan A c0c422c57c8d
dexscreener is a skill published in the GitHub repository Vo1ganin/crypto-claude-skills (2 stars, last pushed 22d ago), licensed MIT. It adds 150 tokens to every session and 1,377 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 2026-08-31.
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