CCXT is a software library that gives programs a common interface for accessing cryptocurrency exchanges and prediction markets. It is used by developers, traders, analysts, and data scientists for market-data analysis, automated trading, backtesting, and trading bots.
Borrowing it
Nothing to install: this file belongs to ccxt/ccxt. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ccxt/ccxt/master/.agents/skills/binance-tokenized-securities-info/SKILL.mdgit clone --depth 1 https://github.com/ccxt/ccxtWrote 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/ccxt/ccxt/binance-tokenized-securities-info)<a href="https://agentmods.dev/skills/ccxt/ccxt/binance-tokenized-securities-info"><img src="https://agentmods.dev/badge/skills/ccxt/ccxt/binance-tokenized-securities-info/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/ccxt/ccxt/binance-tokenized-securities-info"><img src="https://agentmods.dev/badge/skills/ccxt/ccxt/binance-tokenized-securities-info.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 8 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 Prompt Injection · line 85 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 196 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 200 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 201 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 205 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 206 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 198 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 199 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00216 | $0.06676 |
| Opus 5.5 | $0.00086 | $0.02670 |
| Sonnet 5.5 | $0.00043 | $0.01335 |
| Haiku 4.5 | $0.00022 | $0.00668 |
Grade A, and why
binance-tokenized-securities-info 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 1mo 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://www.binance.com/bapi/defi/v1/public/wallet-direct/buw/wallet/market/token/rwa/stock/detail/list/ai' \ Copies of this mod
1 near-identical copy found in the catalogue:
- binance-tokenized-securities-info — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 614 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Binance Tokenized Securities Info Skill
Overview
| API | Function | Use Case |
|---|---|---|
| Token Symbol List | List all tokenized stocks | Browse Ondo supported tickers, filter by type |
| RWA Meta | Tokenized stock metadata | Company info, concepts, attestation reports |
| Market Status | Overall market open/close | Check if Ondo market is currently trading |
| Asset Market Status | Per-asset trading status | Detect corporate actions (earnings, dividends, splits, mergers) |
| RWA Dynamic V2 | Full real-time data | On-chain price, holders, US stock fundamentals, order limits |
| Token K-Line | Candlestick charts | OHLC data for on-chain token price technical analysis |
Recommended Workflows
| Scenario | Steps |
|---|---|
| Look up a stock's fundamentals and on-chain data | API 1 (get chainId + contractAddress by ticker) → API 5 (dynamic data) |
| Check if a stock token is tradable | API 3 (overall market status) → API 4 (per-asset status with reason code) |
| Research a tokenized stock | API 1 (find token) → API 2 (company metadata + attestation reports) |
| Get K-Line chart data | API 1 (find token) → API 6 (K-Line with interval) |
Use Cases
- List Supported Stocks: Get all Ondo tokenized tickers with chain and contract info
- Company Research: Get company metadata, CEO, industry, concept tags, and attestation reports
- Market Status Check: Determine if the Ondo market is open, closed, or in pre/post-market session
- Corporate Action Detection: Check if a specific asset is paused or limited due to earnings, dividends, stock splits, mergers, or maintenance
- Real-Time Data: Get on-chain price, holder count, circulating supply, US stock P/E, dividend yield, 52-week range, and order limits
- Technical Analysis: Fetch token K-Line (candlestick) data with configurable intervals and time ranges
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.
- 1mo ago First seen · 614 lines · 216 tokens per session scan A 9331ea094a98
binance-tokenized-securities-info is a skill published in the GitHub repository ccxt/ccxt (44,604 stars, last pushed today), licensed MIT. It adds 216 tokens to every session and 6,676 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
market-sentiment
Synthesize crypto market sentiment by combining the Fear & Greed index, trending coins, narrative momentum, whale activity, and on-chain signals into a single actionable market read. Use when the user wants to know if the market is bullish, bearish, or transitioning. Powered by the free-crypto-news API.
coinank-openapi
Access CoinAnk crypto derivatives market data via API key or Agent Payments Protocol/x402 pay-per-call.
pump-swarm
Coordinated multi-wallet trading on Pump.fun.
trading-solana
Trade tokens on Solana DEXes - Jupiter, Raydium, Orca, Meteora, Pump.fun.
copy-trading
Automatically copy trades from successful wallets on Polymarket and crypto.
trading-evm
Trade tokens on EVM chains - Uniswap V3, 1inch on Ethereum, Arbitrum, Optimism, Base, Polygon.