algo

algo is a skill for Claude Code, Codex from tradecatlabs/tradecat-public. It costs 19 tokens per session (2,524 once invoked), scanned A, original, MIT.

Authenticated Binance API access for algorithmic futures orders. Algorithmic orders are instructions that execute a larger trade according to rules such as time or market volume, including TWAP, which spreads a trade over time, and VP, which follows trading volume.

In plain words
What is it for?
Use it to create, cancel, and review current, historical, and smaller sub-orders for Binance futures trading.
Why use it?
It removes the need to place, cancel, and inspect these managed orders manually. Requests require a Binance API key and secret key.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to create, cancel, and review current, historical, and smaller sub-orders for Binance futures trading.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tradecatlabs/tradecat-public/algo
Install

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.

Any agent
npx skills add tradecatlabs/tradecat-public --skill algo
Clone the repo
git clone --depth 1 https://github.com/tradecatlabs/tradecat-public

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for algo

README.md
[![agentmods](https://agentmods.dev/badge/skills/tradecatlabs/tradecat-public/algo/github.svg)](https://agentmods.dev/skills/tradecatlabs/tradecat-public/algo)
Your own site
<a href="https://agentmods.dev/skills/tradecatlabs/tradecat-public/algo"><img src="https://agentmods.dev/badge/skills/tradecatlabs/tradecat-public/algo/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.

agentmods 80×15 button for algo

Your own site · 80×15
<a href="https://agentmods.dev/skills/tradecatlabs/tradecat-public/algo"><img src="https://agentmods.dev/badge/skills/tradecatlabs/tradecat-public/algo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,524 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 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 102
    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 105
    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 106
    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 108
    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 111
    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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.02524
Opus 5 $0.00010 $0.01262
Sonnet 5 $0.00004 $0.00505
Haiku 4.5 $0.00002 $0.00252

Measured 11d ago against content hash eebd1b9769cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

algo 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 11d 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
resources/agent_market_context/binance/upstream/binance-skills-hub-main/skills/binance/algo/SKILL.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Binance Algo Skill

Algo request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format.

Quick Reference

Endpoint Description Required Optional Authentication
/sapi/v1/algo/futures/order (DELETE) Cancel Algo Order(TRADE) algoId recvWindow Yes
/sapi/v1/algo/futures/openOrders (GET) Query Current Algo Open Orders(USER_DATA) None recvWindow Yes
/sapi/v1/algo/futures/historicalOrders (GET) Query Historical Algo Orders(USER_DATA) None symbol, side, startTime, endTime, page, pageSize, recvWindow Yes
/sapi/v1/algo/futures/subOrders (GET) Query Sub Orders(USER_DATA) algoId page, pageSize, recvWindow Yes
/sapi/v1/algo/futures/newOrderTwap (POST) Time-Weighted Average Price(Twap) New Order(TRADE) symbol, side, quantity, duration positionSide, clientAlgoId, reduceOnly, limitPrice, recvWindow Yes
/sapi/v1/algo/futures/newOrderVp (POST) Volume Participation(VP) New Order (TRADE) symbol, side, quantity, urgency positionSide, clientAlgoId, reduceOnly, limitPrice, recvWindow Yes
/sapi/v1/algo/spot/order (DELETE) Cancel Algo Order(TRADE) algoId recvWindow Yes
/sapi/v1/algo/spot/openOrders (GET) Query Current Algo Open Orders(USER_DATA) None recvWindow Yes
/sapi/v1/algo/spot/historicalOrders (GET) Query Historical Algo Orders(USER_DATA) None symbol, side, startTime, endTime, page, pageSize, recvWindow Yes
/sapi/v1/algo/spot/subOrders (GET) Query Sub Orders(USER_DATA) algoId page, pageSize, recvWindow Yes
/sapi/v1/algo/spot/newOrderTwap (POST) Time-Weighted Average Price(Twap) New Order(TRADE) symbol, side, quantity, duration clientAlgoId, limitPrice Yes

Parameters

Common Parameters

  • algoId: eg. 14511 (e.g., 1)
  • recvWindow: (e.g., 5000)
  • symbol: Trading symbol eg. BTCUSDT (e.g., BTCUSDT)
  • side: BUY or SELL (e.g., BUY)
  • startTime: in milliseconds eg.1641522717552 (e.g., 1623319461670)
  • endTime: in milliseconds eg.1641522526562 (e.g., 1641782889000)
  • page: Default is 1 (e.g., 1)
  • pageSize: MIN 1, MAX 100; Default 100 (e.g., 100)
  • symbol: Trading symbol eg. BTCUSDT (e.g., BTCUSDT)
  • side: Trading side ( BUY or SELL ) (e.g., BUY)
  • positionSide: Default BOTH for One-way Mode ; LONG or SHORT for Hedge Mode. It must be sent in Hedge Mode. (e.g., BOTH)
  • quantity: Quantity of base asset; Maximum notional per order is 200k, 2mm or 10mm, depending on symbol. Please reduce your size if you order is above the maximum notional per order. (e.g., 1.0)
  • duration: Duration for TWAP orders in seconds. [300, 86400] (e.g., 5000)
  • clientAlgoId: A unique id among Algo orders (length should be 32 characters), If it is not sent, we will give default value (e.g., 1)
  • reduceOnly: "true" or "false". Default "false"; Cannot be sent in Hedge Mode; Cannot be sent when you open a position
  • limitPrice: Limit price of the order; If it is not sent, will place order by market price by default (e.g., 1.0)
  • urgency: Represent the relative speed of the current execution; ENUM: LOW, MEDIUM, HIGH (e.g., LOW)

Read the full file on GitHub · 233 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 233 lines · 19 tokens per session scan A eebd1b9769cd

Subscribe to this mod's changes

algo is a skill published in the GitHub repository tradecatlabs/tradecat-public (956 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 2,524 once invoked, about $0.0001 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 2026-08-30.

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