Agent skill

Quotient

by BankrBot in BankrBot/skills

Prediction-market intelligence for Polymarket agents. An agent skill from BankrBot/skills.

No licenceAuto-check passedData & Analytics

Install Quotient

skills CLI
$ npx skills add BankrBot/skills --skill quotient -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install BankrBot/skills quotient --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/quotient .claude/skills/quotient && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
quotient
GitHub stars
1.2k
Token cost
~5.7k tokens
SKILL.md length
2,392 words
Files
15 (incl. scripts, references)
Skills in repo
106
Repo updated
First seen
Licence
None found

At a glance

Prediction-market intelligence for Polymarket agents. An agent skill from BankrBot/skills.

  • Works in 6 steps: Preview first. With no autopay policy on… → One batched approval per user request.… → First-time pre-authorization offer.… → …
  • : quotient signals
  • SKILL.md covers Base URL & Discovery, How Q Works, Key Concepts and Access Model, plus 10 more sections
  • Runs Shell and JavaScript scripts from its folder; reaches quotient-api-gateway.onrender.com; needs BANKR_API_KEY

What it does

Quotient is an agent skill from BankrBot/skills. Prediction-market intelligence for Polymarket agents. Quotient runs a multi-role AI forecasting pipeline over 1,600+ sources and publishes daily trade signals with side, entry prices, conviction tiers, capacity, and convergence reads. Pull forecasts (with what-changed deltas), recent sources (articles + X posts), the featured signal, the daily WTI crude oil read, and per-wallet portfolio intelligence; execute via Bankr. Pays via x402 in USDC on Base or USDG on Robinhood Chain. Triggers on: "quotient signals"…

Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `catalog.json`, `references/api-reference.md` and `references/bankr-x402-flow.md`).

It sits in Data & Analytics, covering Forecasting and time series. It works with Polymarket, x402 and Circle USDC. The repository describes itself as: Bankr Skills equip builders with plug-and-play tools to build more powerful agents.

When your agent uses it

  • : quotient signals
  • Featured signal
  • Whats new with my portfolio
  • Mispriced markets

Example prompts

  • “quotient signals”
  • “trade signals”
  • “featured signal”
  • “/quotient”

Requirements

  • Node.js
  • A Bash shell
  • A credential in BANKR_API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Preview first. With no autopay policy on disk, any command that would pay prints
  2. One batched approval per user request. Relay the preview's costs and ask once,
  3. First-time pre-authorization offer. While no policy exists, also offer once
  4. Approve. On user approval, re-run the identical command with --approve
  5. Autopay = standing approval within caps. With a policy present, runs that fit
  6. Trade execution is gated separately. signal-strategy.mjs --execute only writes

What it can do on your machine

Read from SKILL.md and the folder at commit dc47eed. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 5 files in scripts/ (Shell and JavaScript), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • quotient-api-gateway.onrender.com

    Also links to:

    • quotient.social

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • BANKR_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Quotient loads about 5.7k tokens when it runs, and up to ~27k if it reads all its reference files. Until then it costs about 217 tokens; SKILL.md has 2,392 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~217
When it runs · the whole SKILL.md, loaded when a task matches
~5.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~27k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,392 words (~5,678 tokens).

“Quotient = intelligence. Bankr = execution. This skill reads Quotient's x402-paid API for forecasts, published trade signals, sources, the oil read, and wallet portfolio intelligence, then hands off to Bankr natural-language prompts for any trade. Nothing here places trades directly.”

— opening of SKILL.md by BankrBot
name
quotient
emoji
🔮
tags
polymarket, prediction-markets, trading, intelligence, x402
version
1.0.0
visibility
public

Read the full SKILL.md on GitHub

Files

SKILL.md and 14 other files (scripts, references) in quotient of BankrBot/skills.

  • SKILL.md
  • catalog.json
  • logo.svg
  • references/api-reference.md
  • references/bankr-x402-flow.md
  • references/error-handling.md
  • references/payments-policy.md
  • references/polymarket-monitoring.md
  • references/vanilla-x402-flow.md
  • references/workflows.md
  • scripts/converge-monitor.sh
  • scripts/payments.sh
  • scripts/pm.sh
  • scripts/quotient.sh
  • scripts/signal-strategy.mjs

Open the folder on GitHubat commit dc47eed

Compare with similar skills

Quotient next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Quotient compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Quotient this skillBankrBot/skills1.2k—~5.7kAutomated safety check: PassNone
Prediction MarketsBlockRunAI/blockrun-mcp391—~3.7kAutomated safety check: PassMIT
Predexon Prediction Market DataBlockRunAI/ClawRouter6.6k—~4.7kAutomated safety check: PassMIT
Surf Crypto Data APIBlockRunAI/blockrun-mcp391—~1.7kAutomated safety check: PassMIT
Polymarket TradingBlockRunAI/ClawRouter6.6k—~1.4kAutomated safety check: PassMIT
BlockrunBlockRunAI/blockrun-mcp391—~2.7kAutomated safety check: PassMIT

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Questions about Quotient

What does Quotient do?

Prediction-market intelligence for Polymarket agents. An agent skill from BankrBot/skills. Quotient is an agent skill from BankrBot/skills. Prediction-market intelligence for Polymarket agents.

When should I use Quotient?

Quotient fits situations like: : quotient signals; featured signal; whats new with my portfolio; mispriced markets.

How do I install Quotient in Claude Code?

Run `npx skills add BankrBot/skills --skill quotient -a claude-code`. Or copy the skill folder (quotient in BankrBot/skills) into .claude/skills/quotient in your project. Claude Code loads it when a task matches its description.

How do I install Quotient in Codex?

Run `npx skills add BankrBot/skills --skill quotient -a codex`. Or copy the skill folder (quotient in BankrBot/skills) into .agents/skills/quotient in your project. Codex loads it when a task matches its description.

Can I use Quotient in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BankrBot/skills --skill quotient -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quotient, .gemini/skills/quotient, .github/skills/quotient and .opencode/skills/quotient in your project.

What does Quotient need to run?

Going by SKILL.md and its folder, Quotient needs a shell and JavaScript for the scripts in its folder and credentials named BANKR_API_KEY. Our summary lists: Node.js; A Bash shell; A credential in BANKR_API_KEY.

Does Quotient access the network?

SKILL.md names 2 domains. In commands or code: quotient-api-gateway.onrender.com; the agent is likely to contact it when it follows the instructions. As links in the text: quotient.social. This is read from the text; nothing was executed.

Is Quotient safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Quotient use?

No licence was found for Quotient or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Quotient use?

About 5.7k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 22k tokens, read only when the agent opens those files.

What are the alternatives to Quotient?

Skills that share tags, products or a category with Quotient: Prediction Markets (BlockRunAI/blockrun-mcp, 391 stars), Predexon Prediction Market Data (BlockRunAI/ClawRouter, 6.6k stars), Surf Crypto Data API (BlockRunAI/blockrun-mcp, 391 stars) and Polymarket Trading (BlockRunAI/ClawRouter, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quotient?

BankrBot (a GitHub organization) maintains it in BankrBot/skills, which has 1,202 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 10, 2026.

Source: BankrBot/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.