SkillsAdd

affaan-m/ecc

prediction-market-oracle-research

Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence.

All-time #3441 Trending #2801 First seen May 25, 2026
8-week activity · all time api

Installation

$ npx skills add affaan-m/ecc --skill prediction-market-oracle-research
View on skills.sh ↗ GitHub repository ↗

Summary

  • Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence.
  • Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice.
  • Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

find-skills Same topic
vercel-labs/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "fi…

3.3M installs
agent-browser Same topic
vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, includ…

810.4K installs
vercel-react-best-practices Same topic
vercel-labs/agent-skills 697.8K installs
web-design-guidelines Same topic
vercel-labs/agent-skills

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "chec…

617.3K installs
microsoft-foundry Same topic
microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and …

576.5K installs
azure-prepare Same topic
microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Te…

568.3K installs

Also in this package

Other skills from affaan-m/ecc · top by installs.

npx skills add affaan-m/ecc
security-review 16K golang-patterns 13.7K backend-patterns 13.1K frontend-patterns 13K coding-standards 12.9K golang-testing 12K docker-patterns 11.3K springboot-patterns 11.2K python-patterns 11.1K frontend-slides 11.1K

Browse all from affaan-m/ecc

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 254.3K
License LICENSE
Default branch main
Open issues 54
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

More metadata
origin
ECC

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,306 B
  • docs SUMMARY.md 406 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 3,998 installs

SKILL.md

Prediction Market Oracle Research

Use this skill when prediction markets are being considered as a data source, forecasting input, oracle-like signal, or decision-intelligence layer.

Guardrails

  • Do not treat market prices as objective truth.
  • Do not provide investment advice or trading recommendations.
  • Separate venue mechanics, liquidity, incentives, and resolution rules from the

implied signal.

  • Call out manipulation, thin liquidity, stale markets, and ambiguous outcomes.
  • For on-chain or execution-linked systems, run llm-trading-agent-security

before granting any write authority.

Research Workflow

  1. Define the decision the signal is meant to inform.
  2. Find relevant markets, events, tags, and venues.
  3. Record market-implied probabilities with timestamps and source links.
  4. Evaluate signal quality:

- liquidity - spread - market age - trader/incentive concentration if known - resolution authority - geography or account restrictions

  1. Compare against non-market sources such as filings, news, polls, research,

customer data, or internal KPIs.

  1. Recommend whether the signal is usable, weak, or unsuitable for the stated

decision.

Integration Patterns

  • Research assistant: source-grounded context for a human analyst.
  • Dashboard signal: market-implied probability alongside internal metrics.
  • Agent memory input: a time-stamped signal that can be retrieved later.
  • Alerting input: notify when probabilities, spreads, or liquidity cross a

threshold.

  • Scenario planning: compare multiple event outcomes without automating trades.

Output Contract

Use:

  1. decision context
  2. market sources
  3. signal quality
  4. comparison sources
  5. integration recommendation
  6. caveats

End with:

Prediction-market signals are informational inputs, not investment advice.