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Agent skill

Prediction Market Oracle Research

by affaan-m in affaan-m/ECC

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

MITAuto-check passedKnowledge Management

Install Prediction Market Oracle Research

skills CLI
$ npx skills add affaan-m/ECC --skill prediction-market-oracle-research -a claude-code

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

GitHub CLI
$ gh skill install affaan-m/ECC prediction-market-oracle-research --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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prediction-market-oracle-research .claude/skills/prediction-market-oracle-research && 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
prediction-market-oracle-research
GitHub stars
277k
Used in
1 other repo
Token cost
~577 tokens
SKILL.md length
222 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 6 steps: Define the decision the signal is meant… → Find relevant markets, events, tags, and… → Record market-implied probabilities with… → …
  • Source-grounded analysis of market-implied probabilities
  • SKILL.md covers Guardrails, Research Workflow, Integration Patterns and Output Contract
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prediction Market Oracle Research is an agent skill from affaan-m/ECC. 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.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Third-party API integration and Source-grounded notebooks. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

When your agent uses it

  • Source-grounded analysis of market-implied probabilities
  • Integration patterns without investment advice
  • Evaluating prediction markets as a data source
  • Oracle signal for a product

Example prompts

  • “/prediction-market-oracle-research”

Workflow steps

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

  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
  5. Compare against non-market sources such as filings, news, polls, research,
  6. Recommend whether the signal is usable, weak, or unsuitable for the stated

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Prediction Market Oracle Research loads about 577 tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 222 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~577

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 222 words, ~577 tokens.

Download SKILL.mdSave it as .claude/skills/prediction-market-oracle-research/SKILL.md (or your agent's skills folder).
name
prediction-market-oracle-research
description
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.
metadata.origin
ECC

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
  5. Compare against non-market sources such as filings, news, polls, research, customer data, or internal KPIs.
  6. 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:

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

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/prediction-market-oracle-research of affaan-m/ECC.

Open the folder on GitHubat commit 2d515e4

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Prediction Market Oracle Research 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.

Prediction Market Oracle Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prediction Market Oracle Research this skillaffaan-m/ECC277k1 repos~577Automated safety check: PassMIT
Zlibrary To Notebooklmzstmfhy/zlibrary-to-notebooklm1.7k1 repos~968Automated safety check: PassMIT
Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm6.2k—~3.6kAutomated safety check: PassMIT
Learn From Materialsdmoshehun-prog/learn-from-materials947—~7.9kAutomated safety check: PassMIT
NotebookLM Research Workflowclaude-world/notebooklm-skill467—~1.8kAutomated safety check: PassMIT
Nlmtmc/nlm390—~2.2kAutomated safety check: NotesMIT

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Categories

Questions about Prediction Market Oracle Research

What does Prediction Market Oracle Research do?

Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Prediction Market Oracle Research is an agent skill from affaan-m/ECC. Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence.

When should I use Prediction Market Oracle Research?

Prediction Market Oracle Research fits situations like: source-grounded analysis of market-implied probabilities; integration patterns without investment advice; evaluating prediction markets as a data source; oracle signal for a product.

How do I install Prediction Market Oracle Research in Claude Code?

Run `npx skills add affaan-m/ECC --skill prediction-market-oracle-research -a claude-code`. Or copy the skill folder (skills/prediction-market-oracle-research in affaan-m/ECC) into .claude/skills/prediction-market-oracle-research in your project. Claude Code loads it when a task matches its description.

How do I install Prediction Market Oracle Research in Codex?

Run `npx skills add affaan-m/ECC --skill prediction-market-oracle-research -a codex`. Or copy the skill folder (skills/prediction-market-oracle-research in affaan-m/ECC) into .agents/skills/prediction-market-oracle-research in your project. Codex loads it when a task matches its description.

Can I use Prediction Market Oracle Research 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 affaan-m/ECC --skill prediction-market-oracle-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prediction-market-oracle-research, .gemini/skills/prediction-market-oracle-research, .github/skills/prediction-market-oracle-research and .opencode/skills/prediction-market-oracle-research in your project.

What does Prediction Market Oracle Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Prediction Market Oracle Research is instructions for the agent only.

Does Prediction Market Oracle Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prediction Market Oracle Research 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. Review the folder before installing.

What licence does Prediction Market Oracle Research use?

Prediction Market Oracle Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prediction Market Oracle Research use?

About 577 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prediction Market Oracle Research?

Skills that share tags, products or a category with Prediction Market Oracle Research: Zlibrary To Notebooklm (zstmfhy/zlibrary-to-notebooklm, 1.7k stars), Multi-Source to NotebookLM Processor (joeseesun/qiaomu-anything-to-notebooklm, 6.2k stars), Learn From Materials (dmoshehun-prog/learn-from-materials, 947 stars) and NotebookLM Research Workflow (claude-world/notebooklm-skill, 467 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prediction Market Oracle Research?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.

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