New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Prediction Market Risk Review

by affaan-m in affaan-m/ECC

Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk.

MITAuto-check passedData & Analytics

Install Prediction Market Risk Review

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

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

GitHub CLI
$ gh skill install affaan-m/ECC prediction-market-risk-review --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-risk-review .claude/skills/prediction-market-risk-review && 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-risk-review
GitHub stars
276k
Used in
1 other repo
Token cost
~471 tokens
SKILL.md length
205 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk.

  • Works in 5 steps: scope reviewed → pass/warn/fail findings → blocked actions → …
  • Tasks that involve Data cleaning
  • SKILL.md covers Review Gates and Output Contract
  • Needs ITO_API_KEY

What it does

Prediction Market Risk Review is an agent skill from affaan-m/ECC. Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.

Its SKILL.md is about 470 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 Data & Analytics, covering Data cleaning and Trading and backtesting. 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

  • Tasks that involve Data cleaning
  • Tasks that involve Trading and backtesting

Example prompts

  • “/prediction-market-risk-review”

Requirements

  • A credential in ITO_API_KEY

Workflow steps

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

  1. scope reviewed
  2. pass/warn/fail findings
  3. blocked actions
  4. required mitigations
  5. safe next step

What it can do on your machine

Read from SKILL.md and the folder at commit 4eb71d9. 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 these keys or tokens, usually read from environment variables:

    • ITO_API_KEY

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

Context cost

Prediction Market Risk Review loads about 471 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 205 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~471

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 4eb71d9, republished under its MIT licence (© affaan-m). 205 words, ~471 tokens.

Download SKILL.mdSave it as .claude/skills/prediction-market-risk-review/SKILL.md (or your agent's skills folder).
name
prediction-market-risk-review
description
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.
metadata.origin
ECC

Prediction Market Risk Review

Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools.

Review Gates

Advice Boundary
  • Confirm the output is informational.
  • Remove buy/sell/hold/size recommendations.
  • Keep manual user decision points explicit.
Venue And Regulatory Boundary
  • Identify venue terms, geography restrictions, account limits, and API rules.
  • Flag betting, derivatives, securities, or commodities ambiguity for legal review when relevant.
  • Do not bypass venue restrictions or rate limits.
Data Quality
  • Check market liquidity, spread, resolution rules, stale prices, and source timestamps.
  • Separate public venue data from Itô gated data.
  • Do not mix public and private sources without labels.
Security
  • Do not request or store private keys, seed phrases, or passwords.
  • Keep ITO_API_KEY and venue API keys out of logs and docs.
  • Use read-only scopes by default.
  • Require circuit breakers, spend limits, dry runs, and human approval before any private implementation adds execution.
Privacy
  • Minimize user portfolio, financial, and knowledge-base data.
  • Redact private sources in public artifacts.
  • Preserve only the fields needed for the review.

Output Contract

Return:

  1. scope reviewed
  2. pass/warn/fail findings
  3. blocked actions
  4. required mitigations
  5. safe next step

If any execution-capable step is requested, require a separate implementation plan and explicit user approval.

© 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-risk-review of affaan-m/ECC.

Open the folder on GitHubat commit 4eb71d9

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 Risk Review 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 Risk Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prediction Market Risk Review this skillaffaan-m/ECC276k1 repos~471Automated safety check: PassMIT
Question2reportrefraction-ray/xalpha2.7k—~3.2kAutomated safety check: PassMIT
Dingo VerifyMigoXLab/dingo757—~741Automated safety check: NotesApache-2.0
Data Validationplatonai/Browser41.2k—~896Automated safety check: PassApache-2.0
Pandas ProJeffallan/claude-skills12k1 repos~1.5kAutomated safety check: PassMIT
Issues DeduplicationJetBrains/ideavim10k—~1.3kAutomated safety check: PassMIT

Similar skills

  • Question2report

    refraction-ray/xalpha

    Turn a natural-language financial question into a polished, self-contained HTML report.

    2.7k GitHub stars~3.2k tokensUpdated 2 mo ago
    Data & AnalyticsAuto-check passed

  • Dingo Verify

    MigoXLab/dingo

    A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.

    757 GitHub stars~741 tokensUpdated 2 days ago
    Data & AnalyticsAuto-check: notes

  • Data Validation

    platonai/Browser4

    Validates data against common and custom rules (required fields, formats, ranges).

    1.2k GitHub stars~896 tokensUpdated yesterday
    Data & AnalyticsAuto-check passed

  • Pandas Pro

    Jeffallan/claude-skills

    Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.

    12k GitHub starsUsed in 1 repo~1.5k tokens
    Data & AnalyticsAuto-check passed

  • Issues Deduplication

    JetBrains/ideavim

    Official

    Handles deduplication of YouTrack issues. An agent skill from JetBrains/ideavim.

    10k GitHub stars~1.3k tokensUpdated today
    Data & AnalyticsAuto-check passed

  • QuantMind Training Config Generator

    qusong0627/QuantMind

    Turns a plain-language model training request into a validated QuantMind training config file that can be imported from the Model Training page.

    1.7k GitHub stars~1.5k tokensUpdated today
    Data & AnalyticsAuto-check passed

More from affaan-m/ECC

All 682 skills in this repo

  • Skill Stocktake

    affaan-m/ECC

    Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.

    277k GitHub starsUsed in 5 repos~3.1k tokens
    Auto-check passed

  • VideoDB Video Search and Editing

    affaan-m/ECC

    Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.

    277k GitHub starsUsed in 3 repos~3.5k tokens
    Auto-check: notes

  • Docs Governance

    affaan-m/ECC

    Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.

    277k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Rules Distillation

    affaan-m/ECC

    Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.

    277k GitHub starsUsed in 2 repos~2.3k tokens
    Auto-check passed

  • Master Agreement Generator

    affaan-m/ECC

    Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.

    277k GitHub stars~2.9k tokensUpdated today
    Auto-check passed

  • Frontend Design Direction

    affaan-m/ECC

    Set an ECC-specific frontend design direction for production UI work.

    277k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed

Categories

Questions about Prediction Market Risk Review

What does Prediction Market Risk Review do?

Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Prediction Market Risk Review is an agent skill from affaan-m/ECC. Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk.

When should I use Prediction Market Risk Review?

Prediction Market Risk Review fits situations like: tasks that involve Data cleaning; tasks that involve Trading and backtesting.

How do I install Prediction Market Risk Review in Claude Code?

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

How do I install Prediction Market Risk Review in Codex?

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

Can I use Prediction Market Risk Review 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-risk-review -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-risk-review, .gemini/skills/prediction-market-risk-review, .github/skills/prediction-market-risk-review and .opencode/skills/prediction-market-risk-review in your project.

What does Prediction Market Risk Review need to run?

Going by SKILL.md and its folder, Prediction Market Risk Review needs credentials named ITO_API_KEY. Our summary lists: A credential in ITO_API_KEY.

Does Prediction Market Risk Review 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 Risk Review 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 Risk Review use?

Prediction Market Risk Review 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 Risk Review use?

About 471 tokens (SKILL.md is roughly 1.9k 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 Risk Review?

Skills that share tags, products or a category with Prediction Market Risk Review: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prediction Market Risk Review?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 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.