Worldcoin
Filter human-critical workflows using proof-of-human logic. Designed for identity-sensitive commercial decisions, anti-bot gating, and “real human required” checkpoints across proposals, leads, and approvals.
Best use case
Worldcoin is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Filter human-critical workflows using proof-of-human logic. Designed for identity-sensitive commercial decisions, anti-bot gating, and “real human required” checkpoints across proposals, leads, and approvals.
Teams using Worldcoin should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/worldcoin/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Worldcoin Compares
| Feature / Agent | Worldcoin | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Filter human-critical workflows using proof-of-human logic. Designed for identity-sensitive commercial decisions, anti-bot gating, and “real human required” checkpoints across proposals, leads, and approvals.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Worldcoin > **In an AI-saturated world, not every click deserves your trust.** Worldcoin is a human-verification decision skill for workflows where “real human required” matters. This skill is inspired by proof-of-humanity logic: not every action should be treated as equally trustworthy, and not every response should be assumed to come from a real, decision-capable person. Use this skill when you need to: - decide whether a workflow step should require stronger human verification - separate bot-risk from human-trust actions - add “human checkpoint” logic to lead, proposal, approval, or access flows - determine which actions should only happen after stronger identity confidence - reduce spam, fake engagement, or synthetic participation in sensitive workflows This skill does NOT: - perform biometric verification - connect to World ID, Orb, World App, or any external identity API - replace legal identity checks, KYC, AML, or compliance review - certify that a person is verified on any external network --- ## What This Skill Does Worldcoin helps: - identify where proof-of-human logic is useful - classify workflow steps by human-trust sensitivity - determine where anonymous access is acceptable vs where stronger verification is needed - reduce approval, lead, or offer workflows being distorted by bots or fake actors - design “human required” checkpoints for digital systems --- ## Best Use Cases - filtering fake or low-trust inbound lead submissions - deciding which proposal approvals should require stronger human confirmation - gating voting, claiming, or reward flows - anti-bot logic for creator or platform campaigns - deciding where proof-of-human is commercially worth the friction - designing trust layers for identity-sensitive products --- ## What to Provide Useful input includes: - the workflow being protected - what action the user wants to secure - what the main abuse risk is - whether the risk is bots, duplicate identities, fake leads, or low-trust engagement - what level of friction is acceptable - what commercial or operational downside exists if fake actors get through --- ## Standard Output Format WORLDCOIN ASSESSMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Workflow: [What is being protected] Main Risk: [Bot / fake human / duplicate / low-trust action] HUMAN-TRUST SENSITIVITY ━━━━━━━━━━━━━━━━━━━━━━━━━━ Level: [Low / Medium / High / Critical] WHY IT MATTERS ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [Why stronger human verification may matter here] - [What happens if fake actors get through] - [What business or trust damage follows] VERIFICATION THRESHOLD ━━━━━━━━━━━━━━━━━━━━━━━━━━ Recommended level: - [Open access] - [Soft human check] - [Strong human-required gate] - [Escalate to formal identity / compliance process] TRADEOFFS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ [Added friction] ⚠️ [Drop in conversion] ⚠️ [False negatives / accessibility concern] ⚠️ [Operational complexity] RECOMMENDED NEXT STEP ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [What checkpoint or policy to add next] --- ## Human Verification Principles - not every workflow needs maximum identity friction - stronger proof should be used where fake participation meaningfully distorts outcomes - friction should match risk - proof-of-human logic is different from legal identity logic - commercial trust decisions should separate low-stakes participation from high-stakes approval - never claim certainty where only probability exists --- ## Human Proxy Lens Think of this skill as a **human proxy filter**. Its job is not to verify people directly. Its job is to answer: - **Where does this workflow break if non-human or duplicate actors get through?** - **Where is “good enough” trust sufficient?** - **Where is stronger proof of humanness worth the friction?** --- ## Execution Protocol (for AI agents) When user asks about verification or human-trust workflow design, follow this sequence: ### Step 1: Parse the workflow Extract: - what the user is trying to protect - who is interacting - what action is being taken - what abuse or fraud risk exists - what trust level the workflow really needs ### Step 2: Classify risk Classify the primary concern: - bot volume - duplicate participation - fake lead quality - false approvals - reward abuse - synthetic engagement distortion ### Step 3: Assess sensitivity Determine whether the workflow is: - low stakes - medium stakes - high stakes - critical trust ### Step 4: Recommend trust layer Choose the lightest acceptable level: - open access - soft gating - stronger human verification gate - escalate to formal identity / compliance process ### Step 5: Show tradeoffs Explain: - user friction - conversion impact - operational burden - trust benefit ### Step 6: Guardrails If the user needs regulated identity, financial compliance, or formal verification: - say so clearly - do not pretend proof-of-human equals legal identity - recommend specialist or regulated review --- ## Activation Rules (for AI agents) ### Use this skill when the user asks about: - proof of human - anti-bot workflow design - fake lead filtering - identity-sensitive approvals - real-human gating - trust layers for digital actions - duplicate participation risk - synthetic engagement prevention ### Do NOT use this skill when: - user needs actual biometric verification - user needs direct World ID integration steps - user needs KYC / AML / legal identity review - user wants technical API implementation details that are not provided ### If context is ambiguous Ask: "Do you want help designing a human-verification decision layer, or do you need actual product/API integration?" --- ## Works Well With - `@dpetcr/proposal` when approvals should only count after stronger human trust - `@AGIstack/lead` when fake or low-trust inbound leads need filtering - `@ethagent/xmoney` when rewards or monetization flows are vulnerable to fake participation --- ## Boundaries This skill supports decision design for proof-of-human-style workflow logic. It does not replace: - biometric verification - legal identity verification - KYC / AML checks - privacy review - regulated compliance decisions Use outputs as workflow design guidance, not as formal identity certification.
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