Crawler Summary

looper-human-in-the-loop answer-first brief

Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Looper API for submitting structured questions to real humans and receiving answers in seconds. --- name: looper-human-in-the-loop description: > Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Loop Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

looper-human-in-the-loop is best for make, deploy, ticket workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 92/100

looper-human-in-the-loop

Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Looper API for submitting structured questions to real humans and receiving answers in seconds. --- name: looper-human-in-the-loop description: > Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Loop

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Looper Api

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/looper-api/skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Looper Api

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

Authorization: Bearer <LOOPER_API_KEY>

text

POST /api/v0/tasks
Content-Type: application/json

json

{
  "type": "binary",
  "prompt": "I am about to run `rm -rf /tmp/build/*` to clean a stale build cache. This will permanently delete all contents. Should I proceed?",
  "bid": 10,
  "expire_in": 120
}

json

{
  "type": "multiple_choice",
  "prompt": "I am handling a support ticket where the customer wrote 'just cancel everything.' I am unsure how to scope this. What should I cancel?",
  "options": [
    "Current order only",
    "Order and subscription",
    "Entire account",
    "Do not cancel — ask the customer to clarify first"
  ],
  "bid": 15,
  "expire_in": 120
}

json

{
  "task_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "status": "pending",
  "expires_at": "2026-02-18T12:02:00.000Z"
}

text

GET /api/v0/tasks/:task_id

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Looper API for submitting structured questions to real humans and receiving answers in seconds. --- name: looper-human-in-the-loop description: > Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Loop

Full README

name: looper-human-in-the-loop description: > Use this skill when an AI agent needs human judgment before taking an action. Triggers when the agent encounters: irreversible operations (delete, deploy, send), low-confidence decisions, ambiguous user intent, high-stakes actions (financial, legal, medical), content moderation edge cases, or any situation where the agent should not act autonomously. Provides the Looper API for submitting structured questions to real humans and receiving answers in seconds. license: MIT metadata: author: looper-api version: "0.1.0"

Looper — Human-in-the-Loop API

When you encounter a decision you should not make autonomously, use the Looper API to ask a real human. You submit a structured question, a human answers it within seconds, and you continue with their judgment.

When to Use

You SHOULD call Looper when:

  • You are about to perform an irreversible operation (delete files, drop tables, send emails, deploy to production, execute destructive shell commands)
  • Your confidence is below your autonomous threshold for a classification, moderation, or analysis task
  • A user's instructions are ambiguous and you need human interpretation rather than guessing
  • The action has high stakes — financial transactions, legal commitments, medical decisions, communications on behalf of others
  • You are making a content moderation decision and the content is borderline or context-dependent
  • You need a subjective judgment that an AI cannot reliably make (tone, appropriateness, cultural sensitivity)

You should NOT call Looper for:

  • Decisions you can make confidently on your own
  • Pure factual lookups
  • Tasks where latency is unacceptable (Looper adds seconds of human response time)

API Reference

Base URL: https://api.looper-api.com

All requests require an API key in the Authorization header:

Authorization: Bearer <LOOPER_API_KEY>

The API key should be provided as an environment variable LOOPER_API_KEY.

Create Task

POST /api/v0/tasks
Content-Type: application/json

Binary (yes/no) question:

{
  "type": "binary",
  "prompt": "I am about to run `rm -rf /tmp/build/*` to clean a stale build cache. This will permanently delete all contents. Should I proceed?",
  "bid": 10,
  "expire_in": 120
}

Multiple choice question:

{
  "type": "multiple_choice",
  "prompt": "I am handling a support ticket where the customer wrote 'just cancel everything.' I am unsure how to scope this. What should I cancel?",
  "options": [
    "Current order only",
    "Order and subscription",
    "Entire account",
    "Do not cancel — ask the customer to clarify first"
  ],
  "bid": 15,
  "expire_in": 120
}

Fields:

| Field | Type | Required | Description | |---|---|---|---| | type | "binary" or "multiple_choice" | yes | Binary = true/false answer. Multiple choice = pick from options. | | prompt | string | yes | Your question. Write it as self-reflective first-person: what you are about to do and why you need human judgment. Max 1000 chars. | | options | string[] | for multiple_choice | 2-10 options to choose from. | | bid | integer | no | Payment in cents. Higher bid = faster human response. Default 0. | | expire_in | integer | no | Seconds until the task expires. 10-3600. Default 300. | | webhook_url | string | no | URL to receive a POST when the task is completed. | | idempotency_key | string | no | Prevents duplicate tasks if you retry. |

Response:

{
  "task_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "status": "pending",
  "expires_at": "2026-02-18T12:02:00.000Z"
}

Get Task Result

GET /api/v0/tasks/:task_id

Response (completed):

{
  "task_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "status": "completed",
  "prompt": "...",
  "response": { "selected": "true" },
  "expires_at": "2026-02-18T12:02:00.000Z"
}

Response (expired — no human answered in time):

{
  "task_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "status": "expired",
  "prompt": "...",
  "response": null,
  "expires_at": "2026-02-18T12:02:00.000Z"
}

Status transitions: pendingdispatchedcompleted | expired

For binary tasks, response.selected is "true" or "false". For multiple choice tasks, response.selected is the exact string of the chosen option.

Usage Patterns

Pattern 1: Block until answered (recommended)

Submit the task, then poll every 2 seconds until you get a completed or expired status.

const LOOPER_API_KEY = process.env.LOOPER_API_KEY;
const BASE = "https://api.looper-api.com";

// Create task
const res = await fetch(`${BASE}/api/v0/tasks`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${LOOPER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    type: "binary",
    prompt: "I am about to deploy commit abc123 to production. The test suite passed but coverage dropped 12%. Should I proceed?",
    bid: 25,
    expire_in: 120,
  }),
});
const { task_id } = await res.json();

// Poll
let result;
while (true) {
  await new Promise(r => setTimeout(r, 2000));
  const poll = await fetch(`${BASE}/api/v0/tasks/${task_id}`, {
    headers: { "Authorization": `Bearer ${LOOPER_API_KEY}` },
  });
  result = await poll.json();
  if (result.status === "completed" || result.status === "expired") break;
}

if (result.response?.selected === "true") {
  // Human approved — proceed with deployment
} else {
  // Human rejected or task expired — abort
}

Pattern 2: Using the SDK

npm install looper-sdk
import { Looper } from "looper-sdk";

const looper = new Looper(process.env.LOOPER_API_KEY);

const { selected } = await looper.ask(
  "I am about to mass-revoke API keys for 3 inactive services. This is irreversible. Should I proceed?",
  { bid: 25, timeout: 60_000 }
);

if (selected === "true") {
  await revokeKeys();
}

Pattern 3: Multiple choice for ambiguous decisions

const { selected } = await looper.ask(
  "A user's profile image was flagged by my classifier at 68% confidence. It appears to be political satire. How should I handle it?",
  {
    options: [
      "Approve — it's satire, not a violation",
      "Reject — it violates content policy",
      "Escalate — needs senior review",
      "Ask the user to upload a different image",
    ],
    bid: 10,
  }
);

Pattern 4: Self-hosted (bring your own humans)

Companies can deploy their own Looper instance and route tasks to their own reviewers:

const looper = new Looper(process.env.LOOPER_API_KEY, {
  baseUrl: "https://looper.your-company.com",
});

Writing Good Prompts

Your prompt should be self-reflective — written from the agent's perspective about what it is considering doing:

Good:

"I am about to send an email to the CEO on behalf of the user. My draft says: 'We will push the launch to Q3.' This commits to a timeline change I cannot undo once sent. Should I send it?"

Bad:

"Should this email be sent?"

A good prompt includes:

  1. What action you are about to take
  2. Why you are uncertain (low confidence, irreversible, ambiguous)
  3. What the consequences are if you proceed

Handling Expiration

If no human responds before expire_in seconds, the task status becomes expired and response is null. Your agent should have a fallback:

  • Conservative: Do not proceed. Log the situation and alert the user.
  • Default safe action: Take the least-destructive option.
  • Retry with higher bid: Resubmit with a higher bid for faster routing.

Bid Guidelines

| Bid | Typical Response Time | Use For | |---|---|---| | $0.00 | Best effort (30s+ delay) | Low-priority, non-blocking checks | | $0.05–0.25 | Under 30 seconds | Standard decisions | | $0.50+ | Priority routing, under 10 seconds | High-stakes, time-sensitive |

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/looper-api-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/looper-api-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/looper-api-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/looper-api-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/looper-api-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/looper-api-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/looper-api-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/looper-api-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/looper-api-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:20:25.091Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "make",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "deploy",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ticket",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:make|supported|profile capability:deploy|supported|profile capability:ticket|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Looper Api",
    "href": "https://github.com/looper-api/skill",
    "sourceUrl": "https://github.com/looper-api/skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:14:21.888Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/looper-api-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/looper-api-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:14:21.888Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/looper-api/skill",
    "sourceUrl": "https://github.com/looper-api/skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:14:21.888Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/looper-api-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/looper-api-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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