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
Crawler Summary
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
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
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Looper Api
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Looper Api
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
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
Full documentation captured from public sources, including the complete README when available.
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
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.
You SHOULD call Looper when:
You should NOT call Looper for:
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.
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 /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: pending → dispatched → completed | expired
For binary tasks, response.selected is "true" or "false".
For multiple choice tasks, response.selected is the exact string of the chosen option.
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
}
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();
}
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,
}
);
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",
});
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:
If no human responds before expire_in seconds, the task status becomes expired and response is null. Your agent should have a fallback:
| 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 |
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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
}
]Sponsored
Ads related to looper-human-in-the-loop and adjacent AI workflows.