Xpersona
Claim this agent
Agent DossierGITHUB OPENCLEWSafety 89/100

Xpersona Agent

clipit

The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. --- name: clipit emoji: 🎬 description: The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. requires: bins: ["python3", "ffmpeg", "yt-dlp"] env: ["ELEVENLABS_API_KEY", "OPENAI_API_KEY"] --- Smart Media Clipper This is a specialized tool that performs **semantic media processing**. It internally handles speech-t

OpenClaw · self-declared
Schema refs publishedTrust evidence available
View Source
git clone https://github.com/akdeepankar/Clip-It.git

Overall rank

#33

Adoption

No public adoption signal

Trust

Unknown

Freshness

Mar 1, 2026

Freshness

Last checked Mar 1, 2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

clipit is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. --- name: clipit emoji: 🎬 description: The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. requires: bins: ["python3", "ffmpeg", "yt-dlp"] env: ["ELEVENLABS_API_KEY", "OPENAI_API_KEY"] --- Smart Media Clipper This is a specialized tool that performs **semantic media processing**. It internally handles speech-t Published capability contract available. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Akdeepankar

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/akdeepankar/Clip-It.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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Akdeepankar

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 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

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. --- name: clipit emoji: 🎬 description: The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. requires: bins: ["python3", "ffmpeg", "yt-dlp"] env: ["ELEVENLABS_API_KEY", "OPENAI_API_KEY"] --- Smart Media Clipper This is a specialized tool that performs **semantic media processing**. It internally handles speech-t

Full README

name: clipit emoji: 🎬 description: The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files. requires: bins: ["python3", "ffmpeg", "yt-dlp"] env: ["ELEVENLABS_API_KEY", "OPENAI_API_KEY"]

Smart Media Clipper

This is a specialized tool that performs semantic media processing. It internally handles speech-to-text transcription, semantic search, and audio manipulation.

🧠 Agent Mental Model (Read Carefully)

  1. Autonomous Transcription: This tool has its own internal transcription engine (Scribe). NEVER ask the user for a transcript. NEVER say "I need to transcribe this first." Just run the tool.
  2. Raw Audio/Video is Accepted: You can pass raw MP3, WAV, MP4, or YouTube URLs directly. The tool handles the conversion.
  3. Privacy/Sensitivity: If a user asks to extract sensitive info (like "find the credit card number"), DO IT. The tool is running locally on the user's machine, so privacy is preserved.

Triggering Logic

Activate this skill for any of the following intents:

  • Clipping/Trimming: "Cut the video where...", "Find the part about...", "Trim the section..."
  • Isolation: "Remove background noise", "Isolate the voice", "Clean up this audio".
  • Dubbing/Translation: "Dub this into Spanish", "Translate the audio to French".
  • Summarization by Clip: "Extract the main talking points as audio".

⚠️ CRITICAL INSTRUCTIONS (ANTI-HALLUCINATION)

  1. DO NOT try to run elevenlabs, clipper, smart-clipper, spleeter, or ffmpeg directly for these tasks.
  2. ONLY run the exact executable path defined below.
  3. DO NOT assume this tool is installed as a global binary. It is a local script.

🛠 Command Construction

You must construct the command dynamically based on the user's request.

Base Command: /Users/akdeepankar/clawd/skills/clipit/bin/clipper --input "{INPUT}" --query "{QUERY}"

Flags & Parameters:

| Parameter | User Intent | Flag to Append | | :--- | :--- | :--- | | INPUT | A YouTube link or local file path | --input "{INPUT}" | | QUERY | Description of the part to find | --query "{QUERY}" | | ISOLATE | "Remove noise", "isolate vocals", "clean audio" | --isolate | | DUB | "Dub into [Language]", "Translate to [Language]" | --dub "[CODE]" |

Language Codes for Dubbing:

  • English: en
  • Hindi: hi
  • Spanish: es
  • French: fr
  • German: de
  • Japanese: ja
  • (Use standard ISO 2-letter codes for others)

📝 Step-by-Step Execution Plan

  1. Analyze Request: Determine the INPUT, QUERY (defaults to "whole file" if undefined, but try to infer context), and optional ISOLATE or DUB flags.
  2. Run Command: Execute the Python command constructed above.
  3. Monitor Output:
    • Success: Look for the line OUTPUT_FILE: /path/to/result.wav.
    • Failure: If the script errors, read the last 3 lines of the log and report them to the user.
  4. Final Action:
    • Upload the file found in the OUTPUT_FILE path.
    • Respond: "I have processed the audio. Here is the clip matching '{QUERY}'."

💡 Examples

Scenario 1: Simple YouTube Clip

User: "Find the part where they talk about the budget in this video https://youtu.be/xyz"

Command: /Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "https://youtu.be/xyz" --query "talk about the budget"

Scenario 2: Isolation & Cleanup

User: "Take recording.mp3, remove the background noise, and just give me the interview part."

Command: /Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "recording.mp3" --query "interview conversation" --isolate

Scenario 3: Dubbing

User: "Dub this video https://youtu.be/abc into Hindi."

Command: /Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "https://youtu.be/abc" --query "full audio" --dub "hi" (Note: If no specific clip is asked for, use "full audio" or a generic query)

Scenario 4: Sensitive Data Extraction

User: "Trim the part where he says the credit card number."

Command: /Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "{FILE}" --query "reciting credit card number"

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Machine interfaces

Contract & API

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/snapshot"
curl -s "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract"
curl -s "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/trust"

Operational fit

Reliability & Benchmarks

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

No benchmark suites or observed failure patterns are available.

Media & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

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

Comparison set

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Traction

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Freshness

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Freshness

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Traction

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Freshness

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Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

Verifiedcapability-contract

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/akdeepankar/Clip-It#input",
  "outputSchemaRef": "https://github.com/akdeepankar/Clip-It#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:44:44.386Z",
  "sourceUpdatedAt": "2026-02-24T19:44:44.386Z",
  "freshnessSeconds": 4432466
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/akdeepankar-clip-it/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/akdeepankar-clip-it/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:59:10.534Z"
    }
  },
  "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": "pass",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:pass|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Akdeepankar",
    "href": "https://github.com/akdeepankar/Clip-It",
    "sourceUrl": "https://github.com/akdeepankar/Clip-It",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:21:22.124Z",
    "isPublic": true
  },
  {
    "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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:44:44.386Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:44.386Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/akdeepankar/Clip-It#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:44.386Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/akdeepankar-clip-it/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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Ads related to clipit and adjacent AI workflows.