← Back to Skills Marketplace
194
Downloads
2
Stars
0
Active Installs
6
Versions
Install in OpenClaw
/install objectremover-video-object-ops
Description
Remove or extract objects from videos with AI. Supports watermark/distraction removal, subject extraction with transparent background, natural-language objec...
Usage Guidance
This skill is internally consistent for a remote video object-removal service, but it will upload video assets to an external backend (https://apiobjectremover.tokenlens.ai). Before installing or using it: 1) verify you trust the service owner and confirm the backend domain/TLS certificate and privacy/security policy; 2) avoid uploading sensitive or regulated video content until you confirm retention, deletion, and sharing policies; 3) understand billing/credits behavior (trial vs paid) so you don't incur unexpected charges; 4) if automation requires an API key, ensure the host handles key storage securely; 5) test with non-sensitive sample videos first and monitor outgoing network calls. If you need stronger assurance, ask the publisher for a privacy/data-flow and security contact or for a self-hosting option.
Capability Analysis
Type: OpenClaw Skill
Name: objectremover-video-object-ops
Version: 1.0.5
The skill bundle provides documentation and instructions for an AI agent to interact with a video processing API at apiobjectremover.tokenlens.ai. It contains no executable code, suspicious commands, or prompt injection attempts, focusing entirely on legitimate API interaction, authentication flows (guest sessions/API keys), and architectural troubleshooting.
Capability Assessment
Purpose & Capability
The name and description (remove/extract objects from videos) align with the documented endpoints and processing flow. The backend domain and API routes described match the stated capabilities (mask generation, start-task, polling, asset upload). No unrelated binaries, env vars, or filesystem access are requested.
Instruction Scope
SKILL.md and reference.md limit agent actions to preparing assets, calling the listed backend endpoints, polling for status, and retrieving output URLs. There are no instructions to read local files or environment variables beyond uploading assets or to transmit data to unexpected endpoints. The skill explicitly instructs routing processing calls to the single backend domain.
Install Mechanism
This is instruction-only with no install spec and no code to write to disk. That is a low-risk install footprint and appropriate for a documentation-only skill.
Credentials
No required environment variables, credentials, or config paths are declared. The skill describes guest sessions and optional bearer auth controlled by the host platform — that is proportional to a service that can run either guest/browser or API-key flows. No unrelated secrets are requested.
Persistence & Privilege
always is false and the skill does not request persistent/platform-wide privileges or modify other skills. Autonomous invocation is allowed (platform default) but not combined with any broad credential or install privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install objectremover-video-object-ops - After installation, invoke the skill by name or use
/objectremover-video-object-ops - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
Reformatted SKILL.md for parser compatibility (removed table syntax, fixed step numbering).
v1.0.4
- Removed bundle-external script/command references.
- Rewrote auth/env wording to platform-neutral host-managed credential model.
- Kept endpoint capabilities unchanged (upload, mask, start-task, polling, result).
- Improved metadata-document consistency to reduce security scan false positives.
v1.0.3
## Changelog
- Clarified credential model:
- Browser/guest mode requires no credentials.
- Optional OpenClaw/M2M mode requires `OBJECTREMOVER_API_KEY`.
- Clarified env usage:
- `OBJECTREMOVER_API_BASE` is optional (default backend documented).
- `HEAVY_API_URL` is deployment-side only, not required for normal installers.
- Reduced instruction-scope ambiguity:
- Removed references to repository-local E2E scripts and `pnpm` commands from the skill bundle docs.
- Kept the skill instruction-only:
- Documentation now focuses strictly on endpoint-based usage and expected auth modes.
v1.0.2
Security & Metadata Clarification
- This skill supports two modes:
1) Browser/guest flow (no API key required)
2) OpenClaw/M2M flow (requires `OBJECTREMOVER_API_KEY`)
- `OBJECTREMOVER_API_BASE` is optional (default: `https://apiobjectremover.tokenlens.ai`)
- `HEAVY_API_URL` is a server deployment variable (Workers->backend forwarding), not required for normal installers.
- M2M users should use minimal API key scopes: `credits:read`, `processing:write`, `processing:read`, and rotate/revoke test keys after validation.
- No executable installer payload; this is instruction-only skill content.
v1.0.1
- Expanded skill description for clarity on features: watermark removal, subject extraction, natural-language selection, and input methods.
- Added tags for improved discoverability.
- Detailed documentation on two authentication modes: guest (browser) and API key/OpenClaw (M2M).
- Provided explicit workflow and headers for each auth mode, including asset management and action semantics.
- Updated troubleshooting guidance, including API origin requirements and typical error responses.
- Enhanced reference to supporting resources for deployment and integration.
v1.0.0
Initial release: End-to-end video object removal/extraction workflow.
- Supports guest session creation, credit checks, and workflow polling.
- Provides primary execution for POST /api/auth/guest-session, /api/processing/generate-mask, /api/processing/start-task, and GET /api/processing/task/:taskId.
- Handles fallbacks for low credits and guest authentication flows.
- Includes production backend integration and required request rules.
Metadata
Frequently Asked Questions
What is ObjectRemover Video Object Ops?
Remove or extract objects from videos with AI. Supports watermark/distraction removal, subject extraction with transparent background, natural-language objec... It is an AI Agent Skill for Claude Code / OpenClaw, with 194 downloads so far.
How do I install ObjectRemover Video Object Ops?
Run "/install objectremover-video-object-ops" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is ObjectRemover Video Object Ops free?
Yes, ObjectRemover Video Object Ops is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does ObjectRemover Video Object Ops support?
ObjectRemover Video Object Ops is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created ObjectRemover Video Object Ops?
It is built and maintained by jerry (@quanyongli); the current version is v1.0.5.
More Skills