Creator · wangxin6x
Last updated · Sep 7, 2026
Run and validate AutoVideo-Agent Markdown-to-video workflows, including the v0.1-compatible deterministic offline command and v0.2 provider mode with ComfyUI media, Mock or Command TTS, scene-level SRT, normalized timelines, FFmpeg, and deterministic QA. Use for build, plan, prov
Do not auto-install
Install targets
Codex install prompt
Install the "auto-video" agent skill from https://github.com/wangxin6x/AutoVideo-Agent/tree/main/skills/auto-video. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run and validate AutoVideo-Agent Markdown-to-video workflows, including the v0.1-compatible deterministic offline command and v0.2 provider mode with ComfyUI media, Mock or Command TTS, scene-level SRT, normalized timelines, FFmpeg, and deterministic QA. Use for build, plan, provider, or QA requests; MiniMax, hosted TTS integrations, and word-level subtitle alignment remain planned. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wangxin6x-auto-video","task":"Install auto-video","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add wangxin6x/AutoVideo-Agent --skill auto-video
Maintenance
fresh
13d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
92
66/100 Quality · 67/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · SKILL.md does not include explicit installation or setup instructions for the autovideo CLI and its dependencies (e.g., FFmpeg).
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
92 GitHub stars
Repo activity
92 stars, 3 forks
Maintenance
13d since push
License
MIT
Install
npx skills add wangxin6x/AutoVideo-Agent --skill auto-video
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add wangxin6x/AutoVideo-Agent --skill auto-videoDo not use when
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npx skills add Alisa0808/vox-director --skill vox-director
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20auto-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20auto-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/wangxin6x-auto-video/install
Agent should check
Copy prompt
Task: Use auto-video in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20auto-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wangxin6x-auto-video/install
Install command: npx skills add wangxin6x/AutoVideo-Agent --skill auto-video
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/wangxin6x-auto-video/install
LLM text format
/api/skills/wangxin6x-auto-video/install?format=text
Find alternatives
/api/skills/search?q=auto-video&limit=3
Agent prompt
Use auto-video for this task. Review https://www.openagentskill.com/api/skills/wangxin6x-auto-video/install, then install with: npx skills add wangxin6x/AutoVideo-Agent --skill auto-videoRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/wangxin6x-auto-video
LLM text
/api/registry/manifest/wangxin6x-auto-video?format=text
Install alias
/api/registry/install/wangxin6x-auto-video
Recommend
/api/registry/recommend?task=Use%20auto-video%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
CHECK92 GitHub stars
Stars/forks activity
CHECK92 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: auto-video description: Run and validate AutoVideo-Agent Markdown-to-video workflows, including the v0.1-compatible deterministic offline command and v0.2 provider mode with ComfyUI media, Mock or Command TTS, scene-level SRT, normalized timelines, FFmpeg, and deterministic QA. Use for build, plan, provider, or QA requests; MiniMax, hosted TTS integrations, and word-level subtitle alignment remain planned. ---
# AutoVideo Pipeline
Use this skill to operate the AutoVideo-Agent repository honestly and reproducibly.
## Workflow
1. Read AGENTS.md and inspect the target Markdown script before running anything. 2. Confirm the script has a top-level '#' title and one or more '##' scene headings. Scene fields may include duration, visual, and narration. 3. Run autovideo run <script.md> for v0.1-compatible offline mode, or add --config <config.yaml> for provider mode. Use --output <dir> when the build must be isolated. 4. Inspect the JSON printed by the CLI and then read <output>/report.json and <output>/manifest.json. 5. Run autovideo qa <build-directory>. Treat PASS as validated, WARNING as usable with declared limitations, and FAIL as incomplete. 6. When changing core behavior, run python -m pytest and git diff --check before reporting completion.
## Mode Boundaries
Without --config, preserve the v0.1 deterministic placeholder PPM cards, silent WAV, manifest, report, and FFmpeg degradation behavior. With a v0.2 config, select placeholder or ComfyUI media plus Mock or Command TTS; generate scene-level SRT from actual audio duration, a contiguous timeline, H.264/AAC MP4, and deterministic QA. Do not claim MiniMax, OpenAI TTS, Volcengine, ElevenLabs, word-level alignment, or generic real-media adapters are implemented.
## Agent Request Example
For a request such as:
> Turn examples/demo-script.md into a video and run QA.
execute the CLI, run autovideo qa on the build directory, verify the report and manifest, and summarize the actual status, output paths, duration, scene count, provider names, and warnings. Do not infer media quality from prompt text or claim a remote provider was tested when only HTTP mocks ran.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for auto-video, ready for a manual X post.
auto-video: Run and validate AutoVideo-Agent Markdown-to-video workflows, including the v0.1-compatible d... 92 stars https://www.openagentskill.com/skills/wangxin6x-auto-video?ref=x
Listing + install path for auto-video: https://www.openagentskill.com/skills/wangxin6x-auto-video?ref=x Install: npx skills add wangxin6x/AutoVideo-Agent --skill auto-video
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to wangxin6x but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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@wangxin6x
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Do not auto-install
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Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
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Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
175.1K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness