SKILLEMALL.ai
GitHub ↗ RU Sign in

AB ai-video-remix

AI-driven video remix generator that uses ShotAI semantic search + LLM planning + Remotion rendering to produce styled video compositions from a user's local video library. Use when the user asks to create a video remix, highlight reel, travel vlog, sports highlight, nature montage, or any styled video cut from their library. Triggers on requests like "帮我做一个混剪", "make a travel vlog from my library", "create a sports highlight", or "generate a video with my footage". Requires ShotAI (local MCP server) to be running. Works with any OpenAI-compatible LLM API or falls back to heuristic mode with no API key.

ClawHub Agent Skills author: Yoki v0.1.3 MIT-0 8 files body ≈ 2 431 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 67/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

GeneratorMedia and videoAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
91
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration read-dotenv references/setup.md:69
      Reads a .env file
      cp .env.example .env
    • low Exfiltration read-dotenv SKILL.md:51
      Reads a .env file
      cp .env.example .env    # fill in SHOTAI_URL, SHOTAI_TOKEN, and optionally AGENT_PROVIDER

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "source"
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 67/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 39 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2431 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 610: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a disclosed, documentation-only video remix skill with expected cautions around a separately cloned runtime, local media access, optional LLM use, and optional YouTube music downloads.
    LLM: benign (high) · VirusTotal: · 29 May 2026