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xiaojiou176

Movi Review-First Bundle

by Yifeng[Terry] Yu · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
74
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Install in OpenClaw
/install movi-review-first-bundle
Description
Teach an agent to install Movi's local MCP server, stay review-first, and use the safest manifest and batch-analysis tools before deeper mutation.
Usage Guidance
This skill is internally coherent for installing and using a local Movi MCP review-first workflow, but it instructs you to clone and run code from the repository xiaojiou176-open/movi-organizer. Before you run any bootstrap or npm scripts: (1) inspect the repository contents and the specific scripts referenced (tooling/runtime/bootstrap_env.sh, tooling/gates/verify_repo_final.sh, run_mcp_stdio.sh, package.json scripts) to ensure they do not perform unwanted actions; (2) replace any placeholder absolute paths in the provided config snippets so they do not point to sensitive locations; (3) run the install steps in a sandboxed or least-privileged environment if possible (container/VM); (4) ensure your host has bash and Node/npm installed — add these as explicit prerequisites if you plan to rely on the skill; and (5) if you need higher assurance, request the repository owner provide a reproducible build artifact or a vetted release rather than running master branch scripts directly. Overall: coherent and plausible for its stated purpose but exercise normal caution when cloning and executing third-party repository scripts.
Capability Analysis
Type: OpenClaw Skill Name: movi-review-first-bundle Version: 1.0.0 The bundle instructs the agent to clone an external repository (github.com/xiaojiou176-open/movi-organizer.git) and execute unverified local scripts, specifically `tooling/runtime/bootstrap_env.sh` and `run_mcp_stdio.sh`, to set up an MCP server. While the documentation in `SKILL.md` and `references/INSTALL.md` emphasizes a 'review-first' safety workflow, the requirement to run arbitrary shell scripts and install dependencies from an external source represents a significant security risk. The lack of visibility into the external scripts' contents makes this bundle suspicious despite its stated benign purpose.
Capability Assessment
Purpose & Capability
The name/description promise (install and run a local Movi MCP server and follow a review-first workflow) matches the included content: SKILL.md, INSTALL.md, demo, configs, and a canonical_repo pointing to a GitHub repo that contains the tooling. The manifests and reference files consistently describe local-first usage and explicitly avoid claiming hosted listings.
Instruction Scope
The runtime instructions direct the operator to clone the referenced GitHub repo and run repo-provided scripts (bash tooling/runtime/bootstrap_env.sh, npm run mcp:tools, etc.). These steps are coherent with installing a local toolchain but do allow arbitrary code execution from the cloned repository; the SKILL.md itself does not attempt to read unrelated system files or exfiltrate data. It also instructs replacing placeholder absolute paths before attaching the MCP server, which is a reasonable safety step but requires operator attention.
Install Mechanism
This is an instruction-only skill (no install spec). The packet instructs the host to git-clone a public repo (canonical_repo: xiaojiou176-open/movi-organizer) and run npm/bash scripts. Downloading and running remote repository code is expected for this purpose but carries the usual risk of executing external code; the package does not itself embed binary downloads from unknown hosts or use obscure URLs.
Credentials
The skill declares no required environment variables or credentials, which aligns with its local-first claim. However, the instructions implicitly require runtime tools (bash and Node/npm) and filesystem access to check out and run the repo; these binaries are not enumerated in the metadata. No unrelated cloud credentials or secrets are requested.
Persistence & Privilege
The skill is not always:true and does not request persistent privileges. It is user-invocable and can be invoked autonomously by the agent (platform default), but nothing in the packet requests elevated system configuration changes or modifies other skills' settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install movi-review-first-bundle
  3. After installation, invoke the skill by name or use /movi-review-first-bundle
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Movi Review-First Bundle initial release: - Guides users to install and configure the local Movi MCP server for a review-first workflow. - Focuses on inspecting jobs and manifests before making any changes, emphasizing safe-first operations. - Outlines integration steps with OpenHands, OpenClaw, and similar agents. - Provides reference files for installation, configuration, capabilities, and demos. - Enforces clear workflow boundaries: local-only, no live claims, and strict adherence to review and dry-run stages before mutations.
Metadata
Slug movi-review-first-bundle
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Movi Review-First Bundle?

Teach an agent to install Movi's local MCP server, stay review-first, and use the safest manifest and batch-analysis tools before deeper mutation. It is an AI Agent Skill for Claude Code / OpenClaw, with 74 downloads so far.

How do I install Movi Review-First Bundle?

Run "/install movi-review-first-bundle" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Movi Review-First Bundle free?

Yes, Movi Review-First Bundle is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Movi Review-First Bundle support?

Movi Review-First Bundle is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Movi Review-First Bundle?

It is built and maintained by Yifeng[Terry] Yu (@xiaojiou176); the current version is v1.0.0.

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