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Ops Deck Lite
by
Solomon Neas
· GitHub ↗
· v1.0.0
· MIT-0
116
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Install in OpenClaw
/install ops-deck-lite
Description
Lightweight agent productivity toolkit: semantic code search with embeddings and a categorized prompt library. Two services, ~200MB RAM, zero cloud dependenc...
Usage Guidance
This skill appears consistent with a local code-search + prompt library, but it will read your filesystem, start persistent services (PM2), and pull a large Ollama model. Before installing: (1) inspect or implement an allowlist/exclude list so sensitive folders (keys, creds, node_modules if desired) are not indexed; (2) confirm Ollama runs locally and you trust the model source before running 'ollama pull'; (3) run the servers as an unprivileged user (do not run as root); (4) review any generated server.py/server.js and the PM2 ecosystem file before starting; (5) be aware pm2 save and the cron entry will persist — remove them if you stop using the tool; (6) consider where the SQLite index will be stored and who can read it. If you want higher assurance, request the actual server source files from the author (they are not included) and perform a code review before starting the services.
Capability Analysis
Type: OpenClaw Skill
Name: ops-deck-lite
Version: 1.0.0
The ops-deck-lite skill bundle provides instructions for an AI agent to set up a semantic code search engine and prompt library, but it includes high-risk behaviors such as automated crontab modification for persistence and recursive file system indexing. While these actions are aligned with the stated purpose in SKILL.md, the combination of system-level persistence, broad file access, and the deployment of local network services (ports 5202, 5204) without explicit authentication or scoping constitutes a significant security risk.
Capability Assessment
Purpose & Capability
The name/description match the runtime instructions: a local FastAPI code-search service and a Node prompt-library. However the registry metadata lists no required binaries/env while SKILL.md clearly requires Node.js, Python, PM2, SQLite and Ollama. That metadata omission is inconsistent (not necessarily malicious) and worth noting before install.
Instruction Scope
SKILL.md instructs walking your project directories, chunking every code file, creating summaries, and sending chunks to an embeddings service (Ollama local API). This is expected for a code indexer, but it means the skill will read arbitrary files (potentially including secrets) and store them in a local SQLite DB and summary store. It also modifies crontab for nightly re-indexing. Verify which filesystem paths will be indexed and that sensitive files are excluded before running.
Install Mechanism
There is no formal install spec (instruction-only), so nothing is automatically downloaded by the registry, which reduces risk. The instructions do require running pip/npm and 'ollama pull' to fetch a ~4GB embedding model — that will download data from Ollama's model source. Pulling large models from the network and installing system services (pm2) are normal for this tool but are actions you should validate and run deliberately.
Credentials
The skill does not request any environment variables or external credentials in metadata. The runtime needs (Ollama, local endpoints, DB files) are proportional to a local-only semantic search tool. Note: index contents may include credentials or secrets from your codebase unless you explicitly exclude them.
Persistence & Privilege
The instructions instruct installing PM2-managed services and adding a cron job for nightly re-indexing, which grants persistent background presence and automatic activity on the host. The skill metadata does not use always:true, but the intended setup will persist across reboots and modify user crontab/pm2 state — review and approve these changes manually.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ops-deck-lite - After installation, invoke the skill by name or use
/ops-deck-lite - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of ops-deck-lite: lightweight agent productivity toolkit.
- Semantic code search service with hybrid (vector + keyword) matching powered by local embeddings and natural language summaries.
- Categorized, searchable prompt library for easy management and reuse of prompt templates.
- Both services are lightweight (~200MB RAM total), fully local, and require zero external/cloud dependencies.
- Fast setup with Node.js, Python (FastAPI), Ollama, and SQLite; ready-to-use API endpoints for both tools.
- Designed to dramatically improve AI agent efficiency when searching code and reusing prompts.
Metadata
Frequently Asked Questions
What is Ops Deck Lite?
Lightweight agent productivity toolkit: semantic code search with embeddings and a categorized prompt library. Two services, ~200MB RAM, zero cloud dependenc... It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install Ops Deck Lite?
Run "/install ops-deck-lite" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ops Deck Lite free?
Yes, Ops Deck Lite is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ops Deck Lite support?
Ops Deck Lite is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ops Deck Lite?
It is built and maintained by Solomon Neas (@solomonneas); the current version is v1.0.0.
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