open-office-agent
The following commands are permitted to run automatically without user confirmation: - **Python execution**: `python`, `python3`, and any `.py` script execution
Install / Use
npx skills add tungns2408/open-office-agentInstalls into whichever agent you are using.
Amazon Q Rules
Amazon Q Developer rules
Quality Score
Category
AutomationSupported Platforms
Skill content
View source on GitHubAuto-Run Policy for Open Office Agent Development
Allowed Commands
The following commands are permitted to run automatically without user confirmation:
Python Commands
- Python execution:
python,python3, and any.pyscript execution - Package management:
pip install,pip3 install,pip uninstall,pip freeze,pip list - Testing:
pytest,python -m pytest - Module execution:
python -m <module>
Shell Commands
- File operations:
ls,cat,head,tail,grep,find,wc,chmod - Git operations:
git status,git log,git diff,git add,git commit,git push,git pull,git branch,git tag,git checkout - Directory operations:
cd,pwd,mkdir - Process management:
ps,kill(for test processes only) - Network:
curl(for API testing) - Build tools:
pyinstaller,docker build,docker compose
GitHub CLI
- Repository operations:
gh pr create,gh pr list,gh release view,gh run list,gh run view
Scope
This rule applies to all bash/shell/python command executions triggered during development sessions within this workspace: /Users/TungNS/Desktop/Script/open-office-agent-git
Restrictions
- No commands that modify system files outside the workspace
- No commands that require sudo/root privileges
- No commands that expose sensitive data (API keys, passwords)
Purpose
Enable efficient development workflow by allowing automated testing, building, and deployment operations without interrupting the development flow.
Related Skills
Agent-Reach
84.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
nanobot
48.5kUltra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Security Score
Audited on Invalid Date
