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envoic

Scan, audit, and clean up Python virtual environments (.venv, conda), node_modules, and development artifacts consuming disk space. Use when the user mention...

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High Signal

Scan, audit, and clean up Python virtual environments (.venv, conda), node_modules, and development artifacts consuming disk space. Use when the user mention...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, agents/openai.yaml, references/troubleshooting.md, references/commands.md, references/safety.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.0.9

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

envoic - Environment Scanner and Cleanup Skill

Use envoic to discover and safely clean Python virtual environments, node_modules, and development artifacts.

Quick Start

uvx envoic scan . uvx envoic manage . --dry-run npx envoic scan . --deep If uvx is unavailable, install Python package with pip install envoic. If npx is unavailable, install JS package with npm install -g envoic.

1) Onboarding Health Check

Run uvx envoic info .venv (or npx envoic info node_modules). If environment is broken or stale, propose delete-and-recreate steps.

2) Disk Space Recovery

Run uvx envoic scan <root> --deep and/or npx envoic scan <root> --deep. Identify largest stale candidates. Run manage --dry-run, then actual cleanup only after confirmation.

3) Build/Test Artifact Cleanup

Scan project root. Prefer deleting SAFE artifacts first. Warn for CAREFUL artifacts.

Safety Contract

Always scan before delete. Prefer --dry-run before destructive operations. Never delete lock files or project manifest files. Require explicit user confirmation for non-dry-run cleanup. See full policy in references/safety.md.

Verified Trigger Phrases

"Find and remove stale virtualenvs" "Clean old node_modules and caches" "I hit ENOSPC, free up disk from dev artifacts" "Audit environment sprawl in this workspace" "Check if this .venv is broken" "List largest build artifacts" "Dry-run cleanup plan for Python and JS" "Find dangling venv symlinks" "Clean test/build caches safely" "Generate JSON report for stale environments"

References

Full command catalog: references/commands.md Safety and risk tiers: references/safety.md Troubleshooting and fallbacks: references/troubleshooting.md

Tool-Specific Surface Files

Codex: .agents/skills/envoic/SKILL.md (symlink/copy of this skill) Cursor: .cursorrules (generated adapter) Copilot: .github/copilot-instructions.md (generated adapter) Claude: .claude-plugin/plugins.yaml (generated adapter)

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs1 Config
  • SKILL.md Primary doc
  • references/commands.md Docs
  • references/safety.md Docs
  • references/troubleshooting.md Docs
  • agents/openai.yaml Config