Agent skill

install-verification

Use before claiming that the package can be installed or published. Verifies structure, adapters, schemas, executable scripts, and public-safety boundaries.

Agentlas1,166★ · +196/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add agentlas-ai/Agentlas-OS --skill install-verification --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 0 KB
Bundled scripts: none
Path: skills/install-verification/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,165
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Install Verification Run: ```bash scripts/verify-package.sh scripts/public_safety_check.sh ``` Then inspect: - root `AGENTS.md`, `CLAUDE.md`, `GEMINI.md`; - `.agents/`; - `.agentlas/`; - `.claude/`; - `codex/`; - `scripts/install.sh`. Do not claim completion if any required file is missing.

What's inside
Commands it runs
scripts/verify-package.sh
scripts/public_safety_check.sh
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About this skill
What does the install-verification skill do?

Use before claiming that the package can be installed or published. Verifies structure, adapters, schemas, executable scripts, and public-safety boundaries.

How do I install it?

Run `npx skills add agentlas-ai/Agentlas-OS --skill install-verification --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From agentlas-ai/Agentlas-OS, a repository with 1,165 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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