# Agentlas Packaging

> Use when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local install, Agentlas import, Codex plugin use, Claude adapter use, or open-source release.

- **Type:** Skill
- **Install:** `agentstack add skill-agentlas-ai-agentlas-os-agentlas-packaging`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [agentlas-ai](https://agentstack.voostack.com/s/agentlas-ai)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [agentlas-ai](https://github.com/agentlas-ai)
- **Source:** https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-packaging
- **Website:** https://agentlas.cloud

## Install

```sh
agentstack add skill-agentlas-ai-agentlas-os-agentlas-packaging
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Agentlas Packaging

## Procedure

1. Inspect the existing source: prompt, repo, ZIP, runtime folder, skill, command,
   or generated agent package.
2. Classify it as single-agent, team-builder, or mixed/unclear.
3. Run `docs/builder-interview-research-gate.md` when the source behavior,
   target user, tools/plugins, output artifacts, or evaluation bar are unclear.
   Packaging must not turn a shallow prompt into a polished but weak package.
   When the gate runs, research official sources, similar agent repositories or
   comparables, academic/professional theory, and plugin docs before changing
   the source behavior.
4. Preserve useful behavior while adding Agentlas contracts:
   - `AGENTS.md`;
   - `docs/builder-interview.md`;
   - `docs/research-sources.md`;
   - `docs/tool-selection.md`;
   - `docs/domain-expert-synthesis.md`;
   - `docs/prompt-performance-contract.md`;
   - `.agentlas/capability-eval-plan.json`;
   - `.agentlas/agent-card.json`;
   - `.agentlas/company-blueprint.json`;
   - `.agentlas/mode-map.json`;
   - `.agentlas/memory-map.json`;
   - `.agentlas/memory-tickets.jsonl`;
   - `.agentlas/vault-references.json`;
   - `.agentlas/global-commands.json`;
   - runtime adapters;
   - verification scripts.
5. Add or repair the global command across Claude Code, Codex, Gemini CLI,
   generic AGENTS.md tools, and terminal adapters.
6. Remove secrets, raw logs, private local notes, and unsafe public paths.
7. Run `scripts/verify-team-package.sh ` after repair. If it
   fails, correct the package shape before any final handoff.
8. Run package verification and public-safety checks before release.

## Output

Return `classification`, `repaired_files`, `agentlas_contracts_added`,
`runtime_adapters`, `global_commands`, `verification`, and `blockers`.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [agentlas-ai](https://github.com/agentlas-ai)
- **Source:** [agentlas-ai/Agentlas-OS](https://github.com/agentlas-ai/Agentlas-OS)
- **License:** Apache-2.0
- **Homepage:** https://agentlas.cloud

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-agentlas-ai-agentlas-os-agentlas-packaging
- Seller: https://agentstack.voostack.com/s/agentlas-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
