Agentlas OS is a local-first system for creating, storing, borrowing, and running specialist AI agents and temporary agent teams through supported hosts and models. It serves people who want reusable agents that remain available across computers and model workspaces, and the catalogue contains its skills, commands, hooks, agents, instructions, plugin, and rule.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/agentlas-ai/agentlas-os/public-plugin-packagingnpx skills add agentlas-ai/Agentlas-OS --skill public-plugin-packaginggit clone --depth 1 https://github.com/agentlas-ai/Agentlas-OSWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentlas-ai/agentlas-os/public-plugin-packaging)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/public-plugin-packaging"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/public-plugin-packaging.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00275 |
| Opus 5 | $0.00017 | $0.00138 |
| Sonnet 5 | $0.00007 | $0.00055 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
public-plugin-packaging scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Public Plugin Packaging
Checklist
codex/marketplace.jsonexists.- Codex plugin has
.codex-plugin/plugin.json. - Codex plugin includes at least one
SKILL.md. - Codex plugin includes
commands/<slug>.mdfor the package command. .claude/commands/meta-agent.mdexists..claude/commands/<slug>.mdexists for the package command..claude/agents/agentlas-core-engine-meta-agent.mdexists..claude/skills/agentlas-core-engine-meta-agent/SKILL.mdexists..gemini/commands/<slug>.tomlexists for Gemini CLI custom commands..agentlas/global-commands.jsonexists and final handoff includesglobal_commands.scripts/install.shsupports one-line installation.scripts/verify-package.shpasses.scripts/public_safety_check.shpasses.
Public Boundary
Publish schemas, templates, prompts, and adapters. Do not publish hosted service secrets, private research notes, raw logs, or local machine paths.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 29 lines · 34 tokens per session scan A 3aa1d1cdf710
public-plugin-packaging is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,103 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 275 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
release-cut
Cut a new pi-agent-dashboard release: promote ## [Unreleased] in CHANGELOG.md, bump every workspace package.json per SemVer, commit, tag v , and push — triggering the Release workflow that publishes every non-private workspace, builds the Electron artifacts, and creates a GitHub Release. Use on "cut a release"…
release-revoke
Revoke or rollback a pi-agent-dashboard release: delete the GitHub Release, remove the git tag locally and on origin, deprecate the npm version (npm unpublish is blocked after 72h), and optionally revert the release commit. Use when the user says "revoke release", "rollback release", "delete release", "unpublish…
ship-feature
Ship a feature end-to-end — update tests, docs, docs-site, then release to PyPI. Use when user says "ship", "ship feature", "release", or asks to publish a new version.
ship-change
Ship an OpenSpec change after openspec-apply completes. When only QA/manual tasks remain, marks them done (tested later), archives + syncs specs, commits, pushes, opens a PR against develop, watches CI, waits for CodeRabbit, auto-applies safe fixes and re-pushes, loops until CI green + no actionable review threads…
release-prep
Prepare release documentation including CHANGELOG entry, announcement text, and validation. Run before tagging a new release.
massgen-release-documenter
Guide for following MassGen's release documentation workflow. This skill should be used when preparing release documentation, updating changelogs, writing case studies, or maintaining project documentation across releases.