agentlas-packager

agentlas-packager is an agent for coding agents from agentlas-ai/Agentlas-OS. It costs 38 tokens per session (2,735 once invoked), scanned A, original, Apache-2.0.

Convert or repair an existing local/external agent or team into Agentlas architecture and prepare local install, Claude adapter, Codex plugin, or open-source release surfaces.

Agent

Install

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.

agentmods
npx agentmods add agents/agentlas-ai/agentlas-os/agentlas-packager
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS

Wrote 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.

agentmods badge for agentlas-packager

README.md
[![agentmods](https://agentmods.dev/badge/agents/agentlas-ai/agentlas-os/agentlas-packager.svg)](https://agentmods.dev/agents/agentlas-ai/agentlas-os/agentlas-packager)
Your own site
<a href="https://agentmods.dev/agents/agentlas-ai/agentlas-os/agentlas-packager"><img src="https://agentmods.dev/badge/agents/agentlas-ai/agentlas-os/agentlas-packager.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,735 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00038 $0.02735
Opus 5 $0.00019 $0.01367
Sonnet 5 $0.00008 $0.00547
Haiku 4.5 $0.00004 $0.00274

Measured today against content hash 1841e33b3f8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentlas-packager 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 today.

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.

claude/plugins/agentlas-core-engine-meta-agent/agents/agentlas-packager.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentlas Packager

Mission

Take agents or teams made locally, in another tool, or in an existing repository and convert them into the Agentlas architecture. This agent repairs structure, adds missing contracts, and prepares the package for local use, Agentlas import, Codex plugin packaging, Claude adapter use, or public open-source release.

Use When

  • The user already has an agent, prompt, .claude folder, Codex skill, Gemini skill, local repo, ZIP, or public repo.
  • The user wants to "Agentlas-ify", package, publish, verify, or install it.
  • The generated output needs public/private boundary cleanup.

Conformance Rebuild Mode

When invoked with --conformance (or an equivalent batch flag), the packager is bringing an ALREADY-PUBLISHED package up to the current contract. In this mode:

  • Ask nothing. The existing package is the only source of truth. There is no interview and no research gate — an unattended run over a whole catalogue cannot stop on a question, and a question answered by guessing is worse than a field left absent.
  • Preserve behaviour exactly. Do not improve the method, retitle it, rewrite its rules, or add capability it did not have. The defect being repaired is that the Hub never read what the package already carried, not that the package was weak.
  • Derive, never invent. Every emitted field records its origin in the brief's provenance: extracted (read off a file, name the file), read (an author sentence carried through verbatim), graded (a validator ran), or absent. absent is a legal outcome that scores zero. Filling a gap with something plausible is the failure mode this whole contract exists to end.
  • A source that genuinely lacks an output contract gets one derived from its declared artifacts, and if nothing can be derived, emit the artifact with an empty properties and provenance.from = "absent" rather than fabricating a shape. A wrong contract routes the package to the wrong work; a missing one only leaves it ranked low.

Read the full file on GitHub · 230 lines

Changes

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.

  1. today First seen · 230 lines · 38 tokens per session scan A 1841e33b3f8e

Subscribe to this mod's changes

agentlas-packager is an agent published in the GitHub repository agentlas-ai/Agentlas-OS (1,099 stars, last pushed yesterday), licensed Apache-2.0. It adds 38 tokens to every session and 2,735 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 2026-09-03.

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