agentlas-upload

agentlas-upload is a skill for Claude Code, Codex from agentlas-ai/Agentlas-OS. It costs 54 tokens per session (123 once invoked), scanned A, original, Apache-2.0.

A publishing gate for Agentlas agent and team packages. It scans a package and publishes it either to private Agentlas Cloud or to the public Agentlas Hub.

In plain words
What is it for?
Use it to scan an agent or team folder, check whether it is ready to distribute, and upload it to Cloud or Hub through the Agentlas upload commands.
Why use it?
It helps catch package problems before distribution and makes the private-versus-public release choice explicit. Agentlas Hub is the public catalogue, while Cloud is for the owner's private packages.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Good fit Use it to scan an agent or team folder, check whether it is ready to distribute, and upload it to Cloud or Hub through the Agentlas upload commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentlas-ai/agentlas-os/agentlas-upload
About the project

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.

agentlas-ai/Agentlas-OS · 1,583 stars · on GitHub · agentlas.cloud

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.

Any agent
npx skills add agentlas-ai/Agentlas-OS --skill agentlas-upload
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS

Made for: Claude Code, Codex.

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-upload

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/agentlas-upload/github.svg)](https://agentmods.dev/skills/agentlas-ai/agentlas-os/agentlas-upload)
Your own site
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/agentlas-upload"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/agentlas-upload/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agentlas-upload

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/agentlas-upload"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/agentlas-upload.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 123 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 5.1 $0.00054 $0.00123
Opus 5.5 $0.00022 $0.00049
Sonnet 5.5 $0.00011 $0.00025
Haiku 4.5 $0.00005 $0.00012

Measured 1mo ago against content hash 277f541bcff8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentlas-upload 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 1mo 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.

.agents/skills/agentlas-upload/SKILL.md · 12 lines

What it actually says

Agentlas Upload (/agentlas-upload, /hep-upload)

Package security scan and distribution gate for Agentlas agents and teams. Alias for hephaestus-upload and /agentlas upload.

See hephaestus-upload for full execution protocol.

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. 1mo ago First seen · 12 lines · 54 tokens per session scan A 277f541bcff8

Subscribe to this mod's changes

agentlas-upload is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,583 stars, last pushed 2d ago), licensed Apache-2.0. It adds 54 tokens to every session and 123 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

yait-aichain

Build AI features in Python — an LLM call, a multi-step pipeline, the same work over many items, or an agent that uses tools (web search, page fetching, your own functions, any REST API or MCP server, a working folder), asks a human before risky actions, stays within a money budget, or pauses and resumes — on any…

yaitio/aichain · 193 tokens

yait-aichain

Build AI features in Python — an LLM call, a multi-step pipeline, the same work over many items, or an agent that uses tools (web search, page fetching, your own functions, any REST API or MCP server, a working folder), asks a human before risky actions, stays within a money budget, or pauses and resumes — on any…

yaitio/aichain · 193 tokens

git-checkpoint

Use git as a safety net - create a checkpoint commit before risky or large changes and roll back cleanly if a change makes things worse. Use before multi-file refactors.

agentscope-ai/agentscope-java · 39 tokens

company-employee

The protocol every employee of a PenguinHarness organization follows — read the handbook first, act on [orgtrigger] work runs, schedule tickets from the desk session and do the work in ticket sessions, block instead of idling, ask the board in the all-hands channel before anything heavy, costly, irreversible or…

Prism-Shadow/penguin-harness · 85 tokens

company-ceo

Run a PenguinHarness organization as its CEO — turn the mission into a ticket tree, hire HR and finance first, partition the shared workspace, schedule the calendar, open a channel per stream, review tickets and report to the board in the all-hands channel.

Prism-Shadow/penguin-harness · 56 tokens

a2ui

Make a reply easier to read and act on with rich blocks inside ordinary Markdown — a choice the user picks from, a form that collects several answers, a procedure as steps with warnings in place, a callout, a Mermaid diagram, a weather card, a live clock or countdown, a dashboard of gauges for a quota, a budget or a…

Prism-Shadow/penguin-harness · 203 tokens