olares-publish

olares-publish is a skill for Claude Code, Codex from beclab/Olares. It costs 104 tokens per session (1,508 once invoked), scanned A, original, AGPL-3.0.

A publishing process for making an Olares app available in the Olares Market. Olares is a platform for packaging and distributing applications, and the process covers listing metadata, images, supported hardware types, and release steps.

In plain words
What is it for?
Use it to prepare icons and promotional images, define release targets, submit the app to the Olares Market, and track its publishing lifecycle.
Why use it?
It turns an app that already runs locally into a market-ready submission with the required files and review workflow. It also covers paid listings and the pull request process used for publication.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Shared front door:** load [`../olares-shared/SKILL.md`](../olares-shared/SKILL.md) for suite routing and platform entry points. Publishing itself does not req.

Good fit Use it to prepare icons and promotional images, define release targets, submit the app to the Olares Market, and track its publishing lifecycle.

Compare 6 skills from other repositories ↓
About the project

Olares is an open-source personal cloud operating system that uses Kubernetes to combine a user’s hardware, storage, networking, applications, AI agents, and language models in one self-hosted environment. Individuals and small teams use it to run agents and local AI on computers they own while accessing their resources through a browser. The catalogue skills help users manage and operate Olares.

beclab/Olares · 5,265 stars · on GitHub · olares.com

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/beclab/Olares
agentmods
npx agentmods add skills/beclab/olares/olares-publish

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 olares-publish

README.md
[![agentmods](https://agentmods.dev/badge/skills/beclab/olares/olares-publish/github.svg)](https://agentmods.dev/skills/beclab/olares/olares-publish)
Your own site
<a href="https://agentmods.dev/skills/beclab/olares/olares-publish"><img src="https://agentmods.dev/badge/skills/beclab/olares/olares-publish/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 olares-publish

Your own site · 80×15
<a href="https://agentmods.dev/skills/beclab/olares/olares-publish"><img src="https://agentmods.dev/badge/skills/beclab/olares/olares-publish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,508 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 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 5.1 $0.00104 $0.01508
Opus 5 $0.00052 $0.00754
Sonnet 5 $0.00021 $0.00302
Haiku 4.5 $0.00010 $0.00151

Measured today against content hash ac6d57e2d191, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

olares-publish 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/generate_icon.py, scripts/render_promo.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

cli/skills/olares-publish/SKILL.md · 76 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 Changed ac6d57e2d191
  2. yesterday Changed · +6 lines · -5 tokens per session 47d4a2d06af8
  3. 11d ago First seen · 70 lines · 109 tokens per session scan A bc6fc1f8316c

Subscribe to this mod's changes

olares-publish is a skill published in the GitHub repository beclab/Olares (5,265 stars, last pushed today), licensed AGPL-3.0. It adds 104 tokens to every session and 1,508 once invoked, about $0.0005 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.