ws

ws is a skill for Claude Code from protonium-labs/axiomcore-plugin. It costs 60 tokens per session (3,446 once invoked), scanned A, original, MIT.

A system for organizing recurring work into permanent workstations, work areas, and routines, separate from one-off projects.

In plain words
What is it for?
Use it to create or list workstations and areas, define routines, run them, and review the overall organization.
Why use it?
It prevents repeated activities from being mixed into temporary project work and enforces a consistent structure for them.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md.

Part of the axiomcore plugin — 8 skills, 3 agents shipped together

Good fit Use it to create or list workstations and areas, define routines, run them, and review the overall organization.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/protonium-labs/axiomcore-plugin/ws
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 protonium-labs/axiomcore-plugin --skill ws
Clone the repo
git clone --depth 1 https://github.com/protonium-labs/axiomcore-plugin

Made for: Claude Code.

Or install axiomcore, the plugin that ships this one along with the rest of its 8 skills, 3 agents.

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 ws

README.md
[![agentmods](https://agentmods.dev/badge/skills/protonium-labs/axiomcore-plugin/ws.svg)](https://agentmods.dev/skills/protonium-labs/axiomcore-plugin/ws)
Your own site
<a href="https://agentmods.dev/skills/protonium-labs/axiomcore-plugin/ws"><img src="https://agentmods.dev/badge/skills/protonium-labs/axiomcore-plugin/ws.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,446 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.
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 $0.00060 $0.03446
Opus 5 $0.00030 $0.01723
Sonnet 5 $0.00012 $0.00689
Haiku 4.5 $0.00006 $0.00345

Measured 7d ago against content hash 9b5bd038d5fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ws 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.

skills/ws/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task

Execute the requested action: $ARGUMENTS

Calling rule: /ws <action> <arguments>.

If the requested action is ambiguous or contradictory, do NOT guess: flag it and ask for clarification before executing.

Core principle: work is done at work-area level only. Workstations and sub-workstations are organizational structure for routines — the same rule work packages carry on the project side (root CLAUDE.md, Hierarchy Protocol). Projects are for temporary activity (done once); workstations are for repeated activity.

Tier check (read axiom-config.md first): in simple tier, every workstation is 2-level — do not ask the depth question, do not mention 3-level structure, and manage numbering silently. In advanced tier, follow the depth rules below in full.


Hierarchy depth (advanced tier — read before any action)

Every workstation is either 2-level or 3-level. The depth is chosen when the workstation is created and recorded in its registry as Levels: **2** or Levels: **3**.

Depth Chain Sub-workstations Addressing
2-level Workstation → Work Area (WA) Not allowed <ws> - <area>
3-level Workstation → Sub-workstation → Work Area (WA) Mandatory — every WA lives in one <ws> - <sub> - <area>

Before any action other than "new WS": read vault/workstations/<workstation>/areas.md, take Levels, and obey it. WA numbers restart at 01 inside each sub-workstation, so at 3 levels a WA is identified only together with its sub-workstation — always address it that way.

The depth is locked. This skill never converts a workstation between 2 and 3 levels. If the user asks for it, refuse and point to /setup new (Setup Protocol): the change is drafted as a setup file, executed once, and archived to setup/done/.


If action is empty

Describe this skill: its purpose and the actions table from "overview". Do not execute anything.

If action is "overview" (or unknown)

Read the full file on GitHub · 189 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. 7d ago First seen · 189 lines · 60 tokens per session scan A 9b5bd038d5fd

Subscribe to this mod's changes

ws is a skill published in the GitHub repository protonium-labs/axiomcore-plugin (3 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 3,446 once invoked, about $0.0003 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 2026-08-31.

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