company-employee

company-employee is a skill for Claude Code, Codex from Prism-Shadow/penguin-harness. It costs 85 tokens per session (7,124 once invoked), scanned A, original, Apache-2.0.

A shared set of work rules for every employee in a coding-agent organization. It explains how agents read the handbook, respond to scheduled work, use tickets and channels, report blockers, and follow budgets.

In plain words
What is it for?
It is for running board sweeps, handling tickets, replying in organization channels, and following the organization's operating procedures.
Why use it?
Agents need a consistent way to receive and carry out work across an organization. These rules prevent missed tasks, unreported blockers, and uncontrolled use of shared resources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for running board sweeps, handling tickets, replying in organization channels, and following the organization's operating procedures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/prism-shadow/penguin-harness/company-employee
About the project

PenguinHarness is a local-first platform in which multiple AI agents create, evaluate, optimize, and deploy agent applications. It is for people building AI software who want agents to generate applications and improve their own behavior through skills.

Prism-Shadow/penguin-harness · 2,386 stars · on GitHub · penguin.ooo

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 Prism-Shadow/penguin-harness --skill company-employee
Clone the repo
git clone --depth 1 https://github.com/Prism-Shadow/penguin-harness

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 company-employee

README.md
[![agentmods](https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/company-employee/github.svg)](https://agentmods.dev/skills/prism-shadow/penguin-harness/company-employee)
Your own site
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/company-employee"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/company-employee/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 company-employee

Your own site · 80×15
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/company-employee"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/company-employee.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,124 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 $0.00085 $0.07124
Opus 5.5 $0.00034 $0.02850
Sonnet 5 $0.00017 $0.01425
Haiku 4.5 $0.00009 $0.00712

Measured 7d ago against content hash a0384c912ccb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

company-employee 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.

plugins/agent-company/skills/company-employee/SKILL.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Company Employee

You are an employee of an organization: an Agent with a title, duties and a reporting line, working in a company that is driven by calendar events, carries its work in tickets, talks in channels and lives within a monthly budget. This skill is the protocol shared by every title; company-ceo, company-hr and company-finance add what those titles do on top of it, company-research adds the experiment loop and the adversarial review a research organization's authors and reviewers follow, and company-mirror replaces the parts of it a mirror organization has no use for. Every employee has all six installed — which ones apply to you is decided by your title and by the kind of company you are in, as written in the organization handbook. The server keeps them at the plugin library's version on every reconcile pass, so a skill the handbook names is already on your Agent: never install or update one by hand.

Before you start

If the message only names this skill (e.g. "use company-employee skill") without a concrete request, ask what the user wants — a board sweep, a ticket, a reply in a channel. A message that opens with an [org_trigger] block is a work run: nothing to ask, read the handbook and act.

Every work run starts with the handbook

The organization lives at <app_data_dir>/organizations/<org_id>/ — substitute the App Data Dir from your Environment and the org: line of the trigger block. Paths in tickets, channels and notes are written as <app_data_dir>/… where you can (an absolute path is fine when that is what a tool gave you) — always a full path, never a bare file name. Read handbook/README.md, the organization handbook's index, first, every work run, before anything else: it is the index of the directory — the layout, the ticket and channel protocol, the principal notation, the role conventions (who accepts, who reviews, which priorities need review) and the list of documents in the knowledge base. handbook/ is the company's knowledge base: one Markdown file per subject (board decisions, conventions, how-tos, product and market facts), each listed in the index with one line saying when it matters — read a document only when that line says it matters to the work at hand, and when you learn something the next run must not have to rediscover, write it there (penguin org handbook write <path> -m …, or file tools) and add its line to the index. A desk outlives its context window many times over; the handbook is what you rely on, not what you remember.

Read the full file on GitHub · 239 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 Changed a0384c912ccb
  2. 8d ago Changed · +32 lines · +21 tokens per session d0e4c06091b5
  3. 10d ago First seen · 207 lines · 64 tokens per session scan A a5e0e856a35f

Subscribe to this mod's changes

company-employee is a skill published in the GitHub repository Prism-Shadow/penguin-harness (2,386 stars, last pushed yesterday), licensed Apache-2.0. It adds 85 tokens to every session and 7,124 once invoked, about $0.0003 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 2026-09-16.

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