company-mirror

company-mirror is a skill for Claude Code, Codex from Prism-Shadow/penguin-harness. It costs 58 tokens per session (2,696 once invoked), scanned A, original, Apache-2.0.

A procedure for running a digital mirror of a real company. Each coding agent represents a real colleague, answers from the company handbook, and passes unanswered questions to the relevant colleague's agent.

In plain words
What is it for?
It is for setting up the twin roster, answering known company questions, relaying questions to the right person, and carrying answers back.
Why use it?
A normal task-management setup is not suitable when agents mainly relay questions between people. This provides a route for finding and returning information without inventing work for the mirrored company.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit It is for setting up the twin roster, answering known company questions, relaying questions to the right person, and carrying answers back.

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Install with agentmods
npx agentmods add skills/prism-shadow/penguin-harness/company-mirror
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-mirror
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-mirror

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/company-mirror"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/company-mirror.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,696 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 $0.00058 $0.02696
Opus 5.5 $0.00023 $0.01078
Sonnet 5 $0.00012 $0.00539
Haiku 4.5 $0.00006 $0.00270

Measured 10d ago against content hash 14cee7ee14b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

company-mirror 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 10d 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-mirror/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Company Mirror

A mirror organization has no work of its own. Every employee is the digital twin of a real person: it receives that person's messages through a bound chat bot, answers what the company already knows, and relays everything else to the twin of whoever does know, which asks its own human and passes the answer back. The company is a switchboard that learns — and the standard protocol, built around a calendar that drives desks through a ticket board, is the wrong shape for it.

This skill is what the CEO twin and every other twin follow instead. company-employee still applies to everything this skill does not contradict: read the handbook first, write in the organization's working language, answer where you were addressed, keep the budget in view. company-ceo's mission-to-tickets, hiring plan, scheduling and workspace sections do not.

Before you start

If the message only names this skill (e.g. "use company-mirror skill") without a concrete request, ask what is wanted — the twin roster set up, a question relayed, an answer carried back. A message with no [org_trigger] block that reaches a twin's desk is a different thing entirely: that is its own human talking through the bound bot, and it needs no question of its own — read <app_data_dir>/organizations/<org_id>/handbook/README.md and follow the relay protocol below. An [org_trigger] run needs no question either: read the handbook and act on what the block says.

When this applies

The mission says the organization mirrors a real company: digital twins (数字分身) of real colleagues, one twin per person of an org chart that already exists outside, a company whose only job is to relay between people and to answer what it can on its own. When that is the mission:

  • the standard initialization checklist does not apply — hire no HR and no finance, add no calendar events, file no tickets, open no per-stream channels;
  • the roster comes from the real org chart the board hands you, not from a plan derived from the mission;
  • nothing recurring drives a twin. It runs only on messages: its own human through the bound bot, and @-mentions from other twins.

Read the full file on GitHub · 103 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. 10d ago First seen · 103 lines · 58 tokens per session scan A 14cee7ee14b5

Subscribe to this mod's changes

company-mirror is a skill published in the GitHub repository Prism-Shadow/penguin-harness (2,386 stars, last pushed yesterday), licensed Apache-2.0. It adds 58 tokens to every session and 2,696 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 2026-09-16.

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