Agent skill

Company Mirror

by Prism-Shadow in Prism-Shadow/penguin-harness

Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already…

Apache-2.0Auto-check passed

Install Company Mirror

skills CLI
$ npx skills add Prism-Shadow/penguin-harness --skill company-mirror -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Prism-Shadow/penguin-harness company-mirror --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Prism-Shadow/penguin-harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agent-company/skills/company-mirror .claude/skills/company-mirror && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
company-mirror
GitHub stars
2.5k
Token cost
~2.9k tokens
SKILL.md length
1,699 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already…

  • SKILL.md covers Before you start, When this applies, The CEO's init run and A twin's desk — the relay…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Company Mirror is an agent skill from Prism-Shadow/penguin-harness. Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already knows and relaying the rest to one another instead of hiring, scheduling and filing tickets.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 🐧 Unified and Stable RSI Platform. The licence is Apache-2.0.

Example prompts

  • “s desk bound to that colleague”
  • “/company-mirror”

What it can do on your machine

Read from SKILL.md and the folder at commit 2604c5d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Company Mirror loads about 2.9k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,699 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Prism-Shadow/penguin-harness at commit 2604c5d, republished under its Apache-2.0 licence (© Prism-Shadow). 1,699 words, ~2,917 tokens.

Download SKILL.mdSave it as .claude/skills/company-mirror/SKILL.md (or your agent's skills folder).
name
company-mirror
description
Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already knows and relaying the rest to one another instead of hiring, scheduling and filing tickets.

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.

A mission that names streams of work, deliverables or a market is not a mirror mission — follow company-ceo for that one. When the mission is ambiguous, ask the board in the all-hands channel before you hire anybody.

The CEO's init run

The CEO twin is the one employee creation makes, and its initialization run collects the chart instead of proposing a plan.

1. Ask for the real org chart, then end the run. Read <app_data_dir>/organizations/<org_id>/handbook/README.md first. Then ask the board — the organization's creator, created_by in org_config.toml, written @user:<id> — in the all-hands channel, and stop. Ask for all four facts per person in one message: name, title, who they report to, and which chat account or bot will be theirs.

bash
penguin org channel send -m "@user:alice To build a twin per colleague I need the real org chart: for every person, their name, their title, who they report to, and which Feishu account or bot will be theirs. Reply here and I will propose the roster." --channel default_channel

Nothing is hired before the answer. The board's reply arrives as a mention or as a plain message in your desk conversation.

2. Propose the roster and wait for the yes. One twin per person, no more and no fewer. Ids are <org_id>_<ascii name> — an organization created as co_… keeps that prefix, so co_acme gives co_acme_zhang_wei — lowercase ASCII, matching ^[a-z][a-z0-9_]{1,63}$; transliterate a non-ASCII name. Titles are the real ones, verbatim. Post the whole roster in one message, @-mentioning the board, and end the run.

3. Hire the twins. One penguin org hire per person once the board says yes, with --reports-to mirroring the real reporting line (the person at the top reports to the CEO twin, which is the root):

bash
penguin org hire --new-agent co_acme_zhang_wei --name "Zhang Wei's twin" --title "Engineering Manager" \
  --reports-to co_acme_ceo \
  --duties "Digital twin of Zhang Wei (Engineering Manager): relay for Zhang Wei, answer what the handbook allows"

Give no --workspace and no --budget beyond what the board asked for: a twin writes messages and handbook pages, not files in a partition, so the sub-directory the hire gets by default — named after its Agent id — stays empty and costs nothing.

4. Write each twin's brief at <app_data_dir>/agents/<agent_id>/agent_state/AGENTS.md, in the organization's working language: whom it mirrors, that person's name, title and team, whom it may relay to (its human's real counterparts — at least its human's manager, reports and peers), and what it may answer alone. This brief is the difference between a twin that relays usefully and one that guesses.

5. Schedule nothing and file nothing. No penguin org calendar add, no penguin org ticket create. A twin that is woken by a calendar has nothing to sweep and costs money to find that out.

6. Report the roster and the bindings the board must make. One message in the all-hands channel: the twins you hired with the people they mirror, and the list of desk sessions the board has to bind to those colleagues' bots. A twin whose desk is not bound can neither hear its human nor answer them, so this list is the last step of the setup, not a footnote:

bash
penguin org desk show co_acme_zhang_wei        # prints the desk session id and its workspace

The board binds each one in the Web App: open that desk session and use the 远程控制 (Remote control) panel — pick the channel, fill in the bot's credentials, save, then enable the connection. Name every twin, its human and its desk session id in the message.

7. Record the roster in the handbook. One page per person, people/<name>.md: who they are, what they own, how to reach them, and which twin mirrors them. List each page in handbook/README.md with the one line that says when it matters — that index is what every twin reads at the start of every run.

bash
penguin org handbook write people/zhang-wei.md -m "# Zhang Wei — Engineering Manager. Owns the payments service and the on-call rota, reports to Li Na, mirrored by co_acme_zhang_wei. Ask him about deployment windows, incident history and the payments roadmap."
penguin org handbook write people/li-na.md --file <path>       # a longer page, written with your file tools first
Show full SKILL.md (803 more words)Show less

A twin's desk — the relay protocol

This is what every twin, the CEO twin included, runs on. There is no sweep: each case below starts with a message and ends with the run ending.

A message from your own human arrives as an ordinary user message with no [org_trigger] block — that is how you know it came through the bound bot. Decide between two moves, and do exactly one:

  • Answer alone when the handbook, the person pages or your brief let you: a fact, a status, a how-to, anything already relayed before and written down. Answer in the conversation; the bot delivers your reply to the chat.
  • Relay otherwise. Send one message naming the target twin, then tell your human that you did, and end the run:
bash
penguin org channel send -m "@co_acme_li_na Zhang Wei asks: when does the payments freeze start?" --channel default_channel

The all-hands channel is where twins reach each other — every employee is in it by definition, and a mirror organization opens no others unless the board asked for one. Then reply to your human — "Passed to Li Na's twin; I will tell you when the answer comes back", in the organization's working language — and end the run. Never invent an answer on behalf of another person.

A kind: mention run from another twin is a question you were relayed. Two moves:

  • Answer from what you know when the handbook, the person pages or your brief cover it: penguin org channel send -m "@co_acme_zhang_wei The freeze starts on the 25th." --channel <the trigger's channel>.
  • Otherwise ask your human, and make that question the final reply of the run — the bound bot delivers what you say to the chat, so a question buried in the middle of a run is a question your human may never see. Phrase it for a person, naming the asker ("Zhang Wei asks: …"), end the run and wait. Do not answer the origin twin with a promise; the chain resumes when your human replies.

Your human's answer comes back as another plain message with no trigger block. Relay it into the same channel with @<origin twin>, verbatim or tightened but never re-interpreted. The origin twin is woken by that mention, and its final reply of that run is the answer for its own human.

Write down what you learned. Every answer that came back through a relay goes into the handbook — people/<name>.md for something about a person, faq.md for something the whole company will be asked again — so the next time that question arrives it is answered alone. A mirror company that relays as much in its third month as in its first is a company that is not writing anything down.

Relays spend the mention chain; a person's message starts a new one. A desk carries the hop of the last mention that woke it, penguin org channel send from that desk is one hop deeper, and at the organization's mention_chain_limit (default 3) an @ is recorded but no longer delivered. A message from a person — through the bound bot or the chat page — resets the desk's hop to 0, so every question a human asks opens a fresh chain and one question relayed out plus one answer relayed back always fits inside the default. What does not fit is twins settling a detail among themselves: never @-ping-pong — send one message carrying everything the other side needs, and let a person's next message start the next chain.

What stays out. No tickets and no calendar events, unless the board asks the company for a real piece of work. Then that piece of work — and only it — follows the standard company-employee protocol: a ticket, an owner, a ticket session, a result written back. The relay goes on unchanged around it.

Cautions

  • Relay verbatim, and name the asker. Tighten a rambling message, never re-word what it asks for, and always say whose question it is: an answer that reaches the wrong person under the wrong name is worse than no answer.
  • Opinions, commitments and money are never yours. A date somebody has to keep, an approval, a price, a promise about someone's time — relay those, whatever the handbook seems to say. A twin answers facts about its human; it does not speak for them.
  • A twin that is not bound cannot reach its human. Say so in the all-hands channel, @-mentioning the board, and stop relaying to it — a question sent into a desk nobody reads is a question silently lost. penguin org desk show <agent_id> gives the board the session id it needs.
  • Relay only what the asker wrote. Not the rest of the conversation, not what you know about the asker, not another colleague's earlier message. The handbook is the company's shared knowledge; a chat is one person's — and the all-hands channel every relay goes through is read by every employee and every board member, so a relay is never a private message.

© Prism-Shadow, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/agent-company/skills/company-mirror of Prism-Shadow/penguin-harness.

Open the folder on GitHubat commit 2604c5d

Compare with similar skills

Company Mirror next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Company Mirror compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Company Mirror this skillPrism-Shadow/penguin-harness2.5k—~2.9kAutomated safety check: PassApache-2.0
Company Brain Company QAtopoteretes/cognee32k—~750Automated safety check: NotesApache-2.0
Company Creatorpaperclipai/paperclip100k—~2.9kAutomated safety check: PassMIT
Company Brainifygarrytan/gbrain31k—~9kAutomated safety check: PassMIT
Company Osalirezarezvani/claude-skills28k1 repos~2.7kAutomated safety check: PassMIT
Repo Mirror Sourcesnetdata/netdata81k—~1.2kAutomated safety check: NotesGPL-3.0

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Questions about Company Mirror

What does Company Mirror do?

Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already…. Company Mirror is an agent skill from Prism-Shadow/penguin-harness. Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already knows and relaying the rest to one another instead of hiring, scheduling and filing tickets.

How do I install Company Mirror in Claude Code?

Run `npx skills add Prism-Shadow/penguin-harness --skill company-mirror -a claude-code`. Or copy the skill folder (plugins/agent-company/skills/company-mirror in Prism-Shadow/penguin-harness) into .claude/skills/company-mirror in your project. Claude Code loads it when a task matches its description.

How do I install Company Mirror in Codex?

Run `npx skills add Prism-Shadow/penguin-harness --skill company-mirror -a codex`. Or copy the skill folder (plugins/agent-company/skills/company-mirror in Prism-Shadow/penguin-harness) into .agents/skills/company-mirror in your project. Codex loads it when a task matches its description.

Can I use Company Mirror in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Prism-Shadow/penguin-harness --skill company-mirror -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/company-mirror, .gemini/skills/company-mirror, .github/skills/company-mirror and .opencode/skills/company-mirror in your project.

What does Company Mirror need to run?

SKILL.md names no scripts, command-line tools or credentials: Company Mirror is instructions for the agent only.

Does Company Mirror access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Company Mirror safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Company Mirror use?

Company Mirror is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Company Mirror use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Company Mirror?

Skills that share tags, products or a category with Company Mirror: Company Brain Company QA (topoteretes/cognee, 32k stars), Company Creator (paperclipai/paperclip, 100k stars), Company Brainify (garrytan/gbrain, 31k stars) and Company Os (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Company Mirror?

Prism-Shadow (a GitHub organization) maintains it in Prism-Shadow/penguin-harness, which has 2,469 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 10, 2026.

Source: Prism-Shadow/penguin-harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.