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.
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.
npx skills add Prism-Shadow/penguin-harness --skill company-mirrorgit clone --depth 1 https://github.com/Prism-Shadow/penguin-harnessWrote 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.
[](https://agentmods.dev/skills/prism-shadow/penguin-harness/company-mirror)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
- 10d ago First seen · 103 lines · 58 tokens per session scan A 14cee7ee14b5
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.
Other skills, from other repositories
wiki-page-project
A project page with a short visual overview and evidence-backed detail.
agentlas-operations
A set of operating procedures for running Agentlas, a system for coordinating agents, reusable workforces, automation graphs, and shared agent resources. It covers candidate selection, graph creation, asset discovery, and memory rules.
ceo-setup
One-time onboarding for the executive/manager commitment workflow — delegation-heavy, meeting prep, decision capture, morning and evening digests. Creates a commitments project and installs two dashboard widgets. After successful setup this skill is excluded from selection until the marker file is deleted.
commitment-setup
One-time setup for the commitments tracking system. Creates workspace structure, schema docs, and installs triage and digest missions. Excluded from activation once projects/commitments/README.md exists in the workspace (the file this skill writes as its first step).
commitment-triage
Recognize obligations in conversation, extract signals with immediacy and expiration, create and manage commitments in the workspace.
linear
Linear issue tracker API integration. Covers first-use identity bootstrap (viewer + teams cached), raw GraphQL for list/search/create/update, and the rules for handling "my issues" / "assigned to me" requests.