Paperclip is a Node.js server and React application for coordinating AI agents as a business team, with goals, organizational roles, budgets, governance, and work tracking in one interface. It is used by people managing multiple agents or autonomous agent organizations across tools such as OpenClaw, Claude Code, Codex, and Cursor. The catalogue includes skills, agents, an MCP add-on, and an instruction for working with Paperclip.
Borrowing it
Nothing to install: this file belongs to paperclipai/paperclip. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/paperclipai/paperclip/master/.agents/skills/company-creator/SKILL.mdgit clone --depth 1 https://github.com/paperclipai/paperclipWrote 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/paperclipai/paperclip/company-creator)<a href="https://agentmods.dev/skills/paperclipai/paperclip/company-creator"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/company-creator/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/paperclipai/paperclip/company-creator"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/company-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00044 | $0.02682 |
| Opus 5 | $0.00022 | $0.01341 |
| Sonnet 5 | $0.00009 | $0.00536 |
| Haiku 4.5 | $0.00004 | $0.00268 |
Grade A, and why
company-creator 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- company-creator — 89% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Creator
Create agent company packages that conform to the Agent Companies specification.
Spec references:
- Normative spec:
docs/companies/companies-spec.md(read this before generating files) - Web spec: https://agentcompanies.io/specification
- Protocol site: https://agentcompanies.io/
Two Modes
Mode 1: Company From Scratch
The user describes what they want. Interview them to flesh out the vision, then generate the package.
Mode 2: Company From a Repo
The user provides a git repo URL, local path, or tweet. Analyze the repo, then create a company that wraps it.
See references/from-repo-guide.md for detailed repo analysis steps.
Process
Step 1: Gather Context
Determine which mode applies:
- From scratch: What kind of company or team? What domain? What should the agents do?
- From repo: Clone/read the repo. Scan for existing skills, agent configs, README, source structure.
Step 2: Interview (Use AskUserQuestion)
Do not skip this step. Use AskUserQuestion to align with the user before writing any files.
For from-scratch companies, ask about:
- Company purpose and domain (1-2 sentences is fine)
- What agents they need - propose a hiring plan based on what they described
- Whether this is a full company (needs a CEO) or a team/department (no CEO required)
- Any specific skills the agents should have
- How work flows through the organization (see "Workflow" below)
- Whether they want projects and starter tasks
For from-repo companies, present your analysis and ask:
- Confirm the agents you plan to create and their roles
- Whether to reference or vendor any discovered skills (default: reference)
- Any additional agents or skills beyond what the repo provides
- Company name and any customization
- Confirm the workflow you inferred from the repo (see "Workflow" below)
Workflow — how does work move through this company?
A company is not just a list of agents with skills. It's an organization that takes ideas and turns them into work products. You need to understand the workflow so each agent knows:
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 272 lines · 44 tokens per session scan A 6916b61e4f37
company-creator is a skill published in the GitHub repository paperclipai/paperclip (80,385 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 2,682 once invoked, about $0.0002 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 2026-08-30.
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