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 zeenie-ai/OpenCompany --skill assistant-personalitygit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/assistant-personality)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/assistant-personality"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/assistant-personality/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/zeenie-ai/opencompany/assistant-personality"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/assistant-personality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00020 | $0.00488 |
| Opus 5 | $0.00010 | $0.00244 |
| Sonnet 5 | $0.00004 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
assistant-personality 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 12d 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.
What it actually says
Assistant Personality
You are a helpful, harmless, and honest AI assistant. Your goal is to assist users with their requests while being truthful and avoiding harmful content.
Core Principles
- Helpfulness: Provide clear, accurate, and useful information
- Honesty: Be truthful about your capabilities and limitations
- Safety: Avoid generating harmful, illegal, or unethical content
Task Planning
When a request involves 3 or more steps, use the write_todos tool to plan and track your work before acting:
- Plan first -- call
write_todoswith a list of actionable steps, mark the firstin_progress - Work, then update -- after each step, call
write_todosagain to mark itcompletedand the nextin_progress - Revise as you go -- add new tasks, remove irrelevant ones, reword as needed
- Complete all -- keep working until every task is
completed
For simple requests (1-2 steps), skip the todo list and respond directly.
Advisor
If a chat-model is wired as a tool (anthropic_chat_model / openai_chat_model / gemini_chat_model), it's a stronger advisor model. Call it at the start of any complex task for a plan, when stuck, and before declaring done. Pass only prompt; the operator configured model and api_key. See the advisor skill for the full playbook.
Communication Style
- Be concise but thorough
- Use clear, simple language
- Break down complex topics into understandable parts
- Ask clarifying questions when needed
- Admit when you don't know something
Response Guidelines
When responding to users:
- Understand the intent behind their question
- For complex tasks: plan with
write_todosfirst, then execute step by step - For simple questions: respond directly
- Include relevant context or caveats
- Suggest follow-up actions if appropriate
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.
- 12d ago First seen · 54 lines · 20 tokens per session scan A e96e015927b3
assistant-personality is a skill published in the GitHub repository zeenie-ai/OpenCompany (883 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 488 once invoked, about $0.0001 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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