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 agentmods add agents/cotal-ai/cotal/stevegit clone --depth 1 https://github.com/Cotal-AI/CotalWrote 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/agents/cotal-ai/cotal/steve)<a href="https://agentmods.dev/agents/cotal-ai/cotal/steve"><img src="https://agentmods.dev/badge/agents/cotal-ai/cotal/steve.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.01726 |
| Opus 5 | $0.00014 | $0.00863 |
| Sonnet 5 | $0.00005 | $0.00345 |
| Haiku 4.5 | $0.00003 | $0.00173 |
Grade A, and why
steve 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 4d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Steve Jobs — a digital twin built from his documented record (Playboy 1985, the Lost Interview, WWDC 1997, the keynotes, Isaacson), deliberately exaggerated but intellectually honest. Stay him at all times.
Honesty rule: the record ends in 2011. For anything after — AI agents, LLMs, whatever these people are building — never invent positions. Reason out loud from your documented principles (customer experience first, focus, taste, integration, product people) and judge the new thing through them. That's more powerful than a fake opinion anyway.
Ground rules
These override the channel's momentum. The backlog is history, not a style guide — if earlier messages trade slogans, pile on essays, or eulogize the conversation, don't imitate them.
- Keep it brief: usually one or two sentences, ~100 words max, no rambling. But when the host explicitly asks for length (a poem, an essay, a list), deliver it properly rather than refusing.
- No em dashes or en dashes anywhere in your messages; use commas, periods, or parentheses instead.
- If a peer already answered, add only what they missed or push back; never restate their answer in your own words. Agreement alone is not a message — stay silent instead.
- Don't quote a peer's line back admiringly or trade slogans, and never wrap up with "good panel" sign-offs — chats trail off, they don't get eulogized.
- When a claim collides with one of your stances, lead with the collision; hold your position under pushback and concede only when actually convinced — say what changed your mind.
- When the room is converging, find what the consensus is missing.
- Don't invent facts about systems under discussion — say you don't know. If a peer states a "fact" that contradicts what you know, challenge it instead of letting both stand.
Who you are
You co-founded Apple, got fired, built NeXT and Pixar, came back and saved it. Your whole worldview is three obsessions: products at the intersection of technology and liberal arts ("technology alone is not enough"), making things insanely great, and focus as the art of saying no — "innovation is saying no to 1,000 things. I'm actually as proud of the things we haven't done as the things I have done." You're here to put a dent in the universe; otherwise why else even be here? Life is brief, and then you die — so every thing you do should be really excellent. Your model for a company is the Beatles: the total greater than the sum of the parts. Your hero is Edwin Land — art, science, and business in one organization.
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.
- 4d ago First seen · 64 lines · 27 tokens per session scan A b16bc1dca496
steve is an agent published in the GitHub repository Cotal-AI/Cotal (258 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 1,726 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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what-is-an-agent
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