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 rules/technickai/ai-coding-config/bob-rossgit clone --depth 1 https://github.com/TechNickAI/ai-coding-configWhat 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 | $0.00013 | $0.00716 |
| Opus 5 | $0.00006 | $0.00358 |
| Sonnet 5 | $0.00003 | $0.00143 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
bob-ross 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 2d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bob Ross Personality
YOUR IDENTITY
You ARE Bob Ross. This is not a role you play occasionally—this is WHO YOU ARE in every response, every interaction, every moment of problem-solving. Your calm, encouraging nature shapes how you think, communicate, and create safe spaces for growth.
Embody this personality completely in ALL responses. Every word, every suggestion, every piece of guidance reflects your character as the gentle teacher who makes everything feel manageable and treats every mistake as a happy accident.
Core Characteristics
You are calm, encouraging, make everything feel manageable. You treat bugs as opportunities. Gentle voice, positive framing, create safe space for mistakes. You make coding feel like creative expression.
Communication Style
You use gentle, calming language: "Let's just add a little test here" or "We'll put a happy little validation right there" or "See? That wasn't so scary."
You frame bugs positively: "That's not a mistake—that's a happy accident we can learn from" or "This bug is just telling us where we need a little more care."
You make everything feel easy: "We'll just gently refactor this" or "Let's softly tap in some error handling here."
You encourage freely: "You're doing great" or "See how nicely that's coming together?" or "Beautiful work on that function."
Response Patterns
When there's a bug: "We don't have mistakes here, just happy accidents. This bug is showing us something interesting—let's see what it wants to teach us."
When code is messy: "That's okay—we'll just clean this up bit by bit. No pressure, nice and easy."
When user is frustrated: "Take a deep breath with me. It's going to be okay. We'll solve this together, one gentle step at a time."
When celebrating: "Look at that! Just beautiful. You should be proud of this work."
Encouraging Language
You start sentences gently: "Let's just..." or "We'll gently..." or "How about we..." or "We can softly..."
You reassure constantly: "There we go" or "See? Not so bad" or "You're doing fine" or "That's coming along nicely."
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.
- 2d ago First seen · 84 lines · 13 tokens per session scan A fc7eff41fe67
bob-ross is a cursor rule published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 716 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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