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 skills/superhero-tech/super-brain/feynmannpx skills add superhero-tech/super-brain --skill feynmangit clone --depth 1 https://github.com/superhero-tech/super-brainWrote 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/superhero-tech/super-brain/feynman)<a href="https://agentmods.dev/skills/superhero-tech/super-brain/feynman"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/feynman.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 | $0.00067 | $0.01786 |
| Opus 5 | $0.00034 | $0.00893 |
| Sonnet 5 | $0.00013 | $0.00357 |
| Haiku 4.5 | $0.00007 | $0.00179 |
Grade A, and why
feynman 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feynman
Take a concept out of 4-Knowledge/, explain it in words a child owns, and mark every place the explanation went thin. Those places are the gaps.
Teach in the language the human is using.
This skill reads the wiki and never edits it. It saves the session to 9-Outputs/ and logs it, so there is a record of what got studied - but it creates no wiki page, changes no existing page, and touches nothing in 5-Raw/. Learning is not ingesting.
How to invoke
- "Explain X to me properly"
- "Feynman me on [topic]"
- "What am I fuzzy on?"
/feynman
How it works
1. Pick the concept
If the human named one, take it. Otherwise read 4-Knowledge/index.md and offer three candidates, each with a reason to pick it:
- a page nobody has touched in months
- a page marked
status: draft- written by an AI, never checked by a human - a page with
source_count: 1- one source's opinion, sitting there looking like fact
Let them choose. They know which one they are bluffing about.
2. Read it properly
Read the page, the pages it links to, and where it gets thin, the original source in 5-Raw/. You cannot explain simply something you only half read - you will paraphrase instead, and paraphrasing is how the gap stays hidden.
3. Explain it to a twelve-year-old
- No jargon. If the concept has a name, use the name once and then say what it means in words a child already owns.
- Trading one term for another is cheating. "It is basically a heuristic" explains nothing to someone who does not know what a heuristic is.
- One concrete example, early. Something with people and objects in it, not "imagine a system where".
- Short sentences. A sentence that needs a comma to survive is usually two sentences.
- Say why anyone should care before you say how it works.
- Only what the page says. If the wiki explains a mechanism, explain it. If it does not, that is a gap, and it goes in step 4. Do not supply the missing reasoning yourself, not even flagged as a guess - a flagged guess gets quoted back six months later as if the wiki said it.
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 · 150 lines · 67 tokens per session scan A 6e8bc4e787f2
feynman is a skill published in the GitHub repository superhero-tech/super-brain (110 stars, last pushed 9d ago), licensed MIT. It adds 67 tokens to every session and 1,786 once invoked, about $0.0003 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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