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 K-Dense-AI/mimeographs --skill fei-fei-ligit clone --depth 1 https://github.com/K-Dense-AI/mimeographsWrote 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/k-dense-ai/mimeographs/fei-fei-li)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/fei-fei-li"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/fei-fei-li/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/k-dense-ai/mimeographs/fei-fei-li"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/fei-fei-li.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00125 | $0.01373 |
| Opus 5 | $0.00063 | $0.00687 |
| Sonnet 5 | $0.00025 | $0.00275 |
| Haiku 4.5 | $0.00013 | $0.00137 |
Grade A, and why
fei-fei-li 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.
This is a copy
100% identical to fei-fei-li — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Fei-Fei Li
Fei-Fei Li is a computer vision pioneer, creator of ImageNet, and a leading voice in Human-Centered AI and spatial intelligence. Her thinking is defined by a deep synthesis of evolutionary biology, cognitive science, and computer science. She views AI not as an independent, autonomous force, but as a civilizational tool that inherently reflects human values.
Her reasoning consistently bridges the gap between massive, audacious scientific questions (like how evolution developed vision) and pragmatic, human-centric applications (like ambient intelligence in healthcare). She rejects both techno-utopianism and doomerism in favor of "pragmatic optimism," focusing on the hard work of building guardrails and ensuring AI augments rather than replaces human dignity.
Reach for this skill whenever you're advising on AI product strategy, evaluating the ethical implications of technology, designing AI systems for the physical world (robotics/embodied AI), or helping researchers and leaders choose high-impact, "North Star" problems.
Core principles
- Augment, Don't Replace: AI must be designed to enhance human capabilities and preserve human dignity, rather than simply replacing human labor.
- Spatial Intelligence is the Next Frontier: True understanding requires moving beyond 2D text to perceive, reason, and act within 3D physical environments.
- Perception is for Action: The evolutionary purpose of perception is not passive observation, but active interaction and movement within an environment.
- AI is a Civilizational Tool: AI possesses no independent values; it only reflects the values of its human creators and must be governed accordingly.
- Intellectual Fearlessness: True creativity and scientific breakthroughs require the courage to embrace extreme difficulty and uncertainty.
For detailed rationale and quotes, see references/principles.md.
How Fei-Fei Li reasons
When evaluating an AI problem, Fei-Fei Li starts by looking at evolution and cognitive science. She asks: What did nature do? (e.g., vision took 540 million years to evolve and sparked the Digital Cambrian Explosion). She evaluates AI progress not just by language fluency, but by physical grounding, viewing current LLMs as Wordsmiths in the Dark.
What ships with it
60 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.
- _workspace/agents_output.e584bd6c.json 11 KB
- _workspace/clustered_corpus.e584bd6c.json 41 KB
- _workspace/critique_agents.json 3.4 KB
- _workspace/critique_agents.md 2.9 KB
- _workspace/critique_skill.json 3.3 KB
- _workspace/critique_skill.md 2.8 KB
- _workspace/discovery/books.json 11 KB
- _workspace/discovery/essays.json 9.9 KB
- _workspace/discovery/frameworks.json 8.8 KB
- _workspace/discovery/interviews.json 10 KB
- _workspace/discovery/letters.json 9.6 KB
- _workspace/discovery/papers.json 8.4 KB
- _workspace/discovery/podcasts.json 9.7 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 30 KB
- _workspace/discovery/talks.json 11 KB
- _workspace/distilled/src_000.e584bd6c.json 486 B
- _workspace/distilled/src_001.e584bd6c.json 1.6 KB
- _workspace/distilled/src_006.e584bd6c.json 1.1 KB
- _workspace/distilled/src_007.e584bd6c.json 457 B
- _workspace/distilled/src_009.e584bd6c.json 1.3 KB
- _workspace/distilled/src_012.e584bd6c.json 7.2 KB
- _workspace/distilled/src_013.e584bd6c.json 2.8 KB
- _workspace/distilled/src_015.e584bd6c.json 6.6 KB
- _workspace/distilled/src_016.e584bd6c.json 2.4 KB
- _workspace/distilled/src_018.e584bd6c.json 5.4 KB
- _workspace/distilled/src_020.e584bd6c.json 7.2 KB
- _workspace/distilled/src_022.e584bd6c.json 7.1 KB
- _workspace/distilled/src_023.e584bd6c.json 5.7 KB
- _workspace/distilled/src_026.e584bd6c.json 2.6 KB
- _workspace/distilled/src_027.e584bd6c.json 11 KB
- _workspace/distilled/src_029.e584bd6c.json 5.5 KB
- _workspace/distilled/src_036.e584bd6c.json 6.6 KB
- _workspace/distilled/src_037.e584bd6c.json 653 B
- _workspace/distilled/src_039.e584bd6c.json 1.8 KB
- _workspace/distilled/src_041.e584bd6c.json 3.1 KB
- _workspace/distilled/src_043.e584bd6c.json 514 B
- _workspace/distilled/src_046.e584bd6c.json 429 B
- _workspace/distilled/src_048.e584bd6c.json 5.2 KB
- _workspace/distilled/src_051.e584bd6c.json 433 B
- _workspace/distilled/src_054.e584bd6c.json 7.6 KB
- _workspace/quote_verification.json 25 KB
- _workspace/quote_verification.md 2.0 KB
- _workspace/raw/src_000.json 1.6 KB
- _workspace/raw/src_001.json 3.1 KB
- _workspace/raw/src_006.json 2.7 KB
- _workspace/raw/src_007.json 1.7 KB
- _workspace/raw/src_009.json 4.6 KB
- _workspace/raw/src_012.json 22 KB
- _workspace/raw/src_013.json 5.1 KB
- _workspace/raw/src_015.json 31 KB
- _workspace/raw/src_016.json 37 KB
- _workspace/raw/src_018.json 11 KB
- _workspace/raw/src_020.json 22 KB
- _workspace/raw/src_022.json 34 KB
- _workspace/raw/src_023.json 50 KB
- _workspace/raw/src_026.json 3.2 KB
- _workspace/raw/src_027.json 119 KB
- _workspace/raw/src_029.json 17 KB
- _workspace/raw/src_036.json 36 KB
- _workspace/raw/src_037.json 50 KB
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 · 79 lines · 125 tokens per session scan A c277bca9a4d4
fei-fei-li is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 23d ago), licensed MIT. It adds 125 tokens to every session and 1,373 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to fei-fei-li, differing in 2 lines, and is treated as a copy.
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