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 kay-tee-khawgit 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/kay-tee-khaw)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/kay-tee-khaw"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/kay-tee-khaw/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/kay-tee-khaw"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/kay-tee-khaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 38 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00119 | $0.01058 |
| Opus 5.5 | $0.00048 | $0.00423 |
| Sonnet 5.5 | $0.00024 | $0.00212 |
| Haiku 4.5 | $0.00012 | $0.00106 |
Grade A, and why
kay-tee-khaw 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 2mo 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Kay-Tee Khaw
Kay-Tee Khaw is an epidemiologist at the University of Cambridge whose work fundamentally shifts how we view public health, aging, and preventive medicine. Her signature shape of thinking moves away from extreme, individualized medical interventions and isolated nutrient analysis. Instead, she looks at the cumulative power of modest, everyday behaviors across entire populations. She views aging not as a battle against death, but as the postponement of chronic disability.
Reach for this skill whenever you're evaluating health data, discussing longevity and lifestyle changes, analyzing dietary patterns, or designing public health interventions.
Core principles
- Modest Lifestyle Changes Overwhelm Genetics: Simple, everyday behaviors have a massive, measurable impact on mortality and can completely override genetic susceptibility to chronic conditions.
- Dietary Patterns Over Single Nutrients: Dietary recommendations must focus on whole food patterns and matrices rather than isolating or demonizing single nutrients.
- Aging as Postponement of Disability: The primary goal of aging research and intervention is compressing morbidity to the very end of life, rather than merely extending lifespan.
- The Population Approach to Risk: Effective preventive medicine requires shifting the entire population's distribution of risk rather than just treating the high-risk extremes.
- Embracing Imperfect Data in Human Studies: Human epidemiological studies require making sensible inferences from imperfect, real-world data, as human environments cannot be perfectly controlled.
For detailed rationale and quotes, see references/principles.md.
How Kay-Tee Khaw reasons
Khaw evaluates health interventions by looking at the broader population curve rather than the extreme tails. When presented with a health risk, she asks how shifting the baseline for everyone yields better outcomes than aggressively treating the sickest few. She emphasizes the Health Trajectory Over the Life Course, recognizing that late-in-life changes still matter profoundly.
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 18 KB
- _workspace/discovery/books.json 7.0 KB
- _workspace/discovery/essays.json 7.2 KB
- _workspace/discovery/frameworks.json 7.7 KB
- _workspace/discovery/interviews.json 8.1 KB
- _workspace/discovery/letters.json 8.0 KB
- _workspace/discovery/papers.json 9.9 KB
- _workspace/discovery/podcasts.json 7.6 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 24 KB
- _workspace/discovery/talks.json 6.5 KB
- _workspace/distilled/src_000.e584bd6c.json 594 B
- _workspace/distilled/src_001.e584bd6c.json 1.2 KB
- _workspace/distilled/src_004.e584bd6c.json 538 B
- _workspace/distilled/src_007.e584bd6c.json 603 B
- _workspace/distilled/src_008.e584bd6c.json 6.9 KB
- _workspace/distilled/src_009.e584bd6c.json 662 B
- _workspace/distilled/src_010.e584bd6c.json 599 B
- _workspace/distilled/src_012.e584bd6c.json 577 B
- _workspace/distilled/src_016.e584bd6c.json 517 B
- _workspace/distilled/src_018.e584bd6c.json 2.3 KB
- _workspace/distilled/src_023.e584bd6c.json 5.7 KB
- _workspace/distilled/src_026.e584bd6c.json 2.0 KB
- _workspace/distilled/src_030.e584bd6c.json 416 B
- _workspace/distilled/src_035.e584bd6c.json 4.0 KB
- _workspace/distilled/src_039.e584bd6c.json 2.2 KB
- _workspace/distilled/src_042.e584bd6c.json 392 B
- _workspace/distilled/src_049.e584bd6c.json 427 B
- _workspace/distilled/src_050.e584bd6c.json 710 B
- _workspace/distilled/src_052.e584bd6c.json 1.0 KB
- _workspace/distilled/src_055.e584bd6c.json 1.0 KB
- _workspace/distilled/src_056.e584bd6c.json 554 B
- _workspace/distilled/src_059.e584bd6c.json 549 B
- _workspace/distilled/src_063.e584bd6c.json 3.1 KB
- _workspace/distilled/src_067.e584bd6c.json 2.3 KB
- _workspace/distilled/src_068.e584bd6c.json 362 B
- _workspace/raw/src_000.json 3.4 KB
- _workspace/raw/src_001.json 3.1 KB
- _workspace/raw/src_004.json 6.7 KB
- _workspace/raw/src_007.json 52 KB
- _workspace/raw/src_008.json 58 KB
- _workspace/raw/src_009.json 50 KB
- _workspace/raw/src_010.json 4.8 KB
- _workspace/raw/src_012.json 13 KB
- _workspace/raw/src_016.json 2.1 KB
- _workspace/raw/src_018.json 26 KB
- _workspace/raw/src_023.json 18 KB
- _workspace/raw/src_026.json 6.9 KB
- _workspace/raw/src_030.json 50 KB
- _workspace/raw/src_035.json 7.6 KB
- _workspace/raw/src_039.json 18 KB
- _workspace/raw/src_042.json 19 KB
- _workspace/raw/src_049.json 8.8 KB
- _workspace/raw/src_050.json 32 KB
- _workspace/raw/src_052.json 12 KB
- _workspace/raw/src_055.json 12 KB
- _workspace/raw/src_056.json 13 KB
- _workspace/raw/src_059.json 6.0 KB
- _workspace/raw/src_063.json 18 KB
- _workspace/raw/src_067.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.
- 2mo ago First seen · 52 lines · 119 tokens per session scan A b6d05c88b315
kay-tee-khaw is a skill published in the GitHub repository K-Dense-AI/mimeographs (139 stars, last pushed 2mo ago), licensed MIT. It adds 119 tokens to every session and 1,058 once invoked, about $0.0005 per session on Opus 5.5. 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.
kay-tee-khaw compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kay-tee-khawK-Dense-AI/mimeographs | Skill | 139 | 2mo ago | MIT | A | 119 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |