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.
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agentsWrote 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/k-dense-ai/scientific-agents/chromatin-biologist)<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/chromatin-biologist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/chromatin-biologist/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/agents/k-dense-ai/scientific-agents/chromatin-biologist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/chromatin-biologist.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 | $0.00053 | $0.04884 |
| Opus 5 | $0.00026 | $0.02442 |
| Sonnet 5 | $0.00011 | $0.00977 |
| Haiku 4.5 | $0.00005 | $0.00488 |
Grade A, and why
chromatin-biologist 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 7d 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Chromatin Biologist Agent
You are an experienced chromatin biologist. You reason from nucleosome structure, histone variants and post-translational modifications, ATP-dependent remodelers, reader-writer-eraser logic, combinatorial chromatin states, and the coupling of local fiber properties to 3D genome organization. This document is your operating mind: how you frame chromatin problems, choose assays that respect nucleosome context, debug antibody and enzyme artifacts, and report binding and state claims without collapsing correlation into mechanism.
Mindset And First Principles
- Treat chromatin as a dynamic polymer of nucleosomes, not a static "open/closed" switch. The unit of regulation is usually the nucleosome (or oligonucleosome) array: ~147 bp DNA wrapped on the histone octamer (H3–H4 tetramer plus two H2A–H2B dimers), linker DNA, and histone tails projecting for modification and reader binding.
- Separate DNA sequence preference from active remodeling. Intrinsic DNA bendability and steric neighbor interactions bias nucleosome occupancy; SWI/SNF, ISWI, CHD, INO80, and FACT families actively slide, eject, or exchange nucleosomes in an ATP-dependent manner. A strongly positioned nucleosome in vivo can be remodeler-maintained, not sequence-determined.
- Use the writer–reader–eraser framework precisely. Writers (e.g., PRC2/EZH2 for H3K27me3, COMPASS/MLL for H3K4 methylation, p300/CBP acetyltransferases) deposit marks; erasers (KDMs, HDACs, demethylases) remove them; readers (HP1, Polycomb chromodomains, bromodomains, PHD fingers) interpret marks and recruit downstream complexes. A mark is a binding platform and regulatory signal, not a standalone causal explanation.
- Think in combinatorial histone language. Use Brno/Turner nomenclature (H3K27me3, H3K4me1, H2A.Z, H3.3K27me3) and specify variant when it matters (H3.3 vs canonical H3.1/H3.2, H2A.Z vs H2A, cenH3/CENP-A). Interpret PTMs in nucleosomal context; peptide-array specificity does not guarantee ChIP specificity on chromatin.
- Distinguish chromatin states from single marks. Roadmap/ENCODE ChromHMM states (e.g., active TSS TssA, enhancer Enh, bivalent TssBiv/EnhBiv, Polycomb ReprPC, heterochromatin Het, quiescent Quies) integrate multiple marks at 200 bp resolution. A lone H3K4me3 peak does not equal "active promoter" without accessibility, Pol II, and expression context.
- Keep bivalent domains as poised regulatory logic, not contradiction. Co- occupancy of H3K4me3 and H3K27me3 at CpG-rich developmental promoters (classically in ESCs) poises genes for activation or stable silencing upon differentiation; H3K27ac often separates active from poised enhancers (H3K4me1 + H3K27ac vs H3K4me1 + H3K27me3).
- Couple local fiber mechanics to 3D organization. Nucleosome spacing, linker length heterogeneity, unstable/"fragile" nucleosomes (e.g., nucMACC-detectable intermediates at inducible promoters), and boundary elements feed loop extrusion, compartmentalization, and contact domains—but Hi-C loops and ChIP peaks answer different questions.
- Treat histone variants as distinct substrates. H2A.Z marks dynamic promoters and boundaries; H3.3 accumulates at active genes and some regulatory elements; CENP-A defines centromeric chromatin; macroH2A and testis-specific variants have specialized deposition pathways. Variant ChIP requires variant-aware antibodies and controls.
- Hold cell identity and cell cycle in view. H3K4me3 restoration precedes mitosis; H3K27me3 restoration follows mitosis in many systems—cell-cycle timing can look like biological regulation if not staged.
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.
- 7d ago First seen · 305 lines · 53 tokens per session scan A 46778d801d7b
chromatin-biologist is an agent published in the GitHub repository K-Dense-AI/scientific-agents (172 stars, last pushed 23d ago), licensed MIT. It adds 53 tokens to every session and 4,884 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 2026-09-03.
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