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/exon-research/genomi/sequencenpx skills add exon-research/genomi --skill sequencegit clone --depth 1 https://github.com/exon-research/genomiWhat 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 | $0.00031 | $0.01189 |
| Opus 5 | $0.00015 | $0.00594 |
| Sonnet 5 | $0.00006 | $0.00238 |
| Haiku 4.5 | $0.00003 | $0.00119 |
Grade A, and why
sequence 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 3d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sequence
Use this skill when the user supplies a DNA sequence and asks for ORFs, translation, restriction sites, Kozak context, primer checks, local FASTA record matching, or simple bench-style sequence QA.
Contract
- These tools operate only on supplied sequence strings and explicitly supplied local reference FASTA files.
- They do not use active genome context or external services.
- Report deterministic sequence facts directly. Add biological interpretation only when the user supplies enough context or separate source evidence.
Tool Flow
- Use
sequence.analyzewhen more than one deterministic sequence fact may be needed. - Use
sequence.match_referencewhen a local FASTA can identify the supplied sequence before downstream reasoning. - Use
sequence.translatefor frame/strand translation. - Use
sequence.find_orfsfor ATG-to-stop ORF discovery. - Use
sequence.find_restriction_sitesfor common enzymes or custom motifs. - Use
sequence.classify_kozakfor ATG start-context checks. - Use
sequence.check_primersfor basic GC, Wallace Tm, self-complementarity, and optional template amplicons.
Examples:
sequence.translatewith{"sequence":"ATGGCCATTGTAATGGGCCGCTGA","frame":1}sequence.find_orfswith{"sequence":"AAATGAAATAG","min_aa":1}sequence.find_restriction_siteswith{"sequence":"GAATTCGGATCC","enzymes":["EcoRI","BamHI"]}sequence.match_referencewith{"sequence":"ATGAAATAA","reference_fasta":"refs.fa"}
Answering
Give the computed result and enough coordinates or frame details to make the answer auditable. Do not turn sequence utility output into medical or personal-genome interpretation.
Cross-Capability Synthesis
A scope-limited result from this capability is not a final user-facing answer when other Genomi capabilities can contribute orthogonal evidence to the same question. Returning "cannot answer" while applicable capabilities remain unexamined is a host-agent failure mode.
Tools
sequence.analyze
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.
- 3d ago First seen · 137 lines · 31 tokens per session scan A ffb29f6a60e9
sequence is a skill published in the GitHub repository exon-research/genomi (481 stars, last pushed 5d ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,189 once invoked, about $0.0002 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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