sequence

sequence is a skill for Claude Code, Codex from exon-research/genomi. It costs 31 tokens per session (1,189 once invoked), scanned A, original, Apache-2.0.

A deterministic DNA-sequence utility for translating sequences, finding open reading frames, checking restriction sites and Kozak context, testing primers, and matching local FASTA records. FASTA is a common plain-text format for biological sequences.

In plain words
What is it for?
It helps with translation, ATG-to-stop open-reading-frame searches, enzyme-site checks, primer quality checks, start-context checks, and local reference matching.
Why use it?
It provides repeatable sequence facts from supplied DNA without using a person’s active genome or outside services.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/exon-research/genomi/sequence
Any agent
npx skills add exon-research/genomi --skill sequence
Clone the repo
git clone --depth 1 https://github.com/exon-research/genomi

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,189 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash ffb29f6a60e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

skills/sequence/SKILL.md · 137 lines

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.analyze when more than one deterministic sequence fact may be needed.
  • Use sequence.match_reference when a local FASTA can identify the supplied sequence before downstream reasoning.
  • Use sequence.translate for frame/strand translation.
  • Use sequence.find_orfs for ATG-to-stop ORF discovery.
  • Use sequence.find_restriction_sites for common enzymes or custom motifs.
  • Use sequence.classify_kozak for ATG start-context checks.
  • Use sequence.check_primers for basic GC, Wallace Tm, self-complementarity, and optional template amplicons.

Examples:

  • sequence.translate with {"sequence":"ATGGCCATTGTAATGGGCCGCTGA","frame":1}
  • sequence.find_orfs with {"sequence":"AAATGAAATAG","min_aa":1}
  • sequence.find_restriction_sites with {"sequence":"GAATTCGGATCC","enzymes":["EcoRI","BamHI"]}
  • sequence.match_reference with {"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

Read the full file on GitHub · 137 lines

Changes

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.

  1. 3d ago First seen · 137 lines · 31 tokens per session scan A ffb29f6a60e9

Subscribe to this mod's changes

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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