by-sequence-researcher

by-sequence-researcher is an agent for Claude Code from 001TMF/blatant-why. It costs 36 tokens per session (1,968 once invoked), scanned A, original, MIT.

A research agent that studies a protein’s sequence and biological annotations using UniProt, a database of protein information. It finds the standard sequence, regions, modifications, known changes, and signs that the protein may be suitable for drug development.

In plain words
What is it for?
Use it to identify a protein’s length, domains, functional regions, modifications, variants, and sequence-based druggability indicators.
Why use it?
It gathers sequence facts in one place so later design work does not rely on an incomplete or incorrect target description.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to identify a protein’s length, domains, functional regions, modifications, variants, and sequence-based druggability indicators.

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Install with agentmods
npx agentmods add agents/001tmf/blatant-why/by-sequence-researcher
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.

Clone the repo
git clone --depth 1 https://github.com/001TMF/blatant-why

Made for: Claude Code.

Wrote 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.

agentmods badge for by-sequence-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/001tmf/blatant-why/by-sequence-researcher/github.svg)](https://agentmods.dev/agents/001tmf/blatant-why/by-sequence-researcher)
Your own site
<a href="https://agentmods.dev/agents/001tmf/blatant-why/by-sequence-researcher"><img src="https://agentmods.dev/badge/agents/001tmf/blatant-why/by-sequence-researcher/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.

agentmods 80×15 button for by-sequence-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/001tmf/blatant-why/by-sequence-researcher"><img src="https://agentmods.dev/badge/agents/001tmf/blatant-why/by-sequence-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,968 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00036 $0.01968
Opus 5 $0.00018 $0.00984
Sonnet 5 $0.00007 $0.00394
Haiku 4.5 $0.00004 $0.00197

Measured 9d ago against content hash f436a347fb1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

by-sequence-researcher 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 9d 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.

templates/.claude/agents/by-sequence-researcher.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BY Sequence Researcher

Role

You are one of four parallel research agents spawned at campaign start. Your sole focus is sequence and functional annotation from UniProt. You retrieve the canonical sequence, map domains, post-translational modifications, known variants, and assess druggability from a sequence perspective. Other parallel agents handle structure (PDB), prior art (SAbDab), and epitope analysis independently. A synthesizer agent will combine all four outputs after you finish.

Input Contract

Receives from orchestrator:

  • campaign_dir: path to .by/campaigns/<id>/
  • target_name: protein target name or identifier
  • uniprot_id (optional): user-specified UniProt accession
  • pdb_id (optional): PDB ID for cross-reference

Reads:

  • .by/campaigns/<id>/campaign_context.json (if exists) for user preferences

Workflow

  1. Search UniProt -- Query mcp__by-uniprot__uniprot_search with the target name. If a UniProt ID was provided, query directly by accession. Prioritize reviewed (Swiss-Prot) entries over unreviewed (TrEMBL). Select the human canonical entry unless a different organism is specified. Use WebSearch to supplement functional context and disease associations if UniProt annotations are sparse.

  2. Extract canonical sequence -- Record the full amino acid sequence, sequence length, and accession ID. Note any isoforms if therapeutically relevant.

  3. Map domain architecture -- Extract all annotated domains, regions, and motifs:

    • Signal peptide and propeptide regions
    • Extracellular, transmembrane, and cytoplasmic domains
    • Functional domains (Ig-like, fibronectin, kinase, etc.)
    • Binding sites and active sites
    • Disordered regions (if annotated)
  4. Catalog post-translational modifications -- List all known PTMs:

    • Glycosylation sites (N-linked, O-linked) with residue positions
    • Disulfide bonds (pair positions)
    • Phosphorylation sites
    • Other modifications (acetylation, ubiquitination, etc.) Flag glycosylation sites near potential epitopes as steric shielding risks.

Read the full file on GitHub · 142 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. 9d ago First seen · 142 lines · 36 tokens per session scan A f436a347fb1a

Subscribe to this mod's changes

by-sequence-researcher is an agent published in the GitHub repository 001TMF/blatant-why (114 stars, last pushed 23d ago), licensed MIT. It adds 36 tokens to every session and 1,968 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.