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/001TMF/blatant-whyWrote 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/001tmf/blatant-why/by-sequence-researcher)<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.
<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>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 | $0.00036 | $0.01968 |
| Opus 5 | $0.00018 | $0.00984 |
| Sonnet 5 | $0.00007 | $0.00394 |
| Haiku 4.5 | $0.00004 | $0.00197 |
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.
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 identifieruniprot_id(optional): user-specified UniProt accessionpdb_id(optional): PDB ID for cross-reference
Reads:
.by/campaigns/<id>/campaign_context.json(if exists) for user preferences
Workflow
-
Search UniProt -- Query
mcp__by-uniprot__uniprot_searchwith 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. UseWebSearchto supplement functional context and disease associations if UniProt annotations are sparse. -
Extract canonical sequence -- Record the full amino acid sequence, sequence length, and accession ID. Note any isoforms if therapeutically relevant.
-
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)
-
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.
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.
- 9d ago First seen · 142 lines · 36 tokens per session scan A f436a347fb1a
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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.