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 skills add thesecondfox/skill --skill bio-workflows-grn-pipelinegit clone --depth 1 https://github.com/thesecondfox/skillWrote 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/skills/thesecondfox/skill/bio-workflows-grn-pipeline)<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-grn-pipeline"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-grn-pipeline.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.03635 |
| Opus 5 | $0.00032 | $0.01818 |
| Sonnet 5 | $0.00013 | $0.00727 |
| Haiku 4.5 | $0.00006 | $0.00364 |
Grade A, and why
bio-workflows-grn-pipeline 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 — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Version Compatibility
Reference examples tested with: anndata 0.10+, pandas 2.2+, scanpy 1.10+, scipy 1.12+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Gene Regulatory Network Pipeline
"Infer gene regulatory networks from my single-cell data" → Orchestrate pySCENIC regulon inference (GRNBoost2, cisTarget, AUCell), CellOracle perturbation simulation, and regulon-based cell type characterization.
Complete workflow from processed single-cell data to regulon discovery and perturbation simulation.
Pipeline Overview
Processed AnnData (QC'd, normalized, clustered)
|
+----- RNA only? -------> Path A: pySCENIC (3-step)
| |
| v
| [1. GRNBoost2] ----> TF-target adjacencies
| |
| v
| [2. RcisTarget] ---> Regulon pruning (motif enrichment)
| |
| v
| [3. AUCell] -------> Regulon activity scoring
|
+----- Multiome? -------> Path B: SCENIC+
| |
| v
| [1. cisTopic] -----> Topic modeling on ATAC
| |
| v
| [2. pycistarget] --> Enhancer-TF mapping
| |
| v
| [3. SCENIC+] ------> eGRN construction
|
+---> [CellOracle Perturbation Simulation] (either path)
|
v
Perturbation scores + predicted cell state shifts
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 383 lines · 65 tokens per session scan A e21d7d136e83
bio-workflows-grn-pipeline is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 65 tokens to every session and 3,635 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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