sc-drug-response

sc-drug-response is a skill for Claude Code, Codex from TianGzlab/OmicsClaw. It costs 80 tokens per session (1,784 once invoked), scanned A, original, Apache-2.0.

A single-cell RNA sequencing analysis that ranks how sensitive each cell cluster may be to different drugs, using gene-expression signatures or pretrained response models.

In plain words
What is it for?
Use it to produce drug rankings, predicted response tables, and cluster-level sensitivity visualisations from labelled single-cell data.
Why use it?
It provides a way to compare likely drug responses across cell groups when direct drug experiments are unavailable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to produce drug rankings, predicted response tables, and cluster-level sensitivity visualisations from labelled single-cell data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tiangzlab/omicsclaw/sc-drug-response
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.

Any agent
npx skills add TianGzlab/OmicsClaw --skill sc-drug-response
Clone the repo
git clone --depth 1 https://github.com/TianGzlab/OmicsClaw

Made for: Claude Code, Codex.

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 sc-drug-response

README.md
[![agentmods](https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/sc-drug-response/github.svg)](https://agentmods.dev/skills/tiangzlab/omicsclaw/sc-drug-response)
Your own site
<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/sc-drug-response"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/sc-drug-response/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 sc-drug-response

Your own site · 80×15
<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/sc-drug-response"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/sc-drug-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,784 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 3
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
  • medium Rogue Agent · line 81
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00080 $0.01784
Opus 5 $0.00040 $0.00892
Sonnet 5 $0.00016 $0.00357
Haiku 4.5 $0.00008 $0.00178

Measured 6d ago against content hash 3f6ea49d4098, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

sc-drug-response 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (sc_drug_response.py, tests/test_sc_drug_response_methods.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/singlecell/scrna/sc-drug-response/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sc-drug-response

When to use

The user has a clustered / labelled scRNA AnnData with HGNC-symbol gene names and wants per-cluster drug sensitivity rankings. Two methods:

  • simple_correlation (default) — built-in lightweight scorer: correlates per-cluster mean expression with drug-target signatures from _BUILTIN_DRUG_TARGETS. No external models, no CaDRReS install.
  • cadrres — runs CaDRReS-Sc against pretrained GDSC or PRISM models. Requires the CaDRReS-Sc script directory plus model files locally (cache at ~/.cache/omicsclaw/cadrres/<drug-db>/).

For genetic perturbation predictions (KO / KD / overexpression on unperturbed data) use sc-in-silico-perturbation. For real Perturb-seq classification use sc-perturb.

Inputs & Outputs

Inputs

  • Modalities: scrna
  • File types: .h5ad
  • Requires a preprocessed AnnData (X normalised, PCA/neighbours present)

Outputs

  • tables/IC50_prediction.csv
  • tables/PRISM_prediction.csv
  • tables/cell_metadata.csv
  • tables/drug_rankings.csv
  • tables/masked_drugs.csv
  • figures/drug_cluster_heatmap.png
  • figures/drug_sensitivity_umap.png
  • figures/top_drugs_bar.png
  • analysis_summary.txt
  • processed.h5ad
  • report.md
  • result.json
  • Processed AnnData (saves_h5ad) — adds obs: drug_score_<drug>

Flow

  1. Load AnnData; resolve --cluster-key (auto-pick from leiden / louvain / cell_type / first categorical if unset).
  2. Preflight: cluster_key exists + has ≥ 2 groups (warn-only on < 2); gene-name overlap with drug targets.
  3. For cadrres: validate --model-dir has the GDSC / PRISM files + locate the CaDRReS-Sc script directory; run via Drug_Response wrapper.
  4. For simple_correlation: compute per-cluster expression means, correlate against _BUILTIN_DRUG_TARGETS, rank drugs per cluster.
  5. Detect degenerate output (empty rankings / all-NaN scores) → print multi-action fix message; do NOT raise.
  6. Render bar / heatmap / UMAP figures, write tables/drug_rankings.csv, save report.md, result.json.

Read the full file on GitHub · 120 lines

Files

What ships with it

6 files 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.

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. 6d ago First seen · 120 lines · 80 tokens per session scan A 3f6ea49d4098

Subscribe to this mod's changes

sc-drug-response is a skill published in the GitHub repository TianGzlab/OmicsClaw (160 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,784 once invoked, about $0.0004 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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