checkpoint-biomarkers

checkpoint-biomarkers is a skill for Claude Code, Codex from zamushwani/biomedical-ai-skills. It costs 0 tokens per session (3,252 once invoked), scanned A, original, MIT.

A guide to measuring and interpreting biomarkers that may predict response to cancer immunotherapy. It separates results from laboratory tests, such as PD-L1 staining, from scores that can be calculated from gene-expression data.

In plain words
What is it for?
Use it to assess PD-L1, tumour mutational burden, microsatellite instability, and RNA-based scores such as IFN-gamma, TIS, and TIDE, including when combining several biomarkers.
Why use it?
It prevents treating different kinds of measurements as interchangeable or claiming that RNA data can produce a laboratory staining score. This helps avoid unsupported predictions about treatment response.

Skill for Claude CodeCodex

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

Good fit Use it to assess PD-L1, tumour mutational burden, microsatellite instability, and RNA-based scores such as IFN-gamma, TIS, and TIDE, including when combining several biomarkers.

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Install with agentmods
npx agentmods add skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers
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 zamushwani/biomedical-ai-skills --skill checkpoint-biomarkers
Clone the repo
git clone --depth 1 https://github.com/zamushwani/biomedical-ai-skills

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 checkpoint-biomarkers

README.md
[![agentmods](https://agentmods.dev/badge/skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers/github.svg)](https://agentmods.dev/skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers)
Your own site
<a href="https://agentmods.dev/skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers"><img src="https://agentmods.dev/badge/skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers/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 checkpoint-biomarkers

Your own site · 80×15
<a href="https://agentmods.dev/skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers"><img src="https://agentmods.dev/badge/skills/zamushwani/biomedical-ai-skills/checkpoint-biomarkers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,252 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 $0.00000 $0.03252
Opus 5 $0.00000 $0.01626
Sonnet 5 $0.00000 $0.00650
Haiku 4.5 $0.00000 $0.00325

Measured 12d ago against content hash ae5e0d95d533, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

checkpoint-biomarkers 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (tests/run_all.py, tests/validate_scoring.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/checkpoint-biomarkers/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Checkpoint Biomarkers

Predictive biomarkers for immune checkpoint blockade: what PD-L1 IHC scores are and why expression data cannot produce them, tumour mutational burden, microsatellite instability, and the expression signatures (IFN-gamma, TIS, TIDE) that are computable from RNA. Written to keep the assay-derived biomarkers and the expression-derived ones apart, because conflating them is the common failure.

When to Use This Skill

Activate when the user requests:

  • PD-L1 status, CPS, TPS, or IC/TC scoring
  • TMB-high classification for checkpoint inhibitor eligibility
  • MSI-high or dMMR determination
  • IFN-gamma, Tumour Inflammation Signature, or TIDE scoring
  • Predicting or stratifying response to anti-PD-1, anti-PD-L1, or anti-CTLA-4
  • Combining several checkpoint biomarkers into one call

Inputs

Data Type Form Produces
Stained slide PD-L1 IHC, a named antibody clone CPS, TPS, IC/TC — only from here
Somatic variants VCF or MAF plus panel definition TMB
Reads or variants BAM, or MSI marker loci MSI status
Bulk expression genes x samples, TPM or normalized counts IFN-gamma, TIS, TIDE
Clinical response, PFS, OS evaluation, never input to the score

The Division That Matters

Two families of checkpoint biomarker, and they are not interchangeable.

ASSAY-DERIVED, from a slide or a sequencer
  PD-L1 CPS / TPS      IHC. Requires counting stained cells.
  TMB                  mutations per megabase. Panel-dependent.
  MSI / dMMR           marker instability or MMR protein loss.

EXPRESSION-DERIVED, computable from RNA
  IFN-gamma signature  mean of a small gene set
  TIS / GEP            18-gene inflammation signature
  TIDE                 dysfunction and exclusion modelling

Most confusion in this area comes from treating a member of the first group
as though it belonged to the second.

CPS and TPS Cannot Be Computed From Expression

This is the correction worth stating first, because the request arrives
often and sounds reasonable.

  TPS = (PD-L1-stained viable TUMOUR cells / total viable tumour cells) x 100
  CPS = (PD-L1-stained tumour cells + lymphocytes + macrophages
         / total viable tumour cells) x 100

Both are counts of individual stained cells on an IHC slide, and CPS
requires telling a stained tumour cell apart from a stained lymphocyte or
macrophage. That is a morphological judgement at cellular resolution.

Bulk RNA gives you one CD274 value per sample. It has no cells in it, so it
cannot enumerate them and cannot assign them to a compartment. CD274 mRNA
does correlate with PD-L1 IHC, and reasonably well, but a correlation is not
a score: you cannot recover CPS from it, and a "CPS estimated from
expression" is a number with no regulatory or clinical meaning.

What you CAN honestly do with expression:
  - report CD274 (PD-L1) expression as its own continuous variable
  - test its association with outcome
  - state that it is a correlate of, not a substitute for, IHC

If the analysis requires CPS or TPS, it requires a stained slide scored by a
pathologist. Say so rather than approximating.

Read the full file on GitHub · 279 lines

Files

What ships with it

4 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. 12d ago First seen · 279 lines · 0 tokens per session scan A ae5e0d95d533

Subscribe to this mod's changes

checkpoint-biomarkers is a skill published in the GitHub repository zamushwani/biomedical-ai-skills (1 stars, last pushed 13d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,252 tokens. 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 2026-08-31.

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