review-adc-analyte-strategy

review-adc-analyte-strategy is a skill for Claude Code from malekokour/clinpharm-pmx-skills. It costs 159 tokens per session (2,892 once invoked), scanned A, original, MIT.

A review of which substances are measured for an antibody-drug conjugate (ADC), a drug that links an antibody to a drug payload, and what each measurement means. It compares definitions and reported values across documents.

In plain words
What is it for?
Use it to create analyte definitions, map questions to required measurements, and check consistency across protocols, bioanalytical plans, and clinical study reports.
Why use it?
It helps uncover cases where terms such as total antibody, ADC, or free payload mean different things in different documents, even when the numbers appear consistent. It shows whether the measurements support the programme's exposure questions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the clinpharm-pmx-skills plugin — 145 skills shipped together

Good fit Use it to create analyte definitions, map questions to required measurements, and check consistency across protocols, bioanalytical plans, and clinical study reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy
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 malekokour/clinpharm-pmx-skills --skill review-adc-analyte-strategy
Clone the repo
git clone --depth 1 https://github.com/malekokour/clinpharm-pmx-skills

Made for: Claude Code.

Or install clinpharm-pmx-skills, the plugin that ships this one along with the rest of its 145 skills.

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 review-adc-analyte-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy/github.svg)](https://agentmods.dev/skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy)
Your own site
<a href="https://agentmods.dev/skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy"><img src="https://agentmods.dev/badge/skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy/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 review-adc-analyte-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy"><img src="https://agentmods.dev/badge/skills/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,892 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 $0.00159 $0.02892
Opus 5 $0.00079 $0.01446
Sonnet 5 $0.00032 $0.00578
Haiku 4.5 $0.00016 $0.00289

Measured 12d ago against content hash 048217bc5119, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

review-adc-analyte-strategy 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 1 executable file (scripts/analyte_consistency.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/review-adc-analyte-strategy/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADC Analyte Strategy Review

Check whether an antibody-drug conjugate's analyte set is defined consistently, measured where the programme's questions require it, and reported without internal contradiction across documents. Produce an analyte definition register, a question-to-analyte coverage matrix and a cross-analyte consistency table — for a qualified clinical pharmacologist to disposition.

The recurring failure in ADC programmes is not a wrong number. It is the same word meaning different things in different documents.

"Total antibody", "conjugated antibody", "ADC", "total payload", "free payload" — these are defined per programme, and a protocol, a bioanalytical plan and a CSR can each use one of them differently while every individual document reads correctly. This skill compares the definitions.

Why this is its own package

The nearest neighbour is review-csr-pk-consistency, which compares one value against its source. This is a different shape: the risk is that two documents agree numerically while disagreeing about what was measured.

Applying the six separability tests, four pass — distinct trigger (an ADC or multi-analyte question), distinct inputs (an analyte definition table and a bioanalytical plan), distinct neighbours (payload toxicology, DAR characterisation), distinct evolution (modality guidance moves independently). Merging requires all six to fail.

Who this is for

Clinical pharmacologists on ADC or multi-analyte programmes · reviewers checking a PK characterisation plan before it is executed · anyone reconciling ADC PK across a protocol, a bioanalytical plan and a study report.

When to use this skill

  • "Does this analyte set support the DAR-shift question the programme asks?"
  • "Are total antibody and conjugated payload defined the same way in the protocol and the CSR?"
  • "Check the analyte definitions across these three documents"
  • "Which exposure questions does this analyte set leave unanswerable?"
  • "Are the reported ADC and total-antibody parameters mutually consistent?"

Read the full file on GitHub · 255 lines

Files

What ships with it

7 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 · 255 lines · 159 tokens per session scan A 048217bc5119

Subscribe to this mod's changes

review-adc-analyte-strategy is a skill published in the GitHub repository malekokour/clinpharm-pmx-skills (6 stars, last pushed 11d ago), licensed MIT. It adds 159 tokens to every session and 2,892 once invoked, about $0.0008 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 2026-08-31.

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