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 malekokour/clinpharm-pmx-skills --skill review-adc-analyte-strategygit clone --depth 1 https://github.com/malekokour/clinpharm-pmx-skillsWrote 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/malekokour/clinpharm-pmx-skills/review-adc-analyte-strategy)<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.
<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>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 | $0.00159 | $0.02892 |
| Opus 5 | $0.00079 | $0.01446 |
| Sonnet 5 | $0.00032 | $0.00578 |
| Haiku 4.5 | $0.00016 | $0.00289 |
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.
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 — 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?"
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.
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.
- 12d ago First seen · 255 lines · 159 tokens per session scan A 048217bc5119
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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