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-adme-routes-eliminationgit 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-adme-routes-elimination)<a href="https://agentmods.dev/skills/malekokour/clinpharm-pmx-skills/review-adme-routes-elimination"><img src="https://agentmods.dev/badge/skills/malekokour/clinpharm-pmx-skills/review-adme-routes-elimination/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-adme-routes-elimination"><img src="https://agentmods.dev/badge/skills/malekokour/clinpharm-pmx-skills/review-adme-routes-elimination.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 | $0.00125 | $0.02453 |
| Opus 5 | $0.00063 | $0.01226 |
| Sonnet 5 | $0.00025 | $0.00491 |
| Haiku 4.5 | $0.00013 | $0.00245 |
Grade A, and why
review-adme-routes-elimination 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Adme Routes Elimination
ADME and routes of elimination evidence pack — bounded review / prepare / structure workflow for the L3 task ADME and routes of elimination (Band A · Scientific foundations).
Skills review, reconcile, verify, structure and flag. Qualified humans decide, approve, sign off, submit and act.
Four-box contract
| Box | Content |
|---|---|
| Trigger | Please review the materials for ADME and routes of elimination and produce a sourced finding register — do not decide the clinical or regulatory outcome. |
| Input | Primary package for ADME and routes of elimination plus the supporting pack in Required inputs |
| Output | Source-linked finding register with denominators; gap / contradiction flags; refuse list |
| Refuses | Decide the outcome of ADME and routes of elimination; approve or submit related documents; select or adjust a dose; speak for the sponsor to an agency |
Who this is for
Clinical pharmacology or pharmacometrics practitioners working on Scientific foundations who need a repeatable, sourced pass over ADME and routes of elimination — not a decision and not a filing.
When to use this skill
- "Please review the materials for ADME and routes of elimination and produce a sourced finding register — do not decide the clinical or regulatory outcome."
- "What is evidenced, missing, or inconsistent for: ADME and routes of elimination?"
- "Trace every material statement about ADME and routes of elimination to a locator."
- "Prepare the review pack for ADME and routes of elimination before a meeting or QC cut."
When NOT to use this skill
| Request | Why not this skill | Where it belongs |
|---|---|---|
| Decide clinical significance, dose, or labelling outcome | Human decision | Qualified clinical pharmacologist / labelling owner |
| Approve, sign off, or submit | Human authority | Accountable owner / signatory |
| A different L3 neighbour sharing vocabulary only | Wrong grain or human-owned | the neighbour skill named by the router |
| Decide clinical significance or dose | Wrong grain or human-owned | qualified clinical pharmacologist |
| Run or re-fit a model as the primary ask | Modelling execution | Modelling environment + human modeller |
What ships with it
2 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 · 230 lines · 125 tokens per session scan A cfa5faeb6e64
review-adme-routes-elimination is a skill published in the GitHub repository malekokour/clinpharm-pmx-skills (6 stars, last pushed 11d ago), licensed MIT. It adds 125 tokens to every session and 2,453 once invoked, about $0.0006 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.
Other skills, from other repositories
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons. Invoke for any question about IDC collections, cancer imaging datasets, DICOM data access, radiology (CT, MR, PET) or pathology AI training sets, metadata queries, visualization, or license checks — even when the user doesn't explicitly…
lab-hardware-cad
Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research…
statistical-analysis
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required…
diffdock
DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.
hypothesis-generation
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Use when turning observations or preliminary findings into transparent, testable research plans without treating…
latex-posters
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.