pkpd-modeling
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, deriving exposure metrics, fitting PK or PD models, or evaluating dosing regimens. Triggers include "pharmacokinetics", "pharmacodynamics", "PK/PD", "NCA", "non-compartmental", "AUC", "Cmax", "lambda z", "half-life", "clearance", "volume of…
- Package
- 28 files, 276 KB
- SKILL.md
- 2108 words, 12+ sections
- Code
- Python (11)
- Allowed tools
ReadWriteEditBash- License
- MIT
- Compatibility
- Requires Python 3.12+ with NumPy 2+ and SciPy. No network access and no proprietary software. The estimation tools this skill orients you towards (NONMEM, Monolix, Phoenix, Simcyp, GastroPlus) are licensed separately and are never invoked by these scripts.
SKILL.md covers: Pharmacokinetic and Pharmacodynamic Modelling · When to use · Fix the question and conventions first · Environment and output · Workflow · 1. Non-compartmental analysis · 2. Individual compartmental fitting · 3. Population PK · 4. Regimen simulation · 5. Exposure-response and QT · 6. Bioequivalence · 7. Scaling and first-in-human orientation
Findings
No findings. SAFE
What is in the package
28 files, 276 KB. Show the list.
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 17 KB |
assets/nca-reporting-checklist.md | doc | 3.5 KB |
assets/popk-analysis-plan.md | doc | 5.0 KB |
references/antimicrobial-and-tdm.md | doc | 3.1 KB |
references/bioequivalence.md | doc | 3.2 KB |
references/dataset-standards.md | doc | 3.2 KB |
references/ddi-and-qt.md | doc | 3.0 KB |
references/nca-conventions.md | doc | 3.2 KB |
references/pbpk.md | doc | 3.5 KB |
references/pd-and-exposure-response.md | doc | 3.2 KB |
references/population-pk.md | doc | 3.5 KB |
references/regulatory-guidance.md | doc | 3.7 KB |
references/software-ecosystem.md | doc | 3.9 KB |
references/source-ledger.md | doc | 4.2 KB |
references/special-populations.md | doc | 3.0 KB |
references/structural-models.md | doc | 4.2 KB |
references/tmdd-and-biologics.md | doc | 3.3 KB |
scripts/_common.py | script | 12 KB |
scripts/_models.py | script | 27 KB |
scripts/allometry_and_fih.py | script | 16 KB |
scripts/bioequivalence.py | script | 18 KB |
scripts/check_popk_dataset.py | script | 18 KB |
scripts/ddi_static.py | script | 18 KB |
scripts/exposure_response.py | script | 16 KB |
scripts/fit_compartmental.py | script | 22 KB |
scripts/nca.py | script | 24 KB |
scripts/simulate_regimen.py | script | 17 KB |
scripts/tdm_bayes.py | script | 13 KB |
External hosts referenced
www.fda.gov pharmpy.github.io www.ema.europa.eu github.com cran.r-project.org docs.scipy.org www.iconplc.com arxiv.org nlmixr2.github.io numpy.org onlinehelp.certara.com www.idsociety.org www.pmda.go.jp database.ich.org doi.org export.arxiv.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-pkpd-modeling-scan.json
- Badge for your README:
- Request a re-scan