pkpd-modeling SKILL.md skillA
pkpd-modeling from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/pkpd-modeling@v2.0Pins v2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/pkpd-modeling/SKILL.md- Versions recorded
- 6
- Latest version
- v2.0, committed Oct 1, 2026
- First version recorded
- Jul 28, 2026
- Size
- 17,574 bytes
- Repository stars
- 56,497
- License
- MIT
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…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Pharmacokinetic and Pharmacodynamic Modelling ## When to use Use for concentration-time analysis, structural and population PK workflows, exposure-response, regimen simulation, bioequivalence planning, DDI screening, and research TDM calculations. Version 2.0 rejects unsupported replicate/scaled BE and oral/infusion closed-form summaries; model-target dose and lowest-HED output labels replace clinical recommendation labels. This skill computes exploratory quantities and documents assumptions; it does not establish clinical safety, recommend a patient dose, or certify a regulatory submission. ## Fix the question and conventions first 1. Record the analyte (free/total drug, metabolite or complex), matrix, dose history, actual times, units, population, and assay/LLOQ. With dose in mg, volume in L and time in h, concentrations are mg/L and CL is L/h. Convert before fitting; mg/L equals micrograms/mL, not ng/mL. 2. Pre-specify the exposure metric: AUC(0-t), AUC(0-inf), and steady-state AUC(0-tau) differ. State BLQ handling, missing-data rules, terminal selection and observed/predicted Clast. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/pkpd-modeling@sha256:fc58aed600d0fe9dThe line at the top of this page pins the label v2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ixv2rn5r3kedisuz)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jul 28, 2026 and Oct 1, 2026, about one every 13 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0 latest | 2026-10-01 | a92663a | 17,574 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 22,347 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 21,997 B | A | view · diff |
| v1.1 | 2026-07-31 | 4226ca8 | 21,039 B | A | view · diff |
| v1.0 | 2026-07-31 | bd99c01 | 21,039 B | A | view · diff |
| v1.0 | 2026-07-28 | 4c90a52 | 21,036 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17574 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ixv2rn5r3kedisuz GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/pkpd-modeling GET https://markdownregistry.com/api/v1/blob/fc58aed600d0fe9de911176cb0f2a43e8df6bbae8c2260be6f8abade133a2837
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.