bio-admet-prediction SKILL.md skillA

bio-admet-prediction from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fridrichmethod/awesome-skills/bio-admet-prediction@git:20260517.81511a7

Pins git:20260517.81511a7 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fridrichmethod/awesome-skills
Path
skills/bio-admet-prediction/SKILL.md
Versions recorded
1
Latest version
git:20260517.81511a7, committed May 17, 2026
Size
7,031 bytes
Repository stars
15
License
a license file GitHub does not identify

Predicts ADMET properties using ADMETlab 3.0 API or DeepChem models. Estimates bioavailability, CYP inhibition, hERG liability, and 119 toxicity endpoints with uncertainty quantification. Filters for PAINS and other structural alerts. Use when filtering compounds for drug-likeness or prioritizing leads by predicted safety.

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

## Version Compatibility

Reference examples tested with: RDKit 2024.03+, pandas 2.2+

Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures

If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.

# ADMET Prediction

**"Predict the drug-likeness and toxicity of my compounds"** → Estimate ADMET properties (bioavailability, CYP inhibition, hERG liability, toxicity) for candidate molecules using the ADMETlab 3.0 API or RDKit PAINS/structural alert filters, producing a safety/drugability profile for lead prioritization.
- Python: ADMETlab 3.0 REST API via `requests`, `FilterCatalog` for PAINS (RDKit)

Predict absorption, distribution, metabolism, excretion, and toxicity properties.

## ADMETlab 3.0 API

**Goal:** Predict ADMET properties for a batch of compounds using a web API.

**Approach:** Submit SMILES to the ADMETlab 3.0 REST endpoint and parse the returned JSON into a DataFrame of 119 endpoint predictions with uncertainty estimates.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fridrichmethod/awesome-skills/bio-admet-prediction@sha256:0e32f4c1336e8fc5

The line at the top of this page pins the label git:20260517.81511a7, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_x2xwufh5iw447yls.svg)](https://markdownregistry.com/a/art_x2xwufh5iw447yls)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 17, 2026.

versioncommittedcommitsizeaudit
git:20260517.81511a7 latest2026-05-17 81511a7 7,031 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7031 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

GitHub

fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_x2xwufh5iw447yls
GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/bio-admet-prediction
GET https://markdownregistry.com/api/v1/blob/0e32f4c1336e8fc575388ba2f355489a900f38ee3c55780dba0cae87852f744a

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.

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