pytdc SKILL.md skillA

pytdc 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.

Install it, pinned
mdr add k-dense-ai/scientific-agent-skills/pytdc@v1.4

Pins v1.4 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/pytdc/SKILL.md
Versions recorded
7
Latest version
v1.4, committed Oct 1, 2026
First version recorded
May 27, 2026
Size
14,674 bytes
Repository stars
56,497
License
MIT

Provides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.

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

# PyTDC (Therapeutics Data Commons)

Use the official `PyTDC` distribution (`import tdc`) to discover therapeutic ML
tasks, load approved datasets, apply task-appropriate splits, evaluate predictions,
and work with curated benchmark groups. Prefer package metadata over copied dataset
lists, and plan network/storage effects before constructing any loader.

## Verified snapshot

- Research date: **2026-10-01**
- PyPI stable: **PyTDC 1.1.15**, released 2025-03-31
- Package/source repository: `mims-harvard/TDC`
- Code license: MIT
- PyPI supplies only a source distribution and declares no `Requires-Python`
- The dependency graph makes **CPython 3.11** the reproducible target used here:
  `cellxgene-census==1.15.0` excludes Python 3.12, and PyTDC's constrained
  RDKit release has no CPython 3.13 wheel
- PyTDC imports deprecated `pkg_resources` at runtime. Setuptools 82 removed that
  module; pin the verified compatibility release **setuptools 80.9.0**.
- `tdc.readthedocs.io` still identifies itself as TDC 0.4.1; use it as API
  cross-reference, not as release-version evidence
- Upstream publishes no GitHub tags/releases or maintained changelog. Treat
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/pytdc@sha256:b7df3f50c1c618a4

The line at the top of this page pins the label v1.4, 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_bfixbmry7bj3cge4.svg)](https://markdownregistry.com/a/art_bfixbmry7bj3cge4)

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

Versions

The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-01 a92663a 14,674 BA view · diff
v1.32026-09-30 ce9e6e9 13,710 BA view · diff
v1.22026-09-02 1e5eeff 13,344 BA view · diff
v1.12026-07-26 b085e11 12,386 BA view · diff
v1.12026-07-23 825f800 12,389 BA view · diff
git:20260611.1b8fae32026-06-11 1b8fae3 12,720 BA view · diff
v1.02026-05-27 0936740 12,715 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 (14674 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

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_bfixbmry7bj3cge4
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/pytdc
GET https://markdownregistry.com/api/v1/blob/b7df3f50c1c618a47a81e994b2863ddd8adf695e795aa495c3a8fef5e78a0493

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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