tamarind SKILL.md skillA
tamarind 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/tamarind@v1.3Pins v1.3 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/tamarind/SKILL.md- Versions recorded
- 6
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jun 24, 2026
- Size
- 13,759 bytes
- Repository stars
- 56,497
- License
- MIT
Provides access to a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA…
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
# Tamarind Bio Tamarind runs molecular-design and structural-biology tools on managed compute: structure prediction, protein and antibody design, docking, binding-affinity prediction, MSA generation, and molecular dynamics. Use it when the user requests Tamarind, its REST API/MCP server, or cloud execution of these scientific tools. For local sequence processing or molecular descriptors, use a local library. ## Sources and review scope The REST contracts and public catalog were reviewed on **2026-09-30**. Examples are illustrative until validated against the user's account; this review did not run authenticated jobs or establish scientific accuracy for any model. - [API index](https://app.tamarind.bio/llms.txt) and [complete guide](https://app.tamarind.bio/llms-full.txt). - [Current OpenAPI](https://app.tamarind.bio/api/openapi.json) includes discovery, validation, jobs, files, and newer pipeline/custom-tool surfaces. [openapi.yaml](https://app.tamarind.bio/openapi.yaml) is also available. Check that needed paths exist: the merged spec can return HTTP 200 with only its classic surface when the backend spec cannot be fetched. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/tamarind@sha256:aa9bb0aa10acefa5The line at the top of this page pins the label v1.3, 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_pycznwqtw35kp2jc)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jun 24, 2026 and Oct 1, 2026, about one every 20 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 13,759 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 26,123 B | A | view · diff |
| v1.1 | 2026-07-31 | 4226ca8 | 25,676 B | A | view · diff |
| v1.0 | 2026-07-31 | bd99c01 | 25,676 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 25,673 B | A | view · diff |
| git:20260624.1cb3b1a | 2026-06-24 | 1cb3b1a | 25,848 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 (13759 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_pycznwqtw35kp2jc GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/tamarind GET https://markdownregistry.com/api/v1/blob/aa9bb0aa10acefa52621acd9ba06604997ed2f3d20533359f47d4b24dfdc9494
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.