tiledbvcf SKILL.md skillA
tiledbvcf 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/tiledbvcf@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/tiledbvcf/SKILL.md- Versions recorded
- 6
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 13,900 bytes
- Repository stars
- 56,497
- License
- MIT
Stores and retrieves genomic variant calls with TileDB-VCF. Use for indexed single-sample VCF/BCF ingestion, incremental cohorts, region and sample queries, streaming results, allele statistics, QC, and VCF/BCF export locally or through TileDB Cloud.
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
# TileDB-VCF ## When to use Use for cohort variant storage, incremental sample ingestion, interval queries, and exporting subsets for downstream genomics. TileDB-VCF stores records; it does not perform joint variant calling, association testing, normalization, or population structure adjustment. Dataset size alone does not determine whether cloud execution is appropriate: benchmark the intended sample, region, and attribute workload. This skill targets released **TileDB-VCF 0.40.3**. Native Python/CLI checks used two synthetic single-sample VCFs on macOS ARM64. Cloud client **0.14.4** contracts were checked against its released wheel and mocked dispatch; hosted queries and jobs were not executed. See [installation and verification notes](references/verification.md). ## Install and verify the native stack The `tiledbvcf` Python distribution is not published on PyPI at this review. The official **`tiledb` Conda channel** supplies `tiledbvcf-py` 0.40.3 for macOS ARM64, macOS x86-64, and Linux x86-64, with Python 3.9-3.12 builds. `tiledb` on PyPI is TileDB-Py and does not install TileDB-VCF. Native Apple Silicon no longer requires forcing `CONDA_SUBDIR=osx-64`. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/tiledbvcf@sha256:38e55a6962e14637The 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_hhezxz3qnycin6op)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 13,900 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 14,560 B | A | view · diff |
| v1.1 | 2026-07-31 | 4226ca8 | 14,557 B | A | view · diff |
| v1.0 | 2026-07-31 | bd99c01 | 14,557 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 14,551 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 14,556 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 (13900 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_hhezxz3qnycin6op GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/tiledbvcf GET https://markdownregistry.com/api/v1/blob/38e55a6962e14637e82f60be8e53e6d87c78f1a7874b9f832f442a038942f7d5
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.