flowkit SKILL.md skillA
flowkit 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/flowkit@v1.1Pins v1.1 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/flowkit/SKILL.md- Versions recorded
- 2
- Latest version
- v1.1, committed Oct 1, 2026
- First version recorded
- Sep 30, 2026
- Size
- 8,749 bytes
- Repository stars
- 56,497
- License
- MIT
Analyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO.
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
# FlowKit ## When to use Use FlowKit to apply or build cytometry gating strategies, analyze batches of FCS samples, or reproduce supported FlowJo workspace analyses. It supports GatingML 2.0 and a **subset of FlowJo 10 features**. Import success alone does not establish agreement with FlowJo. The examples and bundled helper target **FlowKit 1.3.2 on Python 3.13**. Upstream supports additional Python versions; those were not exercised here. The helper and examples were tested on synthetic FCS data, including a public FlowJo 10.7.1 synthetic workspace fixture. They are not biological validation. ## Install Use a separate environment; FlowKit 1.3.2 requires NumPy >2 and pandas <3: ```bash uv venv --python 3.13 .venv-flowkit uv pip install --python .venv-flowkit/bin/python "flowkit==1.3.2" .venv-flowkit/bin/python -c "import flowkit; print(flowkit.__version__)" ``` The scientific package is BSD-3-Clause licensed; this skill is MIT licensed. ## Workflow 1. **Identify the analysis definition.** Use `Session` for a programmatic or GatingML strategy; use `Workspace` for FlowJo sample-specific gates, compensation, and transforms. Request the actual strategy or controls when …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/flowkit@sha256:47c4dcb907dc6ec1The line at the top of this page pins the label v1.1, 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_o7tc4grmfzl5xuiu)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Sep 30, 2026 and Oct 1, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1 latest | 2026-10-01 | a92663a | 8,749 B | A | view · diff |
| v1.0 | 2026-09-30 | 0cfee45 | 8,423 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 (8749 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_o7tc4grmfzl5xuiu GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/flowkit GET https://markdownregistry.com/api/v1/blob/47c4dcb907dc6ec15daa4bdf1855e9c96860ef1a558507bef0084d79c2d1c57c
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.