tellurium SKILL.md skillA
tellurium 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/tellurium@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/tellurium/SKILL.md- Versions recorded
- 2
- Latest version
- v1.1, committed Oct 1, 2026
- First version recorded
- Sep 30, 2026
- Size
- 8,100 bytes
- Repository stars
- 56,497
- License
- MIT
Simulates biochemical kinetic models from SBML or Antimony with Tellurium and libRoadRunner, checks model units, compares deterministic parameter perturbations, and exports and replays SBML plus SED-ML COMBINE archives. Use for reaction-network time courses, kinetic parameters, concentration dynamics and reproducible simulation experiments; steady-state constraint-based metabolic flux analysis belongs to cobrapy.
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
# Tellurium kinetic experiments ## When to use Use this skill for deterministic reaction-network trajectories and independent parameter conditions from a local model. The helper performs SBML consistency checks, CVODE integration and an actual COMBINE archive replay. It exports each condition's exact SBML and the SED-ML experiment rather than handing off an unrecorded notebook state. ## Runtime ```bash uv venv --python 3.11 kinetic-env uv pip install --python kinetic-env/bin/python tellurium==2.2.13.1 libroadrunner==2.10.0 \ antimony==3.2.0 python-libsbml==5.21.2 python-libsedml==2.0.34 python-libcombine==0.2.20 ``` The full workflow ran with these packages on macOS ARM64. It constructs SED-ML with libSEDML and archives with Tellurium/libCombine; PhraSEDML is not required by this helper. Headless runs can set `MPLBACKEND=Agg`. No plotting window is opened by the helper. The six pinned releases were rechecked against official PyPI metadata on 2026-10-01. RoadRunner's documentation site still displays an old version banner; the solver settings below were also checked against released 2.10.0 source and the installed native runtime. ## Workflow …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/tellurium@sha256:69faa97aa45e7ad4The 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_mse4cuu3cqninikp)
3 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 | 8,100 B | A | view · diff |
| v1.0 | 2026-09-30 | 9c044a1 | 6,619 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 (8100 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_mse4cuu3cqninikp GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/tellurium GET https://markdownregistry.com/api/v1/blob/69faa97aa45e7ad46515acd3e6497b044b7b44624ffd28c74fb40d97c74513a7
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.