tellurium

SAFE max severity LOWSkillSpector Caution 7 registry K-Dense-AI last scanned 2026-10-21 1 scan

Verdict safe, but 1 finding (1 low), mainly unauthorized tool use. Most recent scan 2026-10-21.

Findings1

Critical0

High0

Medium0

Low1

Analyzersstatic bytecode pipeline correlation behavioral trigger

Scanner version2.3.1

Second scanner: NVIDIA SkillSpector

VerdictCaution 7

Score7 / 100

Issues1

CategoriesMCP Least Privilege

Version2.12.0 (static)

Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.

What this skill does

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.

Package: 5 files, 28 KB
SKILL.md: 872 words, 8 sections
Code: Python (1)
License: MIT
Compatibility: Requires Python 3.11 with Tellurium 2.2.13.1, libRoadRunner 2.10.0, Antimony 3.2.0, python-libsbml 5.21.2, python-libsedml 2.0.34 and python-libcombine 0.2.20. Network is needed for installation only. Native wheels were tested on macOS ARM64. No credentials or external services.

SKILL.md covers: Tellurium kinetic experiments · When to use · Runtime · Workflow · Run the executable reference · The SBML branch was also exercised; replace these filenames with actual user inputs. · Artifacts · Primary references

Findings

LOW Script contacts a destination the documentation never mentions Unauthorized Tool Usestatic

Script contacts or configures 'identifiers.org' but the skill documentation never visibly mentions it. Undocumented network destinations can indicate behaviour the manifest and description do not disclose.

scripts/kinetic_experiment.py:168

Remediation: Document the destination in SKILL.md (or the manifest description) if it is intended, or remove the undisclosed network access. Organizations can list internal hosts in llm_analysis.trusted_reference_domains.

What is in the package

File	Kind	Size
`SKILL.md`	doc	7.9 KB
`assets/experiment.json`	config	195 B
`assets/first-order.ant`	other	464 B
`references/experiments.md`	doc	7.2 KB
`scripts/kinetic_experiment.py`	script	12 KB

External hosts referenced

github.com tellurium.readthedocs.io identifiers.org sed-ml.org

Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.

Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.

What we checked

Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
Bytecode analyzer.
Pipeline analyzer.
Correlation analyzer.
Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.

What we did not check

Runtime behaviour. The skill was not executed; findings come from reading its files.
Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
Content the analyzers cannot read: images, binaries, and some non-English text.
Known scanner bypass classes. See the methodology and limitations page.

Sources

Repository: https://github.com/K-Dense-AI/scientific-agent-skills
Raw scan result: skills-tellurium-scan.json
Badge for your README: ![skillscan.io](https://skillscan.io/badge/k-dense-ai-tellurium.svg)
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