marine-carbonate-chemistry
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
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
Solves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle factors; lab-to-in-situ temperature and pressure corrections; and measurement uncertainty propagation. Applies to carbonate-system calculations, not general aqueous speciation or air-sea gas-flux estimation.
- Package
- 4 files, 32 KB
- SKILL.md
- 1077 words, 8 sections
- Code
- Python (1)
- License
- MIT
- Compatibility
- Requires Python 3.13 with PyCO2SYS 1.8.3.4 and NumPy. Network access is needed only to install packages or obtain external data; bundled calculations run locally without credentials.
SKILL.md covers: Marine Carbonate Chemistry · When to use · Establish the measurement contract · Install · Workflow · Worked example: closed-sample condition correction · Uncertainty and interpretation · Sources and validation boundary
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 9.3 KB |
references/chemistry-decisions.md | doc | 6.4 KB |
references/input-and-results.md | doc | 4.7 KB |
scripts/solve_carbonate.py | script | 12 KB |
External hosts referenced
pyco2sys.readthedocs.io doi.org github.com mvdh.xyz
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.
Environment variables referenced
SKILL_DIR
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-marine-carbonate-chemistry-scan.json
- Badge for your README:
- Request a re-scan