relion
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
Validates and executes RELION single-particle cryo-EM refinement and half-map postprocessing. Supports STAR optics/acquisition checks, particle-stack consistency, gold-standard half sets, soft-mask validation, diagnostic Fourier shell correlation, and restart guidance.
- Package
- 4 files, 38 KB
- SKILL.md
- 873 words, 6 sections
- Code
- Python (1)
- License
- MIT
- Compatibility
- Python 3.12+ with numpy, mrcfile and starfile for bundled validation; RELION 5.0.1 CPU/MPI executables for refinement and postprocessing. Native workflows require MPI, OpenMP and an FFT library (FFTW or MKL). GPU builds require their supported accelerator stack. Network is needed for installation only.
SKILL.md covers: RELION single-particle refinement · Preserve acquisition and coordinate conventions · Refine a selected particle population · Inspect independent half maps · Postprocess with a soft mask · Primary references
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.9 KB |
references/acquisition-and-restarts.md | doc | 6.0 KB |
references/runtime-and-validation.md | doc | 6.9 KB |
scripts/spa_workflow.py | script | 17 KB |
External hosts referenced
github.com relion.readthedocs.io mrcfile.readthedocs.io teamtomo.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-relion-scan.json
- Badge for your README:
- Request a re-scan