interpreting-culture-index
No security findings. Scanned 1 time, most recently 2026-02-06.
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
Use when interpreting Culture Index surveys, CI profiles, behavioral assessments, or personality data. Supports individual interpretation, team composition (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Handles PDF vision or JSON input.
- Package
- 34 files, 212 KB
- SKILL.md
- 1629 words
- Code
- Python (7)
Findings
No findings. SAFE
What is in the package
34 files, 212 KB. Show the list.
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 12 KB |
references/anti-patterns.md | doc | 8.1 KB |
references/conversation-starters.md | doc | 9.6 KB |
references/interview-trait-signals.md | doc | 8.1 KB |
references/motivators.md | doc | 6.6 KB |
references/patterns-archetypes.md | doc | 6.4 KB |
references/primary-traits.md | doc | 13 KB |
references/secondary-traits.md | doc | 8.3 KB |
references/team-composition.md | doc | 6.2 KB |
scripts/check_deps.py | script | 2.5 KB |
scripts/extract_pdf.py | script | 7.0 KB |
scripts/pyproject.toml | config | 422 B |
templates/burnout-report.md | doc | 3.2 KB |
templates/comparison-report.md | doc | 3.3 KB |
templates/hiring-profile.md | doc | 3.9 KB |
templates/individual-report.md | doc | 2.5 KB |
templates/predicted-profile.md | doc | 5.6 KB |
templates/team-report.md | doc | 3.1 KB |
workflows/analyze-team.md | doc | 5.1 KB |
workflows/coach-manager.md | doc | 8.8 KB |
workflows/compare-profiles.md | doc | 6.2 KB |
workflows/define-hiring-profile.md | doc | 7.6 KB |
workflows/detect-burnout.md | doc | 6.1 KB |
workflows/extract-from-pdf.md | doc | 3.8 KB |
workflows/interpret-individual.md | doc | 5.7 KB |
workflows/interview-debrief.md | doc | 7.5 KB |
workflows/mediate-conflict.md | doc | 9.9 KB |
workflows/plan-onboarding.md | doc | 9.2 KB |
workflows/predict-from-interview.md | doc | 8.0 KB |
scripts/culture_index/__init__.py | script | 564 B |
scripts/culture_index/constants.py | script | 3.6 KB |
scripts/culture_index/extract.py | script | 5.6 KB |
scripts/culture_index/models.py | script | 371 B |
scripts/culture_index/opencv_extractor.py | script | 16 KB |
Package contents recorded 2026-10-22 at commit a50696e20581. 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.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
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/trailofbits/skills
- Raw scan result: plugins-culture-index-skills-interpreting-culture-index-scan.json
- Badge for your README:
- Request a re-scan