caveman-optimize
Verdict safe, but 1 finding (1 info), mainly policy violation. Most recent scan 2026-10-22.
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
Turn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation. Use when asked to inspect or evaluate a Caveman optimization report. Needs explicit approval.
- Package
- 1 file, 4.6 KB
- SKILL.md
- 638 words, 6 sections
- Code
- None. Instructions only.
SKILL.md covers: Evaluate an optimization observation · 1. Read the exact observations · 2. Ask the operator to choose · 3. Design a candidate and paired eval · 4. Apply only the approved candidate · 5. Report observations, not savings
Findings
INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 4.6 KB |
Package contents recorded 2026-10-22 at commit bad48a0e1df5. 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/juliusbrussee/caveman
- Raw scan result: juliusbrussee-caveman-skills-caveman-optimize-scan.json
- Badge for your README:
- Request a re-scan