variant-analysis
Verdict safe, but 1 finding (1 low), mainly policy violation. Most recent scan 2026-02-08.
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
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.
- Package
- 13 files, 38 KB
- SKILL.md
- 782 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: Variant Analysis · When to Use · When NOT to Use · The Five-Step Process · Step 1: Understand the Original Issue · Step 2: Create an Exact Match · Step 3: Identify Abstraction Points · Step 4: Iteratively Generalize · Step 5: Analyze and Triage Results · Tool Selection · Key Principles · Critical Pitfalls to Avoid
Findings
LOW 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 |
|---|---|---|
METHODOLOGY.md | doc | 9.4 KB |
SKILL.md | doc | 5.5 KB |
resources/variant-report-template.md | doc | 1.3 KB |
resources/codeql/cpp.ql | other | 3.4 KB |
resources/codeql/go.ql | other | 2.0 KB |
resources/codeql/java.ql | other | 2.3 KB |
resources/codeql/javascript.ql | other | 1.7 KB |
resources/codeql/python.ql | other | 2.4 KB |
resources/semgrep/cpp.yaml | config | 2.7 KB |
resources/semgrep/go.yaml | config | 1.8 KB |
resources/semgrep/java.yaml | config | 2.0 KB |
resources/semgrep/javascript.yaml | config | 1.7 KB |
resources/semgrep/python.yaml | config | 2.0 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.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- 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-variant-analysis-skills-variant-analysis-scan.json
- Badge for your README:
- Request a re-scan