sharp-edges
No security findings. Scanned 1 time, most recently 2026-02-06.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco found nothing and SkillSpector says do not install. One of them has a blind spot here; read the skill before trusting either. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. Use when reviewing API designs, configuration schemas, cryptographic library ergonomics, or evaluating whether code follows 'secure by default' and 'pit of success' principles. Triggers: footgun, misuse-resistant, secure defaults, API usability, dangerous configuration.
- Package
- 17 files, 124 KB
- SKILL.md
- 1420 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
ReadGrepGlob
SKILL.md covers: Sharp Edges Analysis · When to Use · When NOT to Use · Core Principle · Rationalizations to Reject · Sharp Edge Categories · 1. Algorithm/Mode Selection Footguns · 2. Dangerous Defaults · What happens when lifetime=0? · 3. Primitive vs. Semantic APIs · 4. Configuration Cliffs · One typo = disaster
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 11 KB |
references/auth-patterns.md | doc | 6.8 KB |
references/case-studies.md | doc | 8.0 KB |
references/config-patterns.md | doc | 9.5 KB |
references/crypto-apis.md | doc | 5.2 KB |
references/lang-c.md | doc | 5.5 KB |
references/lang-csharp.md | doc | 7.2 KB |
references/lang-go.md | doc | 6.5 KB |
references/lang-java.md | doc | 6.7 KB |
references/lang-javascript.md | doc | 6.8 KB |
references/lang-kotlin.md | doc | 6.6 KB |
references/lang-php.md | doc | 6.0 KB |
references/lang-python.md | doc | 6.5 KB |
references/lang-ruby.md | doc | 6.1 KB |
references/lang-rust.md | doc | 6.4 KB |
references/lang-swift.md | doc | 6.1 KB |
references/language-specific.md | doc | 13 KB |
External hosts referenced
apache.org xml.org evil.com
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 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-sharp-edges-skills-sharp-edges-scan.json
- Badge for your README:
- Request a re-scan