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A security scanner for AI Agent Skills

Details

External ID
47714855
Source
HN
Company
—
Product
A security scanner for AI Agent Skills
Website domain
github.com
Launched
April 10, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.11182519280205655
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
ai cybersecurity and penetration testing
Vertical
Security
Function
Compliance & governance
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
security scanner for ai agent capabilities
Manually corrected
False

Could you build this?

Partial While basic regex or prompt-based scanning of tool definitions can be vibe-coded quickly, reliably detecting indirect prompt injection, privilege escalation, and tool misuse requires specialized security research.

What it would actually take: Building an effective security scanner requires AST parsing of agent manifests/code, static analysis taint tracking, and dynamic sandboxed execution to detect prompt injection and dangerous permissions. The stack typically combines Python/Tree-sitter for AST analysis with custom LLM-evaluator pipelines. Specialized expertise in LLM application security, prompt injection vulnerabilities, and static analysis is necessary.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 2241 launches clear the similarity bar, closest 8 shown.

Attention rank: #1972 of 2242 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 163 days after the earliest competitor.

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