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talk-tal-skills-security

Use when the user asks about Liran Tal's talk at AI Native DevCon on skills security — including questions about the lethal trifecta / toxic flows, the Snyk research finding ~30% of ~4,000 Glow skills had security issues, malicious skill examples (SkillGuard, fake Vercel deployment skill, "buy anything", invisible-character Trojan Source skills), the confused-deputy problem, acceptance fatigue, parallels to NPM supply-chain attacks, or how to think about reviewing and sandboxing AI agent skills.

71

Quality

88%

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SecuritybySnyk

Critical

Do not install without reviewing

The canonical home for this skill is ainativedev/aidevcon-2026-ldn

SKILL.md
Quality
Evals
Security

Security

1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.

Critical

E006: Malicious code pattern detected in skill scripts.

What this means

Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.

Why it was flagged

The corpus documents multiple explicit, deliberate malicious patterns in agent "skills" — data exfiltration (hidden PR/issues, paste services), credential and credit‑card harvesting, obfuscated/invisible‑character payloads, malicious scanner backdoors, and confused‑deputy installs — indicating definite malicious intent present in the materials.

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Repository
AINativeDev/aidevcon-2026-ldn
Audited
Security analysis
Snyk

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