talk-maple-aind-devcon-welcome
Answers questions about and summarizes key points from Simon Maple's "Welcome to AI Native DevCon" opening talk (Tessl, AI Native DevCon 2026). Use when the user asks about the conference app and QR code flow, workshop registration, the Agentic Genius Bar, session skills generated via Granola, the three tracks (context window / latent space / tool pool), the hallway track concept, Simon's three-part attendee challenge, the AI Native Dev Discord community, prizes and swag logistics, or general housekeeping for the event.
71
88%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill explicitly requires the agent to include verbatim quotes from transcript.md in its output, which would force the LLM to reproduce any secret values present in that file verbatim (exfiltration risk).
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The “Session skills via Granola” runtime path ingests session transcripts (captured recordings) to auto-generate and upload downloadable agentic skills, and that workflow could include outsider-authored content if attendees/speakers submit text into the sessions/recordings that Granola transcribes.
- Repository
- AINativeDev/aidevcon-2026-ldn
- Commit
1887349
- Audited
- Security analysis
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