talk-luebken-embedding-pi-coding-agent
Use when the user asks about Matthias Lübken's talk "A Piece of PI – Embedding The OpenClaw Coding Agent In Your Product" — including questions about embedding Pi (pi.dev) or coding agents in products, the OpenClaw after-sales prototype, Pi's "radical extensibility" and lifecycle hook extensions, tool design for agents ("don't make your agent guess"), agent sessions as event-log trees, malleable software (Ink & Switch), or applying his primitives (agent setup, tools, extensions, sessions) and patterns (workflow, chat, malleable) to current agent-building work.
71
88%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
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
In the OpenClaw/after-sales prototype runtime path, the workflow reads customer-supplied free text from an email inbox (“we have an email inquiry coming in… we have an email inbox … once an email comes in, it looks for a case…”) and uses it as input to the embedded coding agent’s tools/sessions.
- Repository
- AINativeDev/aidevcon-2026-ldn
- Commit
1887349
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.