Audit-Verlauf

The 55 static findings are false positives caused mainly by Markdown code fences, documentation links, and an example SQLite path. One contextual concern remains: the skill recommends executing an unpinned npx package tagged latest, which creates a supply-chain trust risk but does not show malicious intent.

Most static alerts are Markdown code fence false positives, not Ruby shell execution. The confirmed risks are npx examples that can execute remote npm package code and a local AgentDB SQLite data path that may store sensitive experiences. No prompt injection or data exfiltration intent was found.

Most static findings are false positives from Markdown code fences, TypeScript examples, JSON examples, and reference links. I confirmed the Bash sections that direct users to run `npx agentdb@latest` because automated execution would run remote npm package code, and confirmed the local SQLite example as a data persistence risk. I found no prompt injection attempt, data exfiltration intent, or hidden executable file.

Static analysis flagged many external command and blocker patterns, but review shows most are Markdown fences, TypeScript examples, RL terminology, and public documentation links. The real risk is supply-chain exposure from repeated npx agentdb@latest command examples and local persistence in an AgentDB SQLite file, so publication is acceptable with a warning.

This skill contains only documentation (SKILL.md) with code examples shown in markdown. No executable code, scripts, or binaries are present. All 76 static findings are false positives caused by pattern matching against documentation content, markdown code fences, and algorithm names.

This skill contains only documentation (SKILL.md) with code examples shown in markdown. No executable code, scripts, or binaries are present. All 76 static findings are false positives caused by pattern matching against documentation content, markdown code fences, and algorithm names.

This skill contains only documentation (SKILL.md) describing AgentDB learning plugins. No executable code, scripts, or binaries are present. The documented behavior aligns with legitimate ML framework functionality.

This skill contains only documentation (SKILL.md) describing AgentDB learning plugins. No executable code, scripts, or binaries are present. The documented behavior aligns with legitimate ML framework functionality.

This skill contains only documentation (SKILL.md) describing AgentDB learning plugins. No executable code, scripts, or binaries are present. The documented behavior aligns with legitimate ML framework functionality.