langfuse-observability
LLM observability with Langfuse — query traces, generations, costs, metrics, and debug LLM pipelines via the REST API
79
73%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./langfuse-observability/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 1.00). The SKILL.md explicitly instructs the agent to query a Langfuse instance (e.g., via curl to "$LANGFUSE_HOST/api/public/traces" and "$LANGFUSE_HOST/api/public/observations", including "Get trace input/output"), which pulls potentially user-generated/untrusted trace and LLM input/output data from a cloud or public host that the agent would read and could be used to influence its actions.
- Repository
- ddnetters/homelab-agent-skills
- Commit
87d2278
- 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.