This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
69
61%
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 ./skills/project-development/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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.
Third-party content exposure detected (high risk: 0.90). The skill's canonical pipeline and documented case study explicitly fetch and ingest open web content (e.g., SKILL.md and references/case-studies.md describe downloading Hacker News pages and comments via HTTP/Algolia in the "Acquire" stage and the pipeline_template's stage_acquire which fetches data from APIs/HTTP), meaning untrusted, user-generated third‑party content is read and then used to build prompts and drive processing and decisions.
3ab8c94
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