Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
42
42%
Does it follow best practices?
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/apify-actor-development/SKILL.mdThe canonical home for this skill is apify-actor-development in sickn33/agentic-awesome-skills
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The skill workflow involves creating and developing Apify actors, which includes fetching documentation via MCP tools or URLs (like llms.txt) and dealing with web crawling/scraped data which is explicitly warned about as untrusted input.
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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.