Create a loop that runs a prompt now and follows up either on a fixed schedule or through self-paced wakeups. Usage - /loop check the build, /loop 5m check the build, /loop check the PR every 30m. /loop list to show jobs, /loop clear to cancel all.
68
83%
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.
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 required workflow reads the task list body text from an on-disk `loop.md` file (either project workspace `.qwen/loop.md` when trusted, or user `$HOME/.qwen/loop.md`), and that file’s contents are then embedded into the model-facing prompt text (`LoopTickResolver.resolve()` → `readLoopTaskFile()` → `result.content` → `modelText`), so any outsider-authored text in those files becomes LLM context (notably project `.qwen/loop.md` can be outsider-controlled when the workspace is trusted).
8878264
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.