testland/ai-test-generator
Generates tests from natural-language specs (acceptance criteria, user stories, requirements) using an LLM, with confidence scoring per test case (LLM self-assessment plus heuristics: assertion quality, naming, completeness), batching uncertain cases for human review, and integration with the team's existing test framework. Use when the user asks to generate unit tests from acceptance criteria, convert user stories to test cases, automate test creation from requirements, or augment a spec-driven test suite with AI-generated stubs that are then curated before merge.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The runtime path ingests outsider-authored free text via `input_yaml` acceptance criteria/spec content (e.g., `spec_source: "stories/LIN-1234.md"`), which is directly embedded into the LLM user message (`format_ac_prompt(ac)` / `messages` user content) in `scripts/ai-gen.py`, enabling indirect prompt injection from attacker-controlled acceptance criteria text.
- Audited
- Security analysis