linkfox-aigc-imagegen-cloth
Warn
Audited by Gen Agent Trust Hub on Aug 8, 2026
Risk Level: MEDIUMCOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill frequently utilizes
subprocess.runto coordinate its multi-stage pipeline, calling local helper scripts and downstream generation tools. Evidence is present inscripts/collection_pipeline/utils.py,scripts/collection_pipeline/single_task.py, andscripts/collection_pipeline/runner.py. - [REMOTE_CODE_EXECUTION]: The module
scripts/collection_pipeline/single_task.pyusesimportlib.import_moduleto load internal build scripts at runtime from computed filesystem paths, which represents dynamic code execution. Additionally, the skill's shared utilities inscripts/collection_pipeline/utils.pyexecute external scripts using thesys.executableenvironment. - [EXTERNAL_DOWNLOADS]: The skill's
SKILL.mdfile directs the agent to download and extract an onboarding package fromhttps://agent-files.linkfox.com/skills/linkfox-onboarding/release.zipif local maintenance documentation is missing. This domain is managed by the vendor (linkfox-ai). - [PROMPT_INJECTION]: The skill is susceptible to indirect prompt injection as it ingests untrusted data from user inputs and interpolates them into generative templates.
- Ingestion points: User-provided text fields such as
point,pointHint, andimageDescare processed inscripts/collection_pipeline/plan.pyand passed to downstream models. - Boundary markers: The prompt templates in
scripts/collection_pipeline/templates/utilize Markdown headers (e.g.,## 上下文) to separate data but do not implement hardened isolation mechanisms to prevent instruction override. - Capability inventory: The skill possesses capabilities to write files to the session directory (
save_image_plan.py) and execute shell commands (subprocess.run). - Sanitization: There is no evidence of input sanitization, filtering, or escaping of user-supplied strings before they are interpolated into the final system prompts.
Audit Metadata