AI Hub Model Run
AI Hub Model Run is an MLOps & model serving skill for AI agents, published by qualcomm in the qai-appbuilder repository on GitHub. Skillspace rates AI Hub Model Run F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Download pre-exported models from Qualcomm AI Hub and run inference on-device. Supports QNN_CONTEXT_BINARY, QNN_DLC, VOICE_AI, ONNX, TFLITE formats. All on-device (NPU/HTP) inference runs through qai_appbuilder (QNNContext), loading the QNN context binary (.bin) or .dlc. Standard onnxruntime is used only for an optional CPU baseline comparison.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 184
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
- hidden/zero-width/bidi unicode chars
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.