segment-anything-model
SAM: zero-shot image segmentation via points, boxes, masks.
54
64%
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
Fix and improve this skill with Tessl
tessl review fix ./skills/mlops/models/segment-anything/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill includes runtime installation/fetch commands that pull and install remote code (e.g., pip install git+https://github.com/facebookresearch/segment-anything.git) and download model checkpoints (e.g., https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth) which are fetched at runtime and directly control the model's behavior or execute remote package code.
- Repository
- NousResearch/hermes-agent
- Commit
d0d116b
- Audited
- Security analysis
Is this your skill?
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.