model-merging
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.
67
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Low
Low-risk findings worth noting
The canonical home for this skill is model-merging in OpenLAIR/dr-claw
Low
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 explicit install/runtime commands that clone and install remote code—git clone https://github.com/arcee-ai/mergekit.git (then pip install -e .) in SKILL.md and git clone https://github.com/lm-sys/FastChat (then pip install -e .) in references/evaluation.md—so these URLs fetch and install/execute external code that the skill relies on.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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