speculative-decoding
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.
60
70%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./backend/cli/skills/ml-inference/speculative-decoding/SKILL.mdW012: 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 instructs cloning external code repositories during setup (`git clone https://github.com/FasterDecoding/Medusa` and `git clone https://github.com/hao-ai-lab/LookaheadDecoding`), which are unverified third-party runtime external dependencies categorized as high risk.
- Repository
- synthetic-sciences/openscience
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4082a2e
- Audited
- Security analysis
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