Best use case
Use Reward Hacking Preventer when you need to design robust reward functions and evaluation frameworks that prevent reward hacking and specification gaming, especially when the work is driven by reward hacking and specification gaming.
AI/ML · Global library
Design robust reward functions and evaluation frameworks that prevent reward hacking and specification gaming
Best use case
Use Reward Hacking Preventer when you need to design robust reward functions and evaluation frameworks that prevent reward hacking and specification gaming, especially when the work is driven by reward hacking and specification gaming.
Trigger signals
Validation hooks
Install surface
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show reward-hacking-preventerUse
orchestrator-mcp skills export reward-hacking-preventer --to ./skillforge-packs
# copy the exported pack into your preferred agent environmentExport
cp -R skills/reward-hacking-preventer ./your-agent-skills/reward-hacking-preventer
# or open skills/reward-hacking-preventer/SKILL.md in a markdown-first clientFile patterns
Model preferences
Related skills
Design robust communication protocols for agent systems with message schemas, serialization, and delivery guarantees
Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization
Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.