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Auto Security Learning Ai Supply

ASecurity

MetaBackdoor trains the model to activate hidden behavior when the total token count crosses a speci

  • 5 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added October 4, 2026
ai-agentssecurity

Security analysis

A100/100

Scanned October 4, 2026

npx -y skills add openamer/openamer --skill auto-security-learning-ai-supply --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: auto-security-learning-ai-supply
description: MetaBackdoor trains the model to activate hidden behavior when the total token count crosses a speci
auto_generated: true
created: 2026-09-18
source_insight: "Security learning (AI supply chain model weight backdoor detection best practices 2026): What should"
status: draft
fitness_score: 0
trials: 0
wins: 0
---

# Auto Security Learning Ai Supply

## Trigger
Use when the agent encounters: MetaBackdoor trains the model to activate hidden behavior when the total token count crosses a speci

## Verification
- [ ] The skill produces the expected output for its domain
- [ ] No errors in execution
- [ ] Insight quality: actionable and specific

## Notes
Auto-generated from internet insight (Knowledge-to-Action pipeline).
Darwin will trial this skill; it gets promoted only if it wins arena fights.

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