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Auto Latest Research Insight Largescale

ASecurity

In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for t

  • 5 stars
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  • 0 copies
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  • Added October 4, 2026
ai-agents

Security analysis

A100/100

Scanned October 4, 2026

npx -y skills add openamer/openamer --skill auto-latest-research-insight-largescale --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: auto-latest-research-insight-largescale
description: In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for t
auto_generated: true
created: 2026-09-15
source_insight: "Latest research insight: Large-Scale Online Deanonymization with LLMs"
status: draft
fitness_score: 0
trials: 0
wins: 0
---

# Auto Latest Research Insight Largescale

## Trigger
Use when the agent encounters: In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68%

## 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.

Attribution

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