docs: add behavior control positioning with safety evidence#348
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docs: add behavior control positioning with safety evidence#348
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AgentGuard leads with cost control today. Three recent data points (Mythos Preview government emergency, Nature peer-reviewed deception evidence, arXiv war games nuclear escalation) validate the thesis that static rule-based guards are the correct architecture for agent safety. This adds a "Why static guards" section making that case. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Pull request overview
Adds a new documentation section positioning AgentGuard’s static, deterministic guards as “behavior control” and introduces supporting safety-related evidence in the README surfaces (GitHub + PyPI).
Changes:
- Add a new “Why static guards” section describing behavior-control framing and deterministic guard benefits.
- Cite three safety-related evidence points (Mythos Preview, a Nature paper, and an arXiv war-games preprint) in both README.md and the generated PyPI README.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
README.md |
Adds a new “Why static guards” section to reframe the product and list safety evidence. |
sdk/PYPI_README.md |
Updates the generated PyPI README to include the same new section content. |
Address Copilot review on PR #348: - Add (source) links to Mythos Preview, Nature, and arXiv war games citations - Remove '(arXiv 2602.14740)' inline ref in favor of explicit link - Apply to both README.md and sdk/PYPI_README.md
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Summary
Data points cited
Test plan
🤖 Generated with Claude Code