AI/ML●●●Banger
Signed receipts for agent actions
Ed25519 signed receipts solve AI agent accountability across org boundaries.
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jithinraj
203mo ago
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Tamper-proof execution sandbox for trustworthy AI coding-agent benchmarks
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Proctor – signed isolation bundles for AI coding-agent benchmarks
by dp12·Jun 23, 2026·3 points·0 comments
AI Analysis
●●●BangerBig BrainSolve My Problem
Signed isolation bundles stop agents from reading test files or curling solutions.
Strengths
- •Linux namespaces block filesystem reads and network egress attempts by construction.
- •Signed verdict bundles make benchmark results tamper-evident and independently verifiable.
- •Logs specific violation attempts like masked-file reads for easier debugging.
Weaknesses
- •Cannot prevent cheating via injected answer keys in the agent scaffold.
- •Niche utility limited to teams building or validating their own AI benchmarks.
Category
Target Audience
AI researchers, benchmark creators, ML engineers
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SWE-bench · MLE-bench · Docker
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