Open Issues Need Help
View All on GitHub help wanted P0 adr
bhargavchintam/aureproof bhargavchintam/aureproof An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Open project →
0
An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Python
#ai-agents#ai-evaluation#attestation#benchmark#evaluation#in-toto#llm-evaluation#python#reproducibility#security#sigstore
help wanted P0 policy
bhargavchintam/aureproof bhargavchintam/aureproof An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Open project →
0
An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Python
#ai-agents#ai-evaluation#attestation#benchmark#evaluation#in-toto#llm-evaluation#python#reproducibility#security#sigstore
help wanted P0 research
bhargavchintam/aureproof bhargavchintam/aureproof An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Open project →
0
An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Python
#ai-agents#ai-evaluation#attestation#benchmark#evaluation#in-toto#llm-evaluation#python#reproducibility#security#sigstore
help wanted P0 security
bhargavchintam/aureproof bhargavchintam/aureproof An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Open project →
0
An open-source integrity layer for AI-agent evaluations: task-health records, signed re-scorable evidence bundles, and pre-registered pass/fail/inconclusive regression decisions.
Python
#ai-agents#ai-evaluation#attestation#benchmark#evaluation#in-toto#llm-evaluation#python#reproducibility#security#sigstore