feat: add assignment submission scoring - #235
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Co-authored-by: Codex <noreply@openai.com>
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Independent review: approved with no blockers. Reviewed the complete PR against #213, including CLI behavior, the assignment-v1 data contract, privacy minimization, strict archive/rubric validation, deterministic weighted scoring and ranking, compatibility-frozen assets/pricing/lint semantics, docs, examples, and the v0.93.0 bump. Validation evidence:
Security/privacy review confirmed that decompressed bundle members omit raw identity, prompts, results, commands, paths, file contents, environment values, URLs, credentials, and custom model identifiers. Reports clearly state that scoring is a human review aid, not an automated hiring decision or a task/candidate-quality measure. Approved for squash merge. |
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Description
Closes #213.
Adds privacy-minimized assignment submissions and deterministic local scoring for agent-based technical hiring workflows:
agent-strace share --assignment [SESSION_ID] --output submission.zipagent-strace score SUBMISSION.zip --rubric FILE--compareAssignment bundles intentionally omit raw identity, prompts, results, commands, paths, file contents, environment values, URLs, and custom model identifiers. Scores are deterministic process-telemetry arithmetic for human review, not hiring decisions or task/candidate-quality judgments. Bundle hashes provide consistency, not signatures or provenance.
Validation
agent_strace-0.93.0-py3-none-any.whlgit diff --checkpassedRelease
This feature bumps the package from
0.92.0to0.93.0following the repository's minor-version policy.