{"id":50765439,"url":"https://github.com/igerber/causal-llm-eval","last_synced_at":"2026-06-11T13:30:23.193Z","repository":{"id":356971338,"uuid":"1234782680","full_name":"igerber/causal-llm-eval","owner":"igerber","description":"Black-box evaluation framework for LLM agent behavior in causal inference tasks","archived":false,"fork":false,"pushed_at":"2026-05-10T19:05:10.000Z","size":105,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-10T19:15:07.710Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/igerber.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-10T16:28:58.000Z","updated_at":"2026-05-10T18:14:07.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/igerber/causal-llm-eval","commit_stats":null,"previous_names":["igerber/causal-llm-eval"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/igerber/causal-llm-eval","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igerber%2Fcausal-llm-eval","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igerber%2Fcausal-llm-eval/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igerber%2Fcausal-llm-eval/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igerber%2Fcausal-llm-eval/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/igerber","download_url":"https://codeload.github.com/igerber/causal-llm-eval/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igerber%2Fcausal-llm-eval/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34201839,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-11T02:00:06.485Z","response_time":57,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-06-11T13:30:21.329Z","updated_at":"2026-06-11T13:30:23.178Z","avatar_url":"https://github.com/igerber.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# causal-llm-eval\n\nA black-box evaluation framework for measuring how LLM agents make methodology choices in causal inference tasks, and whether library design (specifically LLM-targeted guidance surfaces like `llms.txt`, fit-time warnings, native diagnostics, and pedagogical docstrings) measurably affects those choices.\n\n## Status\n\nEarly development. Phase 1 case study in progress: comparing diff-diff vs statsmodels on a staggered-adoption synthetic DGP, with N=15 cold-start agents per arm.\n\n## Repo layout (planned)\n\n```\nharness/        # cold-start agent runner, telemetry capture, venv management\ngraders/        # AI judge applying the rubric to transcripts\nprompts/        # versioned task prompts\nrubrics/        # versioned grading rubrics\ndatasets/       # synthetic DGPs and metadata sidecars\nruns/           # per-run records (mostly gitignored)\nanalysis/       # cell summaries, variability reports, reproducibility checks\nwriteups/       # case-study writeup drafts\n```\n\n## Why a separate repo?\n\nEval lives independently of the libraries it evaluates. Independence supports the framework's generalizability, isolates dependency footprints, and keeps reproducibility kits self-contained.\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figerber%2Fcausal-llm-eval","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Figerber%2Fcausal-llm-eval","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figerber%2Fcausal-llm-eval/lists"}