Evidence-gated benchmark for testing whether AI assistants can prove what they claim.
Project description
Nkama Fact Benchmark
Your AI says it built it. Nkama asks: can it prove it?
Nkama Fact Benchmark is an evidence-gated CLI toolkit for AI-assisted work. It does not make an AI magically truthful. It makes the AI's claims easier to test by turning them into files, checks, manifests, and clear pass/fail/blocked reports.
Quick Start
uvx nkama-fact-benchmark
uvx nkama-fact-benchmark activate
uvx nkama-fact-benchmark prepare "Build a browser game with tests."
uvx nkama-fact-benchmark capability-test
uvx nkama-fact-benchmark inspect path/to/nkama_run
uvx nkama-fact-benchmark pilot-harness --phase A
uvx nkama-fact-benchmark selftest
For reproducible runs, pin the version:
uvx --from 'nkama-fact-benchmark==0.1.25' nkama-fact-benchmark selftest
What It Helps With
- Turn a normal prompt into a stronger evidence-gated execution prompt.
- Ask terminal-capable AI agents to keep evidence files as they work.
- Test whether the current sandbox can write files, run Python, and use
uvx. - Inspect generated folders and classify them as design-only, incomplete, blocked, failed, or verified.
- Prepare publication-style research harnesses for SWE-bench Verified and FEVER/TruthfulQA scope experiments.
- Mark missing evidence as
BLOCKEDinstead of pretending it passed.
Core Rule
Blocked evidence is not success. Fix it, rerun it, or report the limitation.
Important Limits
This package verifies only the environment where it runs. If it runs inside a ChatGPT, Claude, Grok, Gemini, Codex, Cursor, or other AI sandbox, the result describes that sandbox only. A blocked PyPI, GitHub, or network connection is a real capability result, not proof that the package does not exist.
External model calls are disabled by default. Tool access and command execution must be explicitly requested with the relevant command flags.
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