Skip to main content

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 BLOCKED instead 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.

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nkama_fact_benchmark-0.1.26.tar.gz (57.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nkama_fact_benchmark-0.1.26-py3-none-any.whl (64.7 kB view details)

Uploaded Python 3

File details

Details for the file nkama_fact_benchmark-0.1.26.tar.gz.

File metadata

  • Download URL: nkama_fact_benchmark-0.1.26.tar.gz
  • Upload date:
  • Size: 57.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for nkama_fact_benchmark-0.1.26.tar.gz
Algorithm Hash digest
SHA256 bd76250102eb0d00721f5dccdd5bcf86cdaf926f3d6363348b1a8c517b0481eb
MD5 ce88bb267c2c042da08a70aa36e7928b
BLAKE2b-256 1fefc9f7b20a9e79819abd29f387173faa6bffd1f6000426acd7d7d6ca0ff503

See more details on using hashes here.

Provenance

The following attestation bundles were made for nkama_fact_benchmark-0.1.26.tar.gz:

Publisher: publish.yml on donkk11/nkama-fact-benchmark

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nkama_fact_benchmark-0.1.26-py3-none-any.whl.

File metadata

File hashes

Hashes for nkama_fact_benchmark-0.1.26-py3-none-any.whl
Algorithm Hash digest
SHA256 c2d6277a1abd449a1881e451a3994978c6c977ad92736c43b0e2807ea390f23e
MD5 9c6e9e6ae4fa2432b69e7ccc2d43dc10
BLAKE2b-256 76cbdee914972f44b1aba8abccb9c88269e6731f634b876d09ba9d2a9cf75096

See more details on using hashes here.

Provenance

The following attestation bundles were made for nkama_fact_benchmark-0.1.26-py3-none-any.whl:

Publisher: publish.yml on donkk11/nkama-fact-benchmark

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page