Skip to main content

falsify-giskard

PRML pre-registration for Giskard scenario results.

PRML v0.1 License: MIT

Commit a Giskard eval claim (a metric and threshold) to a SHA-256 before the run, then verify the realised ScenarioResult against it.

Why

Giskard runs a scenario of checks and reports pass/fail plus per-check metrics. But the report records what happened, not what was promised before the run. Pre-registering the claim means quietly relaxing a threshold or swapping a model after seeing results breaks the hash, so a passing scenario becomes tamper-evident.

This is the Giskard counterpart to falsify-inspect and uses the same PRML v0.1 manifest format.

Install

pip install falsify-giskard

Quickstart

from falsify_giskard import preregister, verify_scenario_result

# 1. Before the run — commit the claim (real PRML v0.1 manifest)
h, manifest = preregister(
    metric="pass_rate",            # or the name of a Giskard Metric (e.g. "groundedness")
    threshold=0.9,
    threshold_direction=">=",      # PRML `comparator`
    dataset="support-qa-v1",       # PRML `dataset.id`
    dataset_hash="e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",  # PRML `dataset.hash`, 64 lowercase hex
    seed=42,
    producer_id="acme/eval-bot",   # PRML `producer.id`
    giskard_scenario="grounded-answers",
    output_path="grounded.prml.yaml",
)
print(h)  # 64-char canonical PRML SHA-256

# 2. Run your Giskard scenario as usual
result = await scenario.run()

# 3. After the run — verify (pass the lock-time hash for tamper-evidence)
verdict = verify_scenario_result(result, "grounded.prml.yaml", expected_hash=h)
assert verdict["status"] == "PASS"   # PASS / FAIL / TAMPERED

Metrics

  • metric="pass_rate" verifies the fraction of (non-skipped) checks that passed.
  • metric="<name>" verifies the value of a Giskard Metric with that name (for example a semantic_similarity or groundedness score).

Verdicts

  • PASS — the manifest hash matches and the observed metric satisfies the committed threshold.
  • FAIL — the hash matches but the observed metric misses the threshold.
  • TAMPERED — the manifest no longer matches the lock-time hash passed as expected_hash (it was altered after commit). Without expected_hash, the hash is taken from the file itself, so only PASS/FAIL is evaluated — pass expected_hash for real tamper-evidence.

For durable tamper-evidence, commit the returned hash to git or to the public registry at registry.falsify.dev right after pre-registration, so the claim is anchored somewhere immutable.

License

MIT. The PRML specification is under the Community Specification License 1.0.

Metadata

Release files for falsify-giskard 0.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for falsify-giskard 0.3.1
File Size Uploaded Provenance Actions
falsify_giskard-0.3.1.tar.gz 13.6 kB With provenance Details for falsify_giskard-0.3.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for falsify-giskard 0.3.1
File Interpreter ABI Platform Actions
falsify_giskard-0.3.1-py3-none-any.whl Python 3 none any Details for falsify_giskard-0.3.1-py3-none-any.whl

Total release size: 23.1 kB

Release files / falsify_giskard-0.3.1.tar.gz

Download URL falsify_giskard-0.3.1.tar.gz
Size 13.6 kB
Tags Source
SHA-256 checksum
How to use checksums
eefc2f6d9a4337099ba6f95b0fe7bccd02bc2150494aa9b6306df3fc3fde7c30
BLAKE2b-256 checksum
How to use checksums
dd3f45c48bb811b706427d6c3fca3ab2e4e0d0cb00bb8600a4c45e2069a3b53c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 1, 2026.

Transparency log

Release files / falsify_giskard-0.3.1-py3-none-any.whl

Download URL falsify_giskard-0.3.1-py3-none-any.whl
Size 9.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3d20e0ffdb417ea439335a2a8166e381b2921f2d9940ab6ad4d282acbccef823
BLAKE2b-256 checksum
How to use checksums
57501d436bfc180bdbf06dac95992a4704920fc8c792064af4661a9c532a1150
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 1, 2026.

Transparency log

Security for falsify-giskard 0.3.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for falsify_giskard-0.3.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 1, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page