Dataset Viewer

Split (1)

train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
total: int64
platform: string
source: struct<git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: str (... 5 chars omitted)
  child 0, git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: string>
      child 0, doc_only: bool
      child 1, head: string
      child 2, url: string
      child 3, branch: string
      child 4, sha_verified_from: string
root: string
all_passed: bool
passed: int64
version: string
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
  child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
      child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
          child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
              child 0, max_files: int64
              child 1, max_lines: int64
              child 2, min_lines: int64
          child 1, code_lines: int64
          child 2, command: string
          child 3, counts_command: string
          child 4, files_source: int64
          child 5, files_tests: int64
          child 6, files_total: int64
          child 7, method: string
      
...
th: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
              child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
              child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
          child 62, criteria_missing: list<item: null>
              child 0, item: null
          child 63, criteria_satisfied: int64
          child 64, criteria_total: int64
          child 65, framework_controls_verified: int64
          child 66, ladder: string
          child 67, observed_level: int64
          child 68, source: string
          child 69, trL9_claimed: bool
          child 70, trL9_reason: string
      child 1, id: string
      child 2, ok: bool
      child 3, status: string
      child 4, title: string
schema: string
failed: int64
python: string
failed_ids: list<item: null>
  child 0, item: null
sbom_written: bool
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
  child 0, aggregate_rule: string
  child 1, excluded: string
  child 2, reproduce: string
  child 3, thresholds_note: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
...
path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'doc_only': Value('bool'), 'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              digest: string
              kind: string
              path: string
              payload_sha3: string
              prev: string
              seq: int64
              ts: timestamp[s]
              total: int64
              platform: string
              source: struct<git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: str (... 5 chars omitted)
                child 0, git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: string>
                    child 0, doc_only: bool
                    child 1, head: string
                    child 2, url: string
                    child 3, branch: string
                    child 4, sha_verified_from: string
              root: string
              all_passed: bool
              passed: int64
              version: string
              benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
                child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
                    child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
                        child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
                            child 0, max_files: int64
                            child 1, max_lines: int64
                            child 2, min_lines: int64
                        child 1, code_lines: int64
                        child 2, command: string
                        child 3, counts_command: string
                        child 4, files_source: int64
                        child 5, files_tests: int64
                        child 6, files_total: int64
                        child 7, method: string
                    
              ...
              th: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                            child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                            child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                        child 62, criteria_missing: list<item: null>
                            child 0, item: null
                        child 63, criteria_satisfied: int64
                        child 64, criteria_total: int64
                        child 65, framework_controls_verified: int64
                        child 66, ladder: string
                        child 67, observed_level: int64
                        child 68, source: string
                        child 69, trL9_claimed: bool
                        child 70, trL9_reason: string
                    child 1, id: string
                    child 2, ok: bool
                    child 3, status: string
                    child 4, title: string
              schema: string
              failed: int64
              python: string
              failed_ids: list<item: null>
                child 0, item: null
              sbom_written: bool
              method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
                child 0, aggregate_rule: string
                child 1, excluded: string
                child 2, reproduce: string
                child 3, thresholds_note: string
              to
              {'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
              ...
              path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'doc_only': Value('bool'), 'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

LOCALSTACK PRIOR DOCS

Anticloud-hardened packaging of the upstream project LOCALSTACK_PRIOR_DOCS in category SOFTWARE DEVELOPMENT. Upstream source is vendored in UPSTREAM_CLONE/ at the pinned commit below; the 12-improvement overlay lives in anticloud/. Every fact in this file traces to a file on disk in this project directory.

Category: SOFTWARE DEVELOPMENT · Upstream: https://github.com/localstack/localstack · Upstream pin: 8b9a79f05846835cf4dff63ab7eefdde9df83783 · Vendor: Anticloud FZ LLE

What This Project Does

Project Update: Consolidation into the Unified LocalStack Image

To provide a more reliable and streamlined experience, we are consolidating our development into a single, unified image. As part of this transition, this project is now archived and read-only.

This decision reflects our commitment to reducing fragmentation and focusing our resources on building the most robust AWS emulation layer possible. We are deeply grateful to the contributors who helped make this project into what it is today–your work remains integral to the future of the LocalStack ecosystem.

What this means for your workflow:

LocalStack for AWS offers a range of options including a free Hobby plan for non-commercial use with the same capabilities as this project.

Your input is still vital to us. Please continue to share bug reports here and submit feature requests here or join our Slack Community.

Thank you for your continued support as we grow together.

LocalStack is a cloud software development framework to develop and test your AWS applications locally.

Overview • Install • Quickstart • Run • Usage • Releases • Contributing
📖 Docs • 💻 LocalStack for AWS • ☑️ LocalStack coverage

Overview

LocalStack is a cloud service emulator that runs in a single container on your laptop or in your CI environment. With LocalStack, you can run your AWS applications or Lambdas entirely on your local machine without connecting to a remote cloud provider! Whether you are testing complex CDK applications or Terraform configurations, or just beginning to learn about AWS services, LocalStack helps speed up and simplify your testing and development workflow.

LocalStack supports a growing number of AWS services, like AWS Lambda, S3, DynamoDB, Kinesis, SQS, SNS, and many more! The Pro version of LocalStack supports additional APIs and advanced features. You can find a comprehensive list of supported APIs on our ☑️ Feature Coverage page.

LocalStack also provides additional features to make your life as a cloud developer easier! Check out LocalStack's User Guides for more information.

Install

The quickest way to get started with LocalStack is by using the LocalStack CLI. It enables you to start and manage the LocalStack Docker container directly through your command line. Ensure that your machine has a functional docker environment installed before proceeding.

Brew (macOS or Linux with Homebrew)

Install the LocalStack CLI through our official LocalStack Brew Tap:

brew install localstack/tap/localstack-cli

Binary download (macOS, Linux, Windows)

If Brew is not installed on your machine, you can download the pre-built LocalStack CLI binary directly:

Visit localstack/localstack-cli and download the latest release for your platform.
Extract the downloaded archive to a directory included in your PATH variable:
- For macOS/Linux, use the command: sudo tar xvzf ~/Downloads/localstack-cli-*-darwin-*-onefile.tar.gz -C /usr/local/bin

PyPI (macOS, Linux, Windows)

LocalStack is developed using Python. To install the LocalStack CLI using pip, run the following command:

python3 -m pip install localstack

The localstack-cli installation enables you to run the Docker image containing the LocalStack runtime. To interact with the local AWS services, you need

(excerpt; full text in UPSTREAM_CLONE/)

Quoted from the upstream README.md file in UPSTREAM_CLONE/. Project-specific facts detected in this directory:

Ecosystem: Python (manifests: pyproject.toml; scanned in UPSTREAM_CLONE)
Top-level source layout: bin/, localstack-core/, scripts/, tests/
Snapshot size: 3692 files, 468178 lines of code (measured; see Benchmarks)
Primary languages: .py (1939), .json (645), .json5 (545), .yaml (177), .yml (142), (none) (70)
Upstream commit pinned for this packaging: 8b9a79f05846835cf4dff63ab7eefdde9df83783

Installation

What this means for your workflow:

LocalStack for AWS offers a range of options including a free Hobby plan for non-commercial use with the same capabilities as this project.

Your input is still vital to us. Please continue to share bug reports here and submit feature requests here or join our Slack Community.

Thank you for your continued support as we grow together.

LocalStack is a cloud software development framework to develop and test your AWS applications locally.

Overview • Install • Quickstart • Run • Usage • Releases • Contributing
📖 Docs • 💻 LocalStack for AWS • ☑️ LocalStack coverage

Section quoted from the upstream readme. Overlay install (this project):

python -m pip install -e anticloud/     # overlay package with the 12 improvements
python anticloud/cli.py --help          # 13 subcommands, JSON stdout

Usage

Your input is still vital to us. Please continue to share bug reports here and submit feature requests here or join our Slack Community.

Thank you for your continued support as we grow together.

LocalStack is a cloud software development framework to develop and test your AWS applications locally.

Overview • Install • Quickstart • Run • Usage • Releases • Contributing
📖 Docs • 💻 LocalStack for AWS • ☑️ LocalStack coverage

Section quoted from the upstream readme. Anticloud overlay CLI (available in every project):

python anticloud/cli.py --help     # 13 subcommands, JSON stdout
python anticloud/cli.py checks     # run the 16-check suite

API

The upstream API surface is defined by the LOCALSTACK_PRIOR_DOCS source tree vendored in UPSTREAM_CLONE/ (Python ecosystem). Public entry points:

Source modules: bin/, localstack-core/, scripts/, tests/
The snapshot declares 37 dependency references across 4 ecosystem(s); see Dependencies below.
Overlay API: anticloud/cli.py exposes 13 subcommands with JSON stdout; anticloud/bench/runner.py runs the 16-check suite; anticloud/provenance/chain.py exposes the SHA3-256 + Ed25519 provenance chain.

Dependencies

Metric	Value
Ecosystem	Python
Manifests detected	pyproject.toml
Files in snapshot	3692
Lines of code	468178
Dependency references	37
Dependencies by ecosystem	cargo: 18, go: 4, npm: 2, pypi: 13
Upstream license	Apache-2.0
Overlay license	Anticommons 0.1.0

Top dependency references recorded in the benchmark snapshot:

Ecosystem	Name	Version	Source file
pypi	asn1crypto	>=1.5.1	pyproject.toml
pypi	click	>=8.2.0	pyproject.toml
pypi	cachetools	>=5.0	pyproject.toml
pypi	cryptography	-	pyproject.toml
pypi	dnslib	>=0.9.10	pyproject.toml
pypi	dnspython	>=1.16.0	pyproject.toml
pypi	plux	>=1.14.0	pyproject.toml
pypi	psutil	>=5.4.8	pyproject.toml
pypi	python-dotenv	>=0.19.1	pyproject.toml
pypi	pyyaml	>=5.1	pyproject.toml
pypi	rich	>=12.3.0	pyproject.toml
pypi	requests	>=2.20.0	pyproject.toml
pypi	semver	>=2.10	pyproject.toml
cargo	name	bootstrap	tests/aws/services/lambda_/functions/rust-lambda/Cargo.toml
cargo	version	0.1.0	tests/aws/services/lambda_/functions/rust-lambda/Cargo.toml
...	(22 more)

Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).

Configuration

Your input is still vital to us. Please continue to share bug reports here and submit feature requests here or join our Slack Community.

Thank you for your continued support as we grow together.

LocalStack is a cloud software development framework to develop and test your AWS applications locally.

Overview • Install • Quickstart • Run • Usage • Releases • Contributing
📖 Docs • 💻 LocalStack for AWS • ☑️ LocalStack coverage

Section quoted from the upstream readme. Overlay configuration (Anticloud):

anticloud/ - improvement overlay; environment-driven, no cloud dependency
LEDGERS/ - aioss tamper-evident chain files (per-project, verified with aioss verify --live)
ISOLATED_LAB_RESULTS/ - reproducibility record (environment, reproduction steps, result register, evidence)
OFFICIAL_BENCHMARKS/ - 26 framework assessments for this project

Contributing

Upstream contributions: fork the LOCALSTACK_PRIOR_DOCS project, create a feature branch, and open a pull request against upstream. Keep UPSTREAM_CLONE/ untouched in this packaging; put improvements in the anticloud/ overlay.

Overlay contributions: run the 16-check suite before opening a pull request:

python anticloud/bench/runner.py --cwd anticloud

License

Upstream license: Apache-2.0 (evidence: LICENSE.txt in the upstream snapshot).

License file excerpt:

Copyright (c) 2017+ LocalStack contributors
Copyright (c) 2016 Atlassian Pty Ltd

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Anticommons 0.1.0 overlay

The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original Apache-2.0 terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.

SPDX: Apache-2.0 (upstream) + Anticommons 0.1.0 (overlay, dual).

Upstream

Project: LOCALSTACK_PRIOR_DOCS (category: SOFTWARE DEVELOPMENT)
Upstream URL: https://github.com/localstack/localstack
Pinned commit (SHA): 8b9a79f05846835cf4dff63ab7eefdde9df83783
Branch: main
Pin provenance: resolved during the second documentation pass. The parent-project stamp is explicitly rejected for this project.
Snapshot location: UPSTREAM_CLONE/ (vendored, not shipped as-is)
Benchmark snapshot: BENCH.json

Benchmarks

Measured by the Anticloud assurance suite. Every value below is read from this project's BENCH.json, produced by a real run — the SHA3-256 of that file is b48d8dad6108d7b3875376a4f489ab6658b3162fa0dd61522a6404d6341f1519.

Framework	Controls	Evidence	Coverage	Result
OWASP Top 10 for LLM Applications	10 controls mapped	10 with evidence	100.0%	PASS
OWASP Top 10 (2021)	9 controls mapped	9 with evidence	100.0%	PASS
SOC 2 Type II readiness	9 controls mapped	9 with evidence	100.0%	PASS
NIST AI Risk Management Framework	8 controls mapped	8 with evidence	100.0%	PASS
NIST SP 800-53 Rev. 5	12 controls mapped	12 with evidence	100.0%	PASS
NIST Cybersecurity Framework 2.0	8 controls mapped	8 with evidence	100.0%	PASS
FedRAMP Rev. 5	10 controls mapped	10 with evidence	100.0%	PASS
PCI DSS v4.0.1	11 controls mapped	11 with evidence	100.0%	PASS
ISO/IEC 27001:2022	9 controls mapped	9 with evidence	100.0%	PASS
MITRE ATT&CK v16	12 controls mapped	12 with evidence	100.0%	PASS
ML Technology Readiness Level	TRL 8	8/8 criteria		PASS

Overall: 16/16 checks passing.

See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.

Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the evidence source bound to each control. This project does not claim an audit opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are issued by an independent assessor.

Archives and Permanent Records

Platform	Identifier	Volume
Harvard Dataverse	DOI 10.7910/DVN/YMJKOG	145 citable datasets
AIOSS verification kit	DOI 10.7910/DVN/OORKNJ	Offline hash verification
Zenodo (CERN)	—	146 records, DOI-registered
OSF	—	144 preregistered records
Figshare	author 20849885	Research data and figures
Internet Archive	aioss-format, Anticode	Permanent binary specification
ORCID	0009-0009-2233-6107	Permanent researcher ID
Kaggle	pax-millennium-20	Reproducible T4 benchmark run

Press and Independent Publication

The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.

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