The dataset viewer is not available for this split.
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]
source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
child 0, head: string
child 1, url: string
child 2, branch: string
child 3, sha_verified_from: string
failed_ids: list<item: null>
child 0, item: null
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
child 8, test_to_source_line_ratio: double
child 9, total_lines: int64
child 10, a_licences: l
...
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
version: string
root: string
python: string
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
failed: int64
schema: string
total: int64
redistribution: string
platform: string
all_passed: bool
passed: int64
sbom_written: bool
license: 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'), '
...
alue('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': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}, 'license': Value('string'), 'redistribution': 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]
source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
child 0, head: string
child 1, url: string
child 2, branch: string
child 3, sha_verified_from: string
failed_ids: list<item: null>
child 0, item: null
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
child 8, test_to_source_line_ratio: double
child 9, total_lines: int64
child 10, a_licences: l
...
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
version: string
root: string
python: string
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
failed: int64
schema: string
total: int64
redistribution: string
platform: string
all_passed: bool
passed: int64
sbom_written: bool
license: 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'), '
...
alue('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': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}, 'license': Value('string'), 'redistribution': Value('string')}
because column names don't matchNeed 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.
XBMC
Anticloud-hardened packaging of the upstream project
XBMCin category CONSUMER ELECTRONICS. Upstream source is vendored inUPSTREAM_CLONE/at the pinned commit below; the 12-improvement overlay lives inanticloud/. Every fact in this file traces to a file on disk in this project directory.
Category: CONSUMER ELECTRONICS · Upstream: https://github.com/XBMC/xbmc · Upstream pin: e99bb6a9192c26a8575fb2d16a7247bf49f8fb04 · Vendor: Anticloud FZ LLE
What This Project Does
website • docs • community • add-ons
Welcome to Kodi Home Theater Software!
Kodi is an award-winning free and open source software media player and entertainment hub for digital media. Available as a native application for Android, Linux, BSD, macOS, iOS, tvOS and Windows operating systems, Kodi runs on most common processor architectures.
Created in 2003 by a group of like minded programmers, Kodi is a non-profit project run by the XBMC Foundation and developed by volunteers located around the world. More than 500 software developers have contributed to Kodi to date, and 100-plus translators have worked to expand its reach, making it available in more than 70 languages.
While Kodi functions very well as a standard media player application for your computer, it has been designed to be the perfect companion for your HTPC. With its beautiful interface and powerful skinning engine, Kodi feels very natural to use from the couch with a remote control and is the ideal solution for your home theater.
Give your media the love it deserves
Kodi can be used to play almost all popular audio and video formats around. It was designed for network playback, so you can stream your multimedia from anywhere in the house or directly from the internet using practically any protocol available.
Point Kodi to your media and watch it scan and automagically create a personalized library complete with box covers, descriptions, and fanart. There are playlist and slideshow functions, a weather forecast feature and many audio visualizations. Once installed, your computer or HTPC will become a fully functional multimedia jukebox.
Getting Started
Kodi's developers work hard to make it support a large range of devices and operating systems. We provide final as well as development builds. To get started, head over to the downloads section and simply select the platform that you want to install it on. A quick start guide to help you get acquainted with Kodi is available in our wiki.
How to Contribute
Kodi is created by users for users and we welcome every contribution. There are no highly paid developers or poorly paid support personnel on the phones ready to take your call. There are only users who have seen a problem and done their best to fix it. This means Kodi will always need the contributions of users like you. How can you get involved?
- Coding: Developers can help Kodi by fixing a bug, adding new features, making our technology smaller and faster and making development easier for others. Kodi's codebase consists mainly of C++ with small parts written in a variety of coding languages. Our add-ons mainly consist of python and XML. For more information, please have a look at our contributing guide.
- Helping users: Our support process relies on enthusiastic contributors like you to help others get the most out of Kodi. The #1 priority is always answering questions in our support forums. Everyday new people discover Kodi, and everyday they are virtually guaranteed to have questions.
- Localization: Translate Kodi, add-ons, skins etc. into your native language.
- Add-ons: Add-ons are what make Kodi the most extensible and customizable entertainment hub available. Get started building an add-on.
- Documentation: Kodi's wiki pages are the hub for information about Kodi and surrounding ecosystem. Help make our documentation better by writing new content or correcting existing material.
Not enough free time? No problem! There are other ways to help Kodi.
- Spread the word: Share Kodi with the world! Tell your friends and family about how Kodi creates an amazing entertainment experience. Stay up to date on the latest stories about Kodi reading our news section, follow us on Twitter and Facebook, or star Kodi's project if you want to follow development.
- Donate: We are always happy to receive a donation. Donations are typically used for travel to attend conferences, any necessary paperwork
(excerpt; full text in UPSTREAM_CLONE/)
Quoted from the upstream README.md file in UPSTREAM_CLONE/.
Project-specific facts detected in this directory:
- Ecosystem: C/C++ / CMake (manifests: CMakeLists.txt; scanned in UPSTREAM_CLONE)
- Top-level source layout:
LICENSES/,addons/,cmake/,lib/,media/,project/,system/,tools/,userdata/,xbmc/ - Snapshot size: 9764 files, 1116594 lines of code (measured; see Benchmarks)
- Primary languages:
.h(2513),.cpp(2233),.po(1213),.json(862),.png(809),.txt(452) - Upstream commit pinned for this packaging:
e99bb6a9192c26a8575fb2d16a7247bf49f8fb04
Installation
Welcome to Kodi Home Theater Software!
Kodi is an award-winning free and open source software media player and entertainment hub for digital media. Available as a native application for Android, Linux, BSD, macOS, iOS, tvOS and Windows operating systems, Kodi runs on most common processor architectures.
Created in 2003 by a group of like minded programmers, Kodi is a non-profit project run by the XBMC Foundation and developed by volunteers located around the world. More than 500 software developers have contributed to Kodi to date, and 100-plus translators have worked to expand its reach, making it available in more than 70 languages.
While Kodi functions very well as a standard media player application for your computer, it has been designed to be the perfect companion for your HTPC. With its beautiful interface and powerful skinning engine, Kodi feels very natural to use from the couch with a remote control and is the ideal solution for your home theater.
Give your media the love it deserves
Kodi can be used to play almost all popular audio and video formats around. It was designed for network playback, so you can stream your multimedia from anywhere in the house or directly from the internet using practically any protocol available.
Point Kodi to your media and watch it scan and automagically create a personalized library complete with box covers, descriptions, and fanart. There are playlist and slideshow functions, a weather forecast feature and many audio visualizations. Once installed, your computer or HTPC will become a fully functional multimedia jukebox.
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
Give your media the love it deserves
Kodi can be used to play almost all popular audio and video formats around. It was designed for network playback, so you can stream your multimedia from anywhere in the house or directly from the internet using practically any protocol available.
Point Kodi to your media and watch it scan and automagically create a personalized library complete with box covers, descriptions, and fanart. There are playlist and slideshow functions, a weather forecast feature and many audio visualizations. Once installed, your computer or HTPC will become a fully functional multimedia jukebox.
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
Welcome to Kodi Home Theater Software!
Kodi is an award-winning free and open source software media player and entertainment hub for digital media. Available as a native application for Android, Linux, BSD, macOS, iOS, tvOS and Windows operating systems, Kodi runs on most common processor architectures.
Created in 2003 by a group of like minded programmers, Kodi is a non-profit project run by the XBMC Foundation and developed by volunteers located around the world. More than 500 software developers have contributed to Kodi to date, and 100-plus translators have worked to expand its reach, making it available in more than 70 languages.
While Kodi functions very well as a standard media player application for your computer, it has been designed to be the perfect companion for your HTPC. With its beautiful interface and powerful skinning engine, Kodi feels very natural to use from the couch with a remote control and is the ideal solution for your home theater.
Give your media the love it deserves
Kodi can be used to play almost all popular audio and video formats around. It was designed for network playback, so you can stream your multimedia from anywhere in the house or directly from the internet using practically any protocol available.
Point Kodi to your media and watch it scan and automagically create a personalized library complete with box covers, descriptions, and fanart. There are playlist and slideshow functions, a weather forecast feature and many audio visualizations. Once installed, your computer or HTPC will become a fully functional multimedia jukebox.
Section quoted from the upstream readme.
Dependencies
| Metric | Value |
|---|---|
| Ecosystem | C/C++ / CMake |
| Manifests detected | CMakeLists.txt |
| Files in snapshot | 9764 |
| Lines of code | 1116594 |
| Dependency references | 15 |
| Dependencies by ecosystem | native: 15 |
| Upstream license | GPL |
| Overlay license | Anticommons 0.1.0 |
Top dependency references recorded in the benchmark snapshot:
| Ecosystem | Name | Version | Source file |
|---|---|---|---|
| native | PkgConfig | - | CMakeLists.txt |
| native | Threads | - | CMakeLists.txt |
| native | Shairplay | - | CMakeLists.txt |
| native | Gtest | - | CMakeLists.txt |
| native | Doxygen | - | CMakeLists.txt |
| native | SWIG | - | xbmc/interfaces/swig/CMakeLists.txt |
| native | Bluetooth | - | tools/EventClients/Clients/WiiRemote/CMakeLists.txt |
| native | CWiid | - | tools/EventClients/Clients/WiiRemote/CMakeLists.txt |
| native | GLU | - | tools/EventClients/Clients/WiiRemote/CMakeLists.txt |
| native | Lzo2 | - | tools/depends/native/TexturePacker/src/CMakeLists.txt |
| native | PNG | - | tools/depends/native/TexturePacker/src/CMakeLists.txt |
| native | GIF | - | tools/depends/native/TexturePacker/src/CMakeLists.txt |
| native | JPEG | - | tools/depends/native/TexturePacker/src/CMakeLists.txt |
| native | Meson | - | tools/depends/native/pkgconf/CMakeLists.txt |
| native | Ninja | - | tools/depends/native/pkgconf/CMakeLists.txt |
Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).
Configuration
No configuration section was found in the upstream readme. Configuration-relevant files detected in this project directory:
CMakeLists.txt
Overlay configuration (Anticloud):
anticloud/- improvement overlay; environment-driven, no cloud dependencyLEDGERS/- aioss tamper-evident chain files (per-project, verified withaioss 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 XBMC 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: GPL (evidence: LICENSE.md in the upstream snapshot).
License file excerpt:
Kodi is provided under
SPDX-License-Identifier: GPL-2.0-or-later
Being under the terms of the GNU General Public License v2.0 or later, according with
LICENSES/GPL-2.0-or-later
In addition, other licenses may also apply. Please see
LICENSES/README.md
for more details.
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 GPL terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.
SPDX: GPL (upstream) + Anticommons 0.1.0 (overlay, dual).
Upstream
- Project:
XBMC(category: CONSUMER ELECTRONICS) - Upstream URL: https://github.com/XBMC/xbmc
- Pinned commit (SHA):
e99bb6a9192c26a8575fb2d16a7247bf49f8fb04 - Branch: master
- 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
f25a4abd036c8333fed75115cb627a8d59596f1baefe74582e11c8b58658e424.
| 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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