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Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-21 23:18 UTC

abacusmodeling / abacus-develop

An electronic structure package based on either plane wave basis or numerical atomic orbitals.

C++LGPL-3.0★ 207 Sterne⑂ 287 Forksseit Jan. 2021Auf GitHub ansehen ↗

abacusmodeling/abacus-develop erreicht einen Gesundheitsindex von 69 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (90/100) ab, am schwächsten bei Security (54/100). Zuletzt vor 25 Tagen aktualisiert. 6 Mitwirkende tragen den Großteil der jüngsten Arbeit.

69
gesamt / 100
Mittel

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

69
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

abacusmodelingOrganisation
35 Follower17 öffentliche Reposseit Jan. 2021

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpyabacusverweist auf ein anderes Repo — nicht bewertet1.2.1-5vor 770 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

55Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 25 Tagen
1.4/36Commit-Rhythmus — 2/52 Wochen mit Commits
10/18Commit-Volumen — 12 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year12
human_commit_share1
days_since_last_push25
active_weeks_last_year2
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 82 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 239 Tagen
27/27Release-Rhythmus — ein Release etwa alle 14 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count82
latest_release_tagv3.9.0.19
releases_from_tagsnein
days_since_latest_release239
mean_days_between_releases14
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

70Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
37.5/60Stars — 207 Stars
20.5/25Forks — 287 Forks
5.8/15Watcher — 12 Watcher
Verwendete Eingangsdaten
forks287
stars207
watchers12
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (LGPL-3.0)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

74Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
48.6/54Bus-Faktor — 6 Beitragende decken die Hälfte aller Commits ab
19.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 14 % der Commits
13.5/13.5Breite der Beitragenden — 99 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor6
contributors_sampled99
top_contributor_share0,139
Wie die Bewertung erfolgt
43.9/46.8Issue-Lösungsquote — 94 % der Issues geschlossen
22.8/38.3PR-Annahme — 163/273 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs163
open_issues6
closed_issues93
issue_closed_ratio0,939
closed_unmerged_prs110
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11.2/25Reichweite des Inhabers — 35 Follower von abacusmodeling
20.1/25Kontohistorie — 17 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers35
owner_typeOrganization
is_verified
owner_loginabacusmodeling
public_repos17
account_age_days2.008

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

90Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 12 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_configja
has_precommit_configja
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

54Mittel · 16 % des Gesamtindex

Sicherheitslage

42Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4,2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:pyabacus@1.2.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 1 Paketen. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

64Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 97 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,97
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile, python/pyabacus/noxfile.py, source/Makefile, source/source_basis/module_ao/1_Documents/sphinx/Makefile, source/source_basis/module_pw/test/Makefile, source/source_lcao/module_deepks/test/Makefile, source/source_pw/module_pwdft/Makefile, tools/SIAB/SimulatedAnnealing/backup_old_version/1_Source/Makefile, tools/SIAB/SimulatedAnnealing/source/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — C++ (statisch typisiert)
10/10Reproduzierbare Umgebung — devcontainer, Dockerfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languageja
bootstrap_filesdocs/Makefile, python/pyabacus/noxfile.py, source/Makefile, source/source_basis/module_ao/1_Documents/sphinx/Makefile, source/source_basis/module_pw/test/Makefile, source/source_lcao/module_deepks/test/Makefile, source/source_pw/module_pwdft/Makefile, tools/SIAB/SimulatedAnnealing/backup_old_version/1_Source/Makefile, tools/SIAB/SimulatedAnnealing/source/Makefile
has_devcontainerja
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — C++ (statisch typisiert)
54.6/55Handhabbare Dateigrößen — 15/2.072 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC++
largest_source_bytes2.185.065
source_files_sampled2.072
oversized_source_files15
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

207GitHub-Sterne
99Mitwirkende
12Commits, letzte 12 Monate
25Tage seit letztem Push
82Releases
6Bus-Faktor
6offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch pypi package 'abacus_plot' from its registry
  • pypi package 'pyabacus' points at a different repository (https://github.com/Tausand-dev/PyAbacus); excluded from ecosystem scoring

Weitere Details

Stern- und Fork-Verlauf 207 ★ / 287 ⇿
207Sterne
287Forks
82Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

040801201602002402073952021-012023-102026-07
Major 1Minor 11Patch 51

Jeder Punkt umfasst 6 Tage.

OpenSSF Scorecard 4.2 / 10
4.2Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-21 23:17 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 12

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 12 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIbreatheindirekt
PyPIdeepmodeling-sphinxindirekt
PyPIexhaleindirekt
PyPIlxmlindirekt
PyPImatplotlibindirekt
PyPImyst-parserindirekt
PyPInumpyindirekt
PyPIsetuptoolsindirekt
PyPIsphinxindirekt
PyPIsphinx-book-themeindirekt
PyPIsphinx-rtd-themeindirekt
PyPIurllib3indirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:pyabacus@1.2.1 zieht 1 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
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          "body": "* feat pexsi\n\n* fix : diag not completed\n\n* feat\n\n* feat: pexsi hsolver\n\n* CMake building implemented\n\n* Works\n\n* adapt to the new container\n\n* Turn off USE_PEXSI\n\n* Update LibRI to 553c91c\n\n* modify include files\n\n* namespace-ize\n\n* new inputs added\n\n* Configure Makefile Compiling, fix typos\n\n* Fix\n[…]\n531+jingan-181@users.noreply.github.com>\nCo-authored-by: StarGrys <771582678@qq.com>\nCo-authored-by: Haozhi Han <haozhi.han@stu.pku.edu.cn>\nCo-authored-by: Mohan Chen <mohan.chen.chen.mohan@gmail.com>",
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          "body": "…#6296)\n\n* version 0.0\n\n* change gemm function\n\n* enable gint_vl_gpu\n\n* add new gemm function\n\n* support rho calculation\n\n* enable fvl calculation\n\n* small change\n\n* enable vlocal-metagga and tau calculation\n\n* add set ddphi\n\n* enable gint_vl_nspin4_gpu\n\n* add gint_vl_metagga_nspin4_gpu\n\n* enable fv\n[…]\n module_lr\n\n* replace module with source\n\n* include missing header\n\n* fix a bug\n\n* update some result.ref\n\n* fix compilation error when MPI is disabled\n\n* add makefile support\n\n* fix compilation error",
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          "headline": "new gint module (This is a big PR that replaces old integral codes) (…",
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          "body": "…pace wave function and partial charge density (#6336)\n\n* Refactor get_pchg for LCAO, remove nbands_istate\n\n* Delete useless CASES_mylist.txt\n\n* Refactor get_pchg for PW, remove useless function input\n\n* Remove useless header files in get_pchg_lcao.h\n\n* Rename IState_Charge to Get_pchg_lcao\n\n* Refactor get_wf for LCAO, remove nbands_istate\n\n* Remove useless header files and cout message in get_wf_lcao\n\n* Unify wf naming in get_wf_pw\n\n* Remove nbands_istate from ABACUS",
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          "headline": "Remove INPUT parameter `nbands_istate` and unify the naming of real s…",
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          "body": "* feat pexsi\n\n* fix : diag not completed\n\n* feat\n\n* feat: pexsi hsolver\n\n* CMake building implemented\n\n* Works\n\n* adapt to the new container\n\n* Turn off USE_PEXSI\n\n* Update LibRI to 553c91c\n\n* modify include files\n\n* namespace-ize\n\n* new inputs added\n\n* Configure Makefile Compiling, fix typos\n\n* Fix\n[…]\n531+jingan-181@users.noreply.github.com>\nCo-authored-by: StarGrys <771582678@qq.com>\nCo-authored-by: Haozhi Han <haozhi.han@stu.pku.edu.cn>\nCo-authored-by: Mohan Chen <mohan.chen.chen.mohan@gmail.com>",
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          "headline": "Fix: Fix Compile Error on CUDA Version > 12.9 (#6337)",
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          "author_name": "Chen Nuo",
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          "author_name": "kirk0830",
          "author_login": "kirk0830",
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          "body": "…tput eigenvalue information issue (#6326)\n\n* update output files\n\n* keep updating the output information in running log\n\n* update output formats\n\n* change the file name of write_istate_info write_eig_occ\n\n* update output of band information\n\n* update output of eigenvalues, delete useless functions\n\n[…]\nupdate pband\n\n* update DOS info\n\n* fix two tests\n\n* update dH and T(R) matrix output information\n\n* update elecstate_print_test\n\n* update file name of dH/dR\n\n* update examples of dhrxs1\n\n* update test",
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          "headline": "Reformat running log, delete 'printe' command in INPUT and fix the ou…",
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          "body": "…struction methods. (#6307)\n\n* Use template to reconstruct parse_expression\n\n* Feature: output R matrix at each MD step\n\n* Modify'matrix_HS' to 'matrix' for R matrix output\n\n* Merge branches 'develop' and 'develop' of https://github.com/1041176461/abacus-develop into develop\n\n* Fix: modify index in \n[…]\nby: HTZhao <104255052+ESROAMER@users.noreply.github.com>\nCo-authored-by: maki49 <1579492865@qq.com>\nCo-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>",
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          "body": "* refactor Exx_Info::coulomb_param for RI\n\n* refactor in_built_xc_func_ext_params()\n\n* add precision in ModuleBase::GlobalFunc::TO_STRING()\n\n---------\n\nCo-authored-by: linpz <linpz@mail.ustc.edu.cn>",
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          "headline": "refactor `Exx_Info::coulomb_param` for RI (#6295)",
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          "body": "…n functionals (#6270)\n\n* Feature: add xcpnet_exch/corr_placeholder parameters to tune XC manually\n\n* Refactor: remove the xc_functional_libxc_id.cpp because it is not used\n\n* Change the default values of xcpnet_exch/corr_placeholder to those of pbe\n\n* change the name of keywords\n\n* update docs\n\n* c\n[…]\nap\n\n* remove unnecessary dependency on parameter.h\n\n* update the name of parameters and polish the note in docs\n\n* add assertion to avoid memory access ub\n\n* update doc\n\n* correct extended -> external",
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          "headline": "Refactor: Migrate ML KEDF Descriptor Calculation & Output to module_i…",
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          "headline": "add exx nscf file check (#6288)",
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          "body": "…6271)\n\n* replace ENABLE_DEEPKS & ENABLE_MLKEDF with ENABLE_ML4DFT\n\n* update doc\n\n* update doc\n\n* update ENABLE_MLALGO\n\n* solve some comments\n\n* update __DMLALGO\n\n* update __MLALGO\n\n* update cmakelists\n\n* update the meaning of machine learning algorithms\n\n---------\n\nCo-authored-by: Mohan Chen <mohanchen@pku.edu.cn>\nCo-authored-by: Liang Sun <50293369+sunliang98@users.noreply.github.com>",
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          "headline": "Refactor: replace ENABLE_DEEPKS & ENABLE_MLKEDF with ENABLE_MLALGO (#…",
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          "headline": "fix a bug (#6283)",
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          "headline": "Reconstruct the LCAO codes for the parameter 'PARAM.inp.out_interval'…",
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                "key": "push_recency",
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                "key": "commit_cadence",
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                "key": "ships_releases",
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                      "count": 82
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                "key": "openssf_scorecard_signed_releases",
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            "notes": [],
            "value": 100,
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              "cap": null,
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        "weight": 0.18,
        "metrics": [
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            "key": "popularity",
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            "note": null,
            "notes": [],
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            "inputs": {
              "forks": 287,
              "stars": 207,
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              "growth_state": "organic",
              "growth_factor_pct": 100
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            "components": [
              {
                "key": "stars",
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                "status": "partial",
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                "max_points": 60
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              {
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                "max_points": 25
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              {
                "key": "watchers",
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            "note": null,
            "notes": [],
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            "inputs": {
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              {
                "key": "code_of_conduct",
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              {
                "key": "issue_template",
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                "key": "pr_template",
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      {
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            "notes": [],
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "max_points": 22.5
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "99 contributors",
                "points": 13.5,
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                "details": [
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                    "code": "contributors_sampled",
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                ],
                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
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                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
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            "note": null,
            "notes": [],
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            "inputs": {
              "merged_prs": 163,
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              "issue_closed_ratio": 0.939,
              "closed_unmerged_prs": 110
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            "components": [
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                "key": "issue_resolution",
                "name": "Issue resolution",
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                "points": 43.9,
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
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                    "code": "decided_prs_merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "points": 0,
                "status": "missed",
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            ]
          },
          {
            "key": "stewardship",
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            "note": null,
            "notes": [],
            "value": 61,
            "inputs": {
              "followers": 35,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "abacusmodeling",
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              "account_age_days": 2008
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            "components": [
              {
                "key": "ownership_backing",
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                "details": [
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                    "code": "owner_organization",
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                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "35 followers of abacusmodeling",
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                "status": "partial",
                "details": [
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                    "code": "owner_followers",
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                      "count": 35,
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
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                "points": 20.1,
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                "details": [
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                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
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                ],
                "max_points": 25
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
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        "weight": 0.2,
        "metrics": [
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                "code": "excluded_no_data",
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 100,
            "inputs": {
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            "components": [
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                "key": "ci_workflows",
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                "detail": "12 workflow(s)",
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                    "code": "ci_workflows",
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
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              },
              {
                "key": "linter_config",
                "name": "Linter config",
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              },
              {
                "key": "pre_commit_hooks",
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              {
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              },
              {
                "key": "openssf_scorecard_ci_tests",
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                ],
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            ]
          },
          {
            "key": "documentation",
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            "notes": [],
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            "inputs": {
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              },
              {
                "key": "documentation_directory",
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              },
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            ]
          }
        ],
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              },
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            "value": 42,
            "inputs": {
              "source": "openssf_scorecard",
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                ],
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              },
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                "key": "cii_best_practices",
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              },
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                "key": "code_review",
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              },
              {
                "key": "contributors",
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              },
              {
                "key": "dangerous_workflow",
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              },
              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
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              },
              {
                "key": "license",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
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                "details": [],
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              },
              {
                "key": "packaging",
                "name": "Packaging",
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                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
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              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "no SAST tool detected",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
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                "details": [],
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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                "status": "met",
                "details": [],
                "max_points": 7.5
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            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pyabacus@1.2.1 runtime dependency closure — what installing the published package pulls in — 1 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:pyabacus@1.2.1",
                  "assessed": 1
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 1,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 1,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 3
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 64,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "legible_history_share": 0.97,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
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                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "97 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 97,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 77,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": true,
              "bootstrap_files": [
                "docs/Makefile",
                "python/pyabacus/noxfile.py",
                "source/Makefile",
                "source/source_basis/module_ao/1_Documents/sphinx/Makefile",
                "source/source_basis/module_pw/test/Makefile",
                "source/source_lcao/module_deepks/test/Makefile",
                "source/source_pw/module_pwdft/Makefile",
                "tools/SIAB/SimulatedAnnealing/backup_old_version/1_Source/Makefile",
                "tools/SIAB/SimulatedAnnealing/source/Makefile"
              ],
              "has_devcontainer": true,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile, python/pyabacus/noxfile.py, source/Makefile, source/source_basis/module_ao/1_Documents/sphinx/Makefile, source/source_basis/module_pw/test/Makefile, source/source_lcao/module_deepks/test/Makefile, source/source_pw/module_pwdft/Makefile, tools/SIAB/SimulatedAnnealing/backup_old_version/1_Source/Makefile, tools/SIAB/SimulatedAnnealing/source/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/Makefile, python/pyabacus/noxfile.py, source/Makefile, source/source_basis/module_ao/1_Documents/sphinx/Makefile, source/source_basis/module_pw/test/Makefile, source/source_lcao/module_deepks/test/Makefile, source/source_pw/module_pwdft/Makefile, tools/SIAB/SimulatedAnnealing/backup_old_version/1_Source/Makefile, tools/SIAB/SimulatedAnnealing/source/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "C++ (statically typed)",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "C++"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "devcontainer, Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "devcontainer, Dockerfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "primary_language": "C++",
              "largest_source_bytes": 2185065,
              "source_files_sampled": 2072,
              "oversized_source_files": 15
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "C++ (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "C++"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "15/2072 source files over 60KB",
                "points": 54.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 2072,
                      "oversized": 15
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Could not fetch pypi package 'abacus_plot' from its registry",
    "pypi package 'pyabacus' points at a different repository (https://github.com/Tausand-dev/PyAbacus); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T23:18:12.275993Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/abacusmodeling/abacus-develop.svg",
  "full_name": "abacusmodeling/abacus-develop",
  "license_state": "standard",
  "license_spdx": "LGPL-3.0"
}

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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.26.0 — vollständige Methodik · Metriken-Wiki.

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