Public record
Software health reportschema 0.27.0 · metrics 2.3.1 · 2026-08-01 09:32 UTC

vstorm-co / pydantic-ai-backend

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

PythonMIT★ 117 stars⑂ 23 forkssince Dec 2025View on GitHub ↗

vstorm-co/pydantic-ai-backend holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (58/100). It was last updated today. A single contributor accounts for most of its recent work.

90
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

90
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

VstormOrganization
147 followers34 public repossince Mar 2021

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpydantic-ai-backend0.2.18191,233360 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

90Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
18.7/36Commit cadence — 27/52 weeks with commits
18/18Commit volume — 167 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year167
human_commit_share0.92
days_since_last_push0
active_weeks_last_year27

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 38 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~7.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count38
latest_release_tag0.2.18
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases7.6
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

68Good · 17% of overall
How it's scored
33.5/60Stars — 117 stars
11.2/25Forks — 23 forks
2.7/15Watchers — 4 watchers
Inputs used
forks23
stars117
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes
How it's scored
70.4/80Monthly downloads — 191,233 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespydantic-ai-backend
dependents
ecosystemspypi
total_downloads
monthly_downloads191,233
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

66Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.3/22.5Commit distribution — top contributor authored 76% of commits
13.5/13.5Contributor breadth — 11 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.765
How it's scored
37.3/42Issue resolution — 89% of issues closed
28.2/30PR acceptance — 62/66 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 4/23 approved changesets -- score normalized to 1
Inputs used
merged_prs62
open_issues1
closed_issues8
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.889
closed_unmerged_prs4
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.6/25Owner reach — 147 followers of vstorm-co
22/25Track record — 34 public repos, account ~5 yr old
Inputs used
followers147
owner_typeOrganization
is_verified
owner_loginvstorm-co
public_repos34
account_age_days1,968

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 36 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespydantic-ai-backend
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://vstorm-co.github.io/pydantic-ai-backend/
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsai-agent-framework, aiagentframework, anthropic, backend, chatgpt, docker, framework, gemini, llms, mcp, multiagent, openai, pydantic, pydantic-ai, python, sandbox, vstorm
has_wikiyes
homepagehttps://vstorm-co.github.io/pydantic-ai-backend/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 4/23 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

67Good · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 75 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.815
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes3,819
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 14 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 8 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.14
toolchain_manifests
dependency_bot_commit_share0.08
How it's scored
0/45Type-checkable code — Python without a type-check config
53.7/55Manageable file sizes — 2/84 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes130,628
source_files_sampled84
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files

Key facts

117GitHub stars
11contributors
167commits, last 12 months
0days since last push
38releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 23 ⇿
0Stars
23Forks
35Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

048121620242322025-122026-042026-07
Major 0Minor 2Patch 33
OpenSSF Scorecard 5.8 / 10
5.8aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-01 09:32 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/23 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.0pyproject.toml
PyPIwcmatch>=8.0pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Raw JSON report machine-readable
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          "body": "`ls_info` built each row's `path` from the shell-quoted directory, so listing\n`/my work` returned `'/my work'/notes.md` — a path that does not exist. A model\nhanded that row and asking to read it got a failure it could not recover from,\nand the directory was effectively unreachable. Plain paths quote to themselves,\nwhich is why nobody hit it.\n\nPreserved verbatim when the shell derivation moved into `_shell.py`, so it\npredates that; it affects every shell-derived sandbox.",
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          "body": "* fix: add async backend adapter support\n\nCloses #54\n\n* fix: preserve async sandbox execution\n\n* style: format async adapter tests\n\n---------\n\nCo-authored-by: Kacper Włodarczyk <111304236+DEENUU1@users.noreply.github.com>",
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          "body": "Path.write_text() opens in text mode, translating \\n to os.linesep on\nwrite while leaving existing \\r untouched. Content already containing\n\\r\\n (commonly emitted by LLMs) became \\r\\r\\n on Windows, leaving files\nwith blank lines between every line of code.\n\nStrip \\r before writing so text mode re-adds clean platform-native line\nendings, regardless of the line endings in the incoming content.\n\nFixes #51\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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          "body": "chore(release): 0.2.11 — document_support (PDF BinaryContent) in read_file",
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          "body": "…_file\n\nBump version 0.2.10 → 0.2.11 and add the CHANGELOG entry for #48, which\nadds document_support / max_document_bytes to create_console_toolset so\nread_file returns PDFs as BinaryContent(application/pdf) for document-capable\nmodels, kept separate from image_support.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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          "body": "Split PDF/document handling out from the image path so the two content\nkinds stay clearly distinct and can evolve independently (e.g. OCR for\nimages, native document understanding or text-extraction fallbacks for\nPDF/DOCX).\n\n- Add a dedicated `document_support` flag and `max_document_bytes` limit\n  \n[…]\nary_within_limit` for the not-found/empty and\n  size-limit guards. read_file checks image_support then document_support\n  in both edit_format variants.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
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          "headline": "refactor(console): separate document support from image support",
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          "body": "With image_support=True, read_file already returns raster images as\npydantic_ai.BinaryContent so multimodal models can see them, but PDFs\nfell through to the text path. BaseSandbox.read uses an awk command that\nemits an empty string for binary PDFs, so read_file(\"report.pdf\")\nreturned \"\" instead of \n[…]\neping the public API unchanged.\n\nThis unblocks multimodal PDF document understanding for downstream agents\non capable models (OpenAI/Anthropic/Gemini).\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
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          "headline": "style: ruff format'",
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          "oid": "08bc23b948612dc9e4cd243faabede9480907a56",
          "body": "# Conflicts:\n#\tCHANGELOG.md",
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          "headline": "Merge remote-tracking branch 'origin/main' into feat/0.2.9",
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                "name": "OpenSSF Scorecard: Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 10,
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                "details": [],
                "max_points": 10
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            ]
          },
          {
            "key": "release_discipline",
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            "notes": [
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                "code": "excluded_no_data",
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                  "components": [
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                "code": "weights_renormalized",
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              "releases_count": 38,
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              "days_since_latest_release": 0,
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                "key": "ships_releases",
                "name": "Ships releases",
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                "details": [
                  {
                    "code": "releases_published",
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                      "count": 38
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                "key": "release_recency",
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              {
                "key": "release_cadence",
                "name": "Release cadence",
                "detail": "a release every ~7.6 days",
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                "details": [
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                    "code": "release_cadence",
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                ],
                "max_points": 27
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              {
                "key": "openssf_scorecard_signed_releases",
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                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
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                "max_points": 10
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            "key": "abandonment",
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        ],
        "description": "Is the project alive — is code being written and are releases shipping?"
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      {
        "key": "community",
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        "name": "Community & Adoption",
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        "weight": 0.17,
        "metrics": [
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            "key": "popularity",
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            "components": [
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                "key": "stars",
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                "detail": "117 stars",
                "points": 33.5,
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                "details": [
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                    "code": "stars",
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              {
                "key": "forks",
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                "max_points": 25
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              {
                "key": "watchers",
                "name": "Watchers",
                "detail": "4 watchers",
                "points": 2.7,
                "status": "partial",
                "details": [
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                    "code": "watchers",
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                      "count": 4
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                ],
                "max_points": 15
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          },
          {
            "key": "community_health",
            "band": "good",
            "name": "Community health",
            "note": null,
            "notes": [],
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            "inputs": {
              "has_readme": true,
              "has_license": true,
              "readme_badges": null,
              "has_contributing": true,
              "has_issue_template": false,
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              "readme_badge_services": [],
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            "components": [
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                "key": "readme",
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                "points": 22.5,
                "status": "met",
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                "max_points": 22.5
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              {
                "key": "license",
                "name": "License",
                "detail": "recognized license (MIT)",
                "points": 22.5,
                "status": "met",
                "details": [
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                    "code": "license_standard",
                    "params": {}
                  },
                  {
                    "code": "license_spdx",
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                "max_points": 22.5
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                "key": "contributing_guide",
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                "points": 0,
                "status": "missed",
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                "key": "issue_template",
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                "key": "pr_template",
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            "key": "ecosystem_adoption",
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            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
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              {
                "code": "weights_renormalized",
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            "inputs": {
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              "ecosystems": "pypi",
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              "monthly_downloads": 191233
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            "components": [
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                "key": "monthly_downloads",
                "name": "Monthly downloads",
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                "status": "partial",
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                    "code": "downloads_monthly",
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                "max_points": 80
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              {
                "key": "registry_dependents",
                "name": "Registry dependents",
                "detail": "not reported by this ecosystem",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "not_reported_by_this_ecosystem",
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                "max_points": 20
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        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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      {
        "key": "governance",
        "band": "good",
        "name": "Sustainability & Governance",
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        "weight": 0.23,
        "metrics": [
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            "key": "maintainer_resilience",
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                "key": "commit_distribution",
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                "status": "partial",
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                "max_points": 22.5
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                "name": "Contributor breadth",
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                "status": "met",
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                "max_points": 13.5
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                "key": "openssf_scorecard_contributors",
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                "points": 6,
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                "details": [],
                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
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            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            "value": 77,
            "inputs": {
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            "components": [
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                "key": "issue_resolution",
                "name": "Issue resolution",
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                "points": 37.3,
                "status": "partial",
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                "max_points": 42
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
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                    "code": "decided_prs_merged",
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                "key": "newcomer_pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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            "inputs": {
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            "inputs": {
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                "key": "code_review",
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                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 2 contributing companies or organizations -- score normalized to 6",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "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",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "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"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 10
            },
            "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": "good",
        "name": "AI Readiness",
        "value": 67,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.815,
              "agent_instruction_files": [
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 3819
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "CLAUDE.md"
                    }
                  }
                ],
                "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": "75 of 92 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 75,
                      "sampled": 92
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 69,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0.14,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.08
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "14 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 14,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "8 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 8,
                      "sampled": 100
                    }
                  }
                ],
                "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": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 130628,
              "source_files_sampled": 84,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/84 source files over 60KB",
                "points": 53.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 84,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "weak",
            "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? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [
        "library"
      ],
      "scores": {
        "library": 6,
        "framework": 2
      },
      "primary": "library",
      "evidence": [
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "tags",
          "label": "framework",
          "source": "tag:framework",
          "weight": 2
        }
      ],
      "artifacts": [],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-01T09:32:35.244272Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/v/vstorm-co/pydantic-ai-backend.svg",
  "full_name": "vstorm-co/pydantic-ai-backend",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.3.1, schema v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.