Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 15:07 UTC

vaaraio / vaara

Accountable Autonomy: open-source evidence layer that gates every AI agent tool call against your policy and writes a hash-chained record an auditor verifies offline, without trusting you. Root-agnostic; binds to TPM 2.0 / SEV-SNP when present. Your environment, no SaaS, no telemetry. AGPL-3.0.

PythonAGPL-3.0★ 15 stars⑂ 1 forksince Apr 2026View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined
#agent-governance#agent-security#ai-act#ai-agents#ai-governance#attestation#audit-trail#compliance#eu-ai-act#llm-security#python#runtime-monitoring#article-12#mcp#sovereign-ai#confidential-computing#ima#remote-attestation#tpm#trusted-computing

vaaraio/vaara holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on AI Readiness (92/100) and lowest on Sustainability & Governance (51/100). It was last updated today. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Henri SirkkavaaraPersonal account
5 followers8 public repossince Mar 2026Vaara

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIvaara2.15.07,4752551 day agoaiai-agentsai-governanceagent-governanceai-acteu-ai-actarticle-14complianceaudit-trailrisk-scoringconformal-predictionovertattestationruntime-monitoring

Metrics by category

Vitality

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

88Excellent · 21% of overall

Development activity

82Excellent
How it's scored
36/36Push recency — last push 0 days ago
18/36Commit cadence — 26/52 weeks with commits
18/18Commit volume — 930 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year930
human_commit_share0.97
days_since_last_push0
active_weeks_last_year26

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~1 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count100
latest_release_tagv2.15.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

19Critical
How it's scored
18.6/60Stars — 15 stars
0/25Forks — 1 forks
0/15Watchers — 1 watchers
Inputs used
forks1
stars15
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (AGPL-3.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io, www.bestpractices.dev
has_pull_request_templateyes

Ecosystem adoption (downloads)

64Moderate
How it's scored
51.6/80Monthly downloads — 7,475 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesvaara
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,475
unverified_packages_excluded—
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?

51Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

80Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
27.8/30PR acceptance — 913/987 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs913
open_issues0
closed_issues10
prs_merged_7d42
prs_decided_7d44
prs_merged_30d50
prs_decided_30d52
issue_closed_ratio1
closed_unmerged_prs74
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

30At Risk
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
5.6/25Owner reach — 5 followers of vaaraio
8.2/25Track record — 8 public repos, account ~0 yr old
Inputs used
followers5
owner_typeUser
is_verified—
owner_loginvaaraio
public_repos8
account_age_days222
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 255 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvaara
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 16 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://vaara.io
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsagent-governance, agent-security, ai-act, ai-agents, ai-governance, attestation, audit-trail, compliance, eu-ai-act, llm-security, python, runtime-monitoring, article-12, mcp, sovereign-ai, confidential-computing, ima, remote-attestation, tpm, trusted-computing
has_wikiyes
homepagehttps://vaara.io
docs_sitehttps://vaara.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

86Excellent · 16% of overall

Security posture

82Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
0/7.5Code-Review — Found 0/28 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate8.2

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages5
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:vaara@2.15.0 runtime dependency closure — what installing the published package pulls in — 5 packages. Reachability is not analyzed.

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.

92Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 97 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes4,277

Verify loop (build / test / typecheck)

86Excellent
How it's scored
18/18One-command bootstrap — Makefile, ietf/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — clients/ts/tsconfig.json, src/vaara/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, ietf/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsclients/ts/tsconfig.json, src/vaara/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (clients/ts/tsconfig.json, src/vaara/py.typed)
54.5/55Manageable file sizes — 9/947 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes353,693
source_files_sampled947
oversized_source_files9

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — docs/openapi.yaml
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filesdocs/openapi.yaml
interfaces_expected_ofnetwork-service

Key facts

15GitHub stars
1contributors
930commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 8.2 / 10
8.2aggregate

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 · 2026-10-20 15:07 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
0Code-ReviewFound 0/28 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIcbor2>=5.4pyproject.toml
PyPIcryptography>=41.0pyproject.toml
PyPIrfc8785>=0.1.4pyproject.toml
All dependencies 52

Full resolved dependency set from the GitHub dependency graph: 5 direct and 47 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcbor2—direct
PyPIcryptography—direct
PyPIcryptography50.0.2direct
PyPIrfc8785—direct
PyPIrfc87850.1.4direct
npmtypescript5.9.3indirect
PyPIasn1crypto—indirect
PyPIazure-ai-contentsafety—indirect
PyPIbandit—indirect
PyPIboto3—indirect
PyPIbuild1.4.3indirect
PyPIcffi2.1.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.2indirect
PyPIcrewai—indirect
PyPIdilithium-py—indirect
PyPIfastapi—indirect
PyPIgoogle-cloud-modelarmor—indirect
PyPIgradio—indirect
PyPIguardrails-ai—indirect
PyPIhiero-sdk-python—indirect
PyPIhttpx—indirect
PyPIhypothesis—indirect
PyPIhypothesis6.168.5indirect
PyPIiniconfig2.3.1indirect
PyPIjoblib—indirect
PyPIllm-guard—indirect
PyPImypy—indirect
PyPInemoguardrails—indirect
PyPInumpy—indirect
PyPIpackaging26.1indirect
PyPIpackaging26.3indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.11indirect
PyPIpygments2.21.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpyyaml—indirect
PyPIrebuff—indirect
PyPIreportlab—indirect
PyPIruff—indirect
PyPIruff0.17.0indirect
PyPIscikit-learn—indirect
PyPIsentence-transformers—indirect
PyPIsetuptools—indirect
PyPIsortedcontainers2.4.0indirect
PyPItorch—indirect
PyPIuvicorn—indirect
PyPIvaara—indirect
PyPIxgboost—indirect
Dependency advisories 0

Installing pypi:vaara@2.15.0 pulls in 5 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.