Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 20:24 UTC

mistralai / mistral-vibe

Minimal CLI coding agent by Mistral

PythonApache-2.0★ 4,878 stars⑂ 675 forkssince Dec 2025View on GitHub ↗
KindCommand-line toolLibraryMCP serverNetwork serviceTerminal interfacehow this is determined

mistralai/mistral-vibe holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (58/100). It was last updated today. 2 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Mistral AIOrganization · verified domain
8,953 followers28 public repossince May 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImistral-vibe2.24.511,782,207820 days agoaiclicoding-assistantdeveloper-toolsllmmistral

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
25.6/36Commit cadence37/52 weeks with commits
17.3/18Commit volume83 commits in the last year
10/10OpenSSF Scorecard: Maintained27 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year83
human_commit_share1
days_since_last_push0
active_weeks_last_year37
How it's scored
27/27Ships releases83 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~3.3 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count83
latest_release_tagv2.24.5
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.3

Community & Adoption

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

86Excellent · 17% of overall
How it's scored
59.8/60Stars4,878 stars
23.6/25Forks675 forks
7.7/15Watchers25 watchers
Inputs used
forks675
stars4,878
watchers25
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads11,782,207 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmistral-vibe
dependents
ecosystemspypi
total_downloads
monthly_downloads11,782,207
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?

73Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.6/22.5Commit distributiontop contributor authored 44% of commits
13.5/13.5Contributor breadth10 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled10
top_contributor_share0.44
How it's scored
31.7/42Issue resolution76% of issues closed
10.4/30PR acceptance84/242 decided PRs merged
0/13Newcomer PR acceptance0/12 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-ReviewFound 29/30 approved changesets -- score normalized to 9
Inputs used
merged_prs84
open_issues109
closed_issues335
prs_merged_7d2
prs_decided_7d4
prs_merged_30d8
prs_decided_30d20
issue_closed_ratio0.755
closed_unmerged_prs158
first_time_authors_30d10
first_time_prs_merged_30d0
first_time_prs_decided_30d12
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach8,953 followers of mistralai
17.3/25Track record28 public repos, account ~3 yr old
Inputs used
followers8,953
owner_typeOrganization
is_verifiedyes
owner_loginmistralai
public_repos28
account_age_days1,213

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history82 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmistral-vibe
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests29 out of 29 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://github.com/mistralai/mistral-vibe#readme
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_sitehttps://github.com/mistralai/mistral-vibe#readme
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

67Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-ReviewFound 29/30 approved changesets -- score normalized to 9
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained27 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
6/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.9

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages142
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 142 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

58Moderate · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history70 of 84 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.833
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes5,354
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentNix, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 84
0/8Automated maintenanceno automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixyes
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.3/55Manageable file sizes15/1,124 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes224,507
source_files_sampled1,124
oversized_source_files15
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

4,878GitHub stars
10contributors
83commits, last 12 months
0days since last push
83releases
2bus factor
109open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:mistral-vibe@2.24.5; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 675 ⇿
0Stars
675Forks
82Releases

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.

0125250375500625750643382025-122026-042026-08
Major 2Minor 26Patch 54
OpenSSF Scorecard 5.9 / 10
5.9aggregate

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 · 2026-08-27 20:24 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 29/30 approved changesets -- score normalized to 9
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained27 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 99
RegistryPackageVersion constraintManifest
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PyPIwebsockets==16.0pyproject.toml
PyPIzipp==3.23.1pyproject.toml
PyPIzstandard==0.25.0pyproject.toml
All dependencies 142

Full resolved dependency set from the GitHub dependency graph: 99 direct and 43 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIjinja23.1.6indirect
PyPImacholib1.16.4indirect
PyPImarkupsafe3.0.3indirect
PyPImistral-vibe2.24.5indirect
PyPInh30.3.5indirect
PyPInodeenv1.10.0indirect
PyPIpefile2024.8.26indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
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PyPIpyinstrument5.1.2indirect
PyPIpyright1.1.409indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-textual-snapshot1.1.0indirect
PyPIpytest-timeout2.4.0indirect
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PyPIreadme-renderer44.0indirect
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PyPIsyrupy4.8.0indirect
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PyPItwine6.2.0indirect
PyPItypos1.45.1indirect
PyPIuv0.12.3indirect
PyPIvirtualenv21.2.4indirect
PyPIvulture2.16indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 142 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 statisticsPyPI.