Public recordGood
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-25 12:19 UTC
equinor / fmu-tools
fmu-tools is a library containing tools for pre- and post-processing in a Fast Model Update (FMU) context
equinor/fmu-tools holds a health index of 80 out of 100, placing it in the Good band. It scores highest on Vitality (94/100) and lowest on AI Readiness (46/100). It was last updated today. 3 contributors account for most of its recent work.
80
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
80
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
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.
Ownership
EquinorOrganization
1,757 followers751 public repossince Dec 2010
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | fmu-tools | 1.32.1 | - | 39 | 23 days ago | energysubsurfacereservoirscientificengineering |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
94
Development activity
90Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 26.3/36 | Commit cadence — 38/52 weeks with commits |
| 18/18 | Commit volume — 118 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 118 |
| human_commit_share | 0.69 |
| days_since_last_push | 0 |
| active_weeks_last_year | 38 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 52 releases published |
| 36/36 | Release recency — latest release 23 days ago |
| 27/27 | Release cadence — a release every ~29.4 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 52 |
| latest_release_tag | 1.32.1 |
| releases_from_tags | no |
| days_since_latest_release | 23 |
| mean_days_between_releases | 29.4 |
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?
55
Popularity & adoption
35At risk
How it's scored
| 17.5/60 | Stars — 13 stars |
| 10.7/25 | Forks — 20 forks |
| 6.5/15 | Watchers — 16 watchers |
Inputs used
| forks | 20 |
| stars | 13 |
| watchers | 16 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
77Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (LGPL-3.0) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
83
How it's scored
| 36/54 | Bus factor — 3 contributor(s) cover half of all commits |
| 17.6/22.5 | Commit distribution — top contributor authored 22% of commits |
| 13.5/13.5 | Contributor breadth — 19 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 3 |
| contributors_sampled | 19 |
| top_contributor_share | 0.216 |
Issue & PR responsiveness
88Excellent
How it's scored
| 40/46.8 | Issue resolution — 86% of issues closed |
| 33.3/38.3 | PR acceptance — 280/322 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 280 |
| open_issues | 22 |
| closed_issues | 130 |
| issue_closed_ratio | 0.855 |
| closed_unmerged_prs | 42 |
Ownership & stewardship
78Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 23.3/25 | Owner reach — 1,757 followers of equinor |
| 25/25 | Track record — 751 public repos, account ~15 yr old |
Inputs used
| followers | 1,757 |
| owner_type | Organization |
| is_verified | — |
| owner_login | equinor |
| public_repos | 751 |
| account_age_days | 5,699 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 23 days ago |
| 20/20 | Version history — 39 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | fmu-tools |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 23 |
Engineering Quality
Are baseline engineering and documentation practices in place?
77
Engineering practices
68Moderate
How it's scored
| 24/24 | CI workflows — 4 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://equinor.github.io/fmu-tools/ |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | https://equinor.github.io/fmu-tools/ |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
89
Security posture
86Excellent
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 8.6 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 50 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:fmu-tools@1.32.1 runtime dependency closure — what installing the published package pulls in — 50 packages. Reachability is not analyzed.
AI Readiness
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.
46
Agent context & guidance
17Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 17/40 | Legible commit history — 22 of 69 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.319 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
55Moderate
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — mypy.ini |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 8/8 | Automated maintenance — 31 of the last 100 commits are automated dependency updates |
| 4/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | mypy.ini |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.31 |
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (mypy.ini) |
| 54.3/55 | Manageable file sizes — 1/84 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 74,386 |
| source_files_sampled | 84 |
| oversized_source_files | 1 |
Key facts
13GitHub stars
19contributors
118commits, last 12 months
0days since last push
52releases
3bus factor
22open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
More detail
Star and fork history 0 ★ / 20 ⇿
0Stars
20Forks
46Releases
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.
Major 0Minor 30Patch 14
Each point covers 6 days.
OpenSSF Scorecard 8.6 / 10
8.6aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal 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 |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 4 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 4 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 10
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | disjoint-set | — | pyproject.toml |
| PyPI | jsonschema | >=3.2.0 | pyproject.toml |
| PyPI | numpy | >=1.23.5 | pyproject.toml |
| PyPI | openpyxl | >=2.6 | pyproject.toml |
| PyPI | pandas | >=0.21 | pyproject.toml |
| PyPI | pydantic | — | pyproject.toml |
| PyPI | pyyaml | >=5.3 | pyproject.toml |
| PyPI | scipy | >=1.2 | pyproject.toml |
| PyPI | xlrd | >=1.2 | pyproject.toml |
| PyPI | xtgeo | >=4.23.0 | pyproject.toml |
All dependencies 103
Full resolved dependency set from the GitHub dependency graph: 12 direct and 91 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | disjoint-set | 0.9.0 | direct |
| PyPI | jsonschema | 4.26.0 | direct |
| PyPI | numpy | 2.4.6 | direct |
| PyPI | numpy | 2.5.0 | direct |
| PyPI | openpyxl | 3.1.5 | direct |
| PyPI | pandas | 3.0.3 | direct |
| PyPI | pydantic | 2.13.4 | direct |
| PyPI | pyyaml | 6.0.3 | direct |
| PyPI | scipy | 1.17.1 | direct |
| PyPI | scipy | 1.18.0 | direct |
| PyPI | xlrd | 2.0.2 | direct |
| PyPI | xtgeo | 4.24.5 | direct |
| PyPI | alabaster | 1.0.0 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | ast-serialize | 0.5.0 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | autoapi | 2.0.1 | indirect |
| PyPI | babel | 2.18.0 | indirect |
| PyPI | certifi | 2026.6.17 | indirect |
| PyPI | charset-normalizer | 3.4.7 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | coverage | 7.14.3 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | deprecation | 2.1.0 | indirect |
| PyPI | docutils | 0.21.2 | indirect |
| PyPI | emcee | 3.1.6 | indirect |
| PyPI | et-xmlfile | 2.0.0 | indirect |
| PyPI | execnet | 2.1.2 | indirect |
| PyPI | fonttools | 4.63.0 | indirect |
| PyPI | gstools | 1.7.0 | indirect |
| PyPI | gstools-cython | 1.2.0 | indirect |
| PyPI | h5py | 3.16.0 | indirect |
| PyPI | hankel | 1.2.2 | indirect |
| PyPI | hdf5plugin | 6.0.0 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | imagesize | 2.0.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | joblib | 1.5.3 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | librt | 0.11.0 | indirect |
| PyPI | markdown-it-py | 4.2.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib | 3.11.0 | indirect |
| PyPI | mdit-py-plugins | 0.6.1 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | meshio | 5.3.5 | indirect |
| PyPI | mpmath | 1.4.1 | indirect |
| PyPI | mypy | 2.1.0 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | myst-parser | 5.1.0 | indirect |
| PyPI | packaging | 26.2 | indirect |
| PyPI | pathspec | 1.1.1 | indirect |
| PyPI | pillow | 12.3.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pyarrow | 24.0.0 | indirect |
| PyPI | pydantic-core | 2.46.4 | indirect |
| PyPI | pyevtk | 1.7.0 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pytest | 9.1.1 | indirect |
| PyPI | pytest-cov | 7.1.0 | indirect |
| PyPI | pytest-mock | 3.15.1 | indirect |
| PyPI | pytest-runner | 6.0.1 | indirect |
| PyPI | pytest-snapshot | 0.9.0 | indirect |
| PyPI | pytest-xdist | 3.8.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | requests | 2.34.2 | indirect |
| PyPI | resfo | 5.0.1 | indirect |
| PyPI | rich | 15.0.0 | indirect |
| PyPI | roffio | 1.1.1 | indirect |
| PyPI | rpds-py | 2026.5.1 | indirect |
| PyPI | rstcheck | 6.2.5 | indirect |
| PyPI | rstcheck-core | 1.3.0 | indirect |
| PyPI | ruff | 0.15.20 | indirect |
| PyPI | segyio | 1.9.14 | indirect |
| PyPI | shapely | 2.1.2 | indirect |
| PyPI | shellingham | 1.5.4 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | snowballstemmer | 3.1.1 | indirect |
| PyPI | sphinx | 8.1.3 | indirect |
| PyPI | sphinx-argparse | 0.6.0 | indirect |
| PyPI | sphinx-autodoc-typehints | 2.3.0 | indirect |
| PyPI | sphinx-rtd-theme | 3.1.0 | indirect |
| PyPI | sphinxcontrib-applehelp | 2.0.0 | indirect |
| PyPI | sphinxcontrib-devhelp | 2.0.0 | indirect |
| PyPI | sphinxcontrib-htmlhelp | 2.1.0 | indirect |
| PyPI | sphinxcontrib-jquery | 4.1 | indirect |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirect |
| PyPI | sphinxcontrib-qthelp | 2.0.0 | indirect |
| PyPI | sphinxcontrib-serializinghtml | 2.0.0 | indirect |
| PyPI | tomli | 2.4.1 | indirect |
| PyPI | typer | 0.26.7 | indirect |
| PyPI | types-pyyaml | 6.0.12.20260518 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | tzdata | 2026.2 | indirect |
| PyPI | urllib3 | 2.7.0 | indirect |
| PyPI | xtgeoviz | 0.3.1 | indirect |
Dependency advisories 0
Installing pypi:fmu-tools@1.32.1 pulls in 50 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
{
"data": {
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"languages": {
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"Python": 717622,
"OpenEdge ABL": 368221
},
"pushed_at": "2026-07-25T00:24:46Z",
"created_at": "2020-03-05T13:37:29Z",
"owner_type": "Organization",
"updated_at": "2026-07-23T08:49:17Z",
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{
"tag": "1.24.0",
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},
{
"tag": "1.23.0",
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"tag": "1.22.0",
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},
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},
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"tag": "1.20.2",
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},
{
"tag": "v1.19.2",
"kind": "patch",
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},
{
"tag": "1.20.1",
"kind": "patch",
"published_at": "2025-03-10T08:28:43Z"
},
{
"tag": "1.20.0",
"kind": "minor",
"published_at": "2025-03-07T12:56:51Z"
},
{
"tag": "v1.19.1",
"kind": "patch",
"published_at": "2025-02-12T11:41:45Z"
},
{
"tag": "v1.19.0",
"kind": "minor",
"published_at": "2025-01-09T11:36:33Z"
},
{
"tag": "v1.18.1",
"kind": "patch",
"published_at": "2025-01-03T08:41:53Z"
},
{
"tag": "v1.18.0",
"kind": "minor",
"published_at": "2024-12-16T13:24:38Z"
},
{
"tag": "v1.17.0",
"kind": "minor",
"published_at": "2024-12-09T06:14:27Z"
},
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"published_at": "2024-10-08T10:12:11Z"
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{
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"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"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:fmu-tools@1.32.1 runtime dependency closure — what installing the published package pulls in — 50 packages. Reachability is not analyzed.",
"notes": [
{
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},
{
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{
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}
},
{
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}
],
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 50,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
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"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
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"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
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"code": "no_indirect_advisories",
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],
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},
{
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"points": 0,
"status": "excluded",
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{
"code": "advisories_no_publication_date",
"params": {}
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],
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]
},
{
"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": 50,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"policy_countries": [
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"Iran",
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"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
{
"key": "policy_exposure_multiplier",
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"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": "at_risk",
"name": "AI Readiness",
"value": 46,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
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"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 17,
"inputs": {
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"legible_history_share": 0.319,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
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"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
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{
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"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 17,
"status": "partial",
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"sampled": 69
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}
],
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}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 55,
"inputs": {
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"has_tests": true,
"lockfiles": [
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"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
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"has_linter_config": false,
"typecheck_configs": [
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"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0.31
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
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"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
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"detail": "mypy.ini",
"points": 11,
"status": "met",
"details": [
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"params": {
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}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
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}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
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"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
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}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "31 of the last 100 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
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"sampled": 100
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}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 4,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
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"note": null,
"notes": [],
"value": 81,
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"largest_source_bytes": 74386,
"source_files_sampled": 84,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (mypy.ini)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
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"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
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"detail": "1/84 source files over 60KB",
"points": 54.3,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
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"sampled": 84,
"oversized": 1
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}
],
"max_points": 55
}
]
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-25T12:19:44.077797Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/e/equinor/fmu-tools.svg",
"full_name": "equinor/fmu-tools",
"license_state": "standard",
"license_spdx": "LGPL-3.0"
}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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.