Public recordGood
Software health reportschema 0.27.0 · metrics 2.3.1 · 2026-08-01 16:15 UTC
precice / fenicsx-adapter
preCICE adapter for the open source computing platform FEniCSx
precice/fenicsx-adapter holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on AI Readiness (38/100). It was last updated 15 days ago. A single contributor accounts for most of its recent work.
77
overall / 100Software 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.
77
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)
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).
Ownership
preCICEOrganization
257 followers64 public repossince May 2015
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 | fenicsxprecice | 1.0.1 | 259 | 3 | 57 days ago | fenicsxpreciceadapter |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
79
Development activity
65Good
How it's scored
| 28.8/36 | Push recency — last push 15 days ago |
| 13.8/36 | Commit cadence — 20/52 weeks with commits |
| 15.6/18 | Commit volume — 53 commits in the last year |
| 7/10 | OpenSSF Scorecard: Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7 |
Inputs used
| commits_last_year | 53 |
| human_commit_share | 1 |
| days_since_last_push | 15 |
| active_weeks_last_year | 20 |
Release discipline
100Exceptional
How it's scored
| 27/27 | Ships releases — 4 releases published |
| 36/36 | Release recency — latest release 57 days ago |
| 27/27 | Release cadence — a release every ~28 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 4 |
| latest_release_tag | v1.0.1 |
| releases_from_tags | no |
| days_since_latest_release | 57 |
| mean_days_between_releases | 28 |
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?
42
Popularity & adoption
30At Risk
How it's scored
| 20/60 | Stars — 18 stars |
| 8.7/25 | Forks — 12 forks |
| 1.7/15 | Watchers — 3 watchers |
Inputs used
| forks | 12 |
| stars | 18 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
57Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (LGPL-3.0) |
| 0/18 | 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 |
| readme_badges | — |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | yes |
How it's scored
| 32.2/80 | Monthly downloads — 259 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | fenicsxprecice |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 259 |
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?
66
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 8.3/22.5 | Commit distribution — top contributor authored 63% of commits |
| 13.5/13.5 | Contributor breadth — 13 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 13 |
| top_contributor_share | 0.63 |
How it's scored
| 27.6/42 | Issue resolution — 66% of issues closed |
| 25.5/30 | PR acceptance — 40/47 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 9/15 approved changesets -- score normalized to 6 |
Inputs used
| merged_prs | 40 |
| open_issues | 12 |
| closed_issues | 23 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.657 |
| closed_unmerged_prs | 7 |
| 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.
Ownership & stewardship
72Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 17.3/25 | Owner reach — 257 followers of precice |
| 25/25 | Track record — 64 public repos, account ~11 yr old |
Inputs used
| followers | 257 |
| owner_type | Organization |
| is_verified | — |
| owner_login | precice |
| public_repos | 64 |
| account_age_days | 4,089 |
Package maintenance
92Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 57 days ago |
| 12/20 | Version history — 3 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | fenicsxprecice |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 57 |
Engineering Quality
Are baseline engineering and documentation practices in place?
86
Engineering practices
94Exceptional
How it's scored
| 24/24 | CI workflows — 10 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 13 out of 13 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 | yes |
| has_precommit_config | yes |
Documentation
75Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| 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?
59
Security posture
49Weak
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 13 out of 13 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 |
| 4.5/7.5 | Code-Review — Found 9/15 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 5.2/7.5 | Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | 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 | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4.9 |
Excluded from scoring (no data or not applicable): signed_releases. Remaining weights renormalized.
Dependency advisories
100Exceptional
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 | 10 |
| 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:fenicsxprecice@1.0.1 runtime dependency closure — what installing the published package pulls in — 10 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.
38
Agent context & guidance
24At Risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 24.5/40 | Legible commit history — 46 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.46 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/17 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 27,099 |
| source_files_sampled | 17 |
| oversized_source_files | 0 |
Key facts
18GitHub stars
13contributors
53commits, last 12 months
15days since last push
4releases
1bus factor
12open 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 ★ / 12 ⇿
0Stars
12Forks
4Releases
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 1Minor 0Patch 1
Each point covers 4 days.
OpenSSF Scorecard 4.9 / 10
4.9aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 1 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 13 out of 13 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 |
| 6 | Code-Review | Found 9/15 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 3 contributing companies or organizations -- score normalized to 10 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 7 | Maintained | 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | pyprecice | ~=3.0 | pyproject.toml |
| PyPI | scipy | <1.15.0 | pyproject.toml |
| PyPI | numpy | >=1.13.3 | pyproject.toml |
| PyPI | mpi4py | >=3 | pyproject.toml |
| PyPI | precice-adapter-schema | — | pyproject.toml |
All dependencies 5
Full resolved dependency set from the GitHub dependency graph: 5 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | mpi4py | — | direct |
| PyPI | numpy | — | direct |
| PyPI | precice-adapter-schema | — | direct |
| PyPI | pyprecice | — | direct |
| PyPI | scipy | — | direct |
Dependency advisories 0
Installing pypi:fenicsxprecice@1.0.1 pulls in 10 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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{
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{
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{
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{
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],
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{
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"value": 86,
"weight": 0.19,
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"key": "engineering_practices",
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"note": null,
"notes": [],
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{
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{
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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{
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],
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},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 59,
"weight": 0.16,
"metrics": [
{
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"notes": [
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"scorecard_version": "v5.5.0",
"checks_inconclusive": 1,
"scorecard_aggregate": 4.9
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"components": [
{
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
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"points": 0.8,
"status": "partial",
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},
{
"key": "ci_tests",
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"points": 2.5,
"status": "met",
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},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "code_review",
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"points": 4.5,
"status": "partial",
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
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},
{
"key": "maintained",
"name": "Maintained",
"detail": "8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7",
"points": 5.2,
"status": "partial",
"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",
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"points": 0,
"status": "excluded",
"details": [
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"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": "dependency_advisories",
"band": "exceptional",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:fenicsxprecice@1.0.1 runtime dependency closure — what installing the published package pulls in — 10 packages. Reachability is not analyzed.",
"notes": [
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"params": {
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}
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{
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"code": "advisories_scope_published",
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}
},
{
"code": "advisories_reachability",
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}
],
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"affected_packages": 0,
"assessed_packages": 10,
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"direct_affected_packages": 0
},
"components": [
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"status": "met",
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}
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"max_points": 35
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{
"key": "indirect_dependencies_free_of_known_advisories",
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],
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{
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},
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"key": "malicious_dependencies",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"packages": [],
"red_flag": false,
"assessed_packages": 10,
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"direct_malicious_packages": 0,
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},
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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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"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
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"commit_weight_rule": {
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"min_commit_share": 0.1
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"review_only_matches": 0,
"below_threshold_exposures": [],
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"components": [
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"key": "policy_exposure_multiplier",
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}
],
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]
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],
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},
{
"key": "ai_readiness",
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"weight": 0.04,
"metrics": [
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"key": "ai_agent_context",
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"inputs": {
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"agent_instruction_max_bytes": null
},
"components": [
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"status": "missed",
"details": [
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
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"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 24.5,
"status": "partial",
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"code": "legible_history",
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},
{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
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"lockfiles": [],
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"bootstrap_files": [],
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"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "automated_tests",
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"points": 22,
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},
{
"key": "lint_format_config",
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"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",
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"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
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}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
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"code": "no_dependency_automation",
"params": {}
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],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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},
{
"key": "ai_code_legibility",
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"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
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"largest_source_bytes": 27099,
"source_files_sampled": 17,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
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"points": 0,
"status": "missed",
"details": [
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"code": "no_typecheck_config_language",
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],
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},
{
"key": "manageable_file_sizes",
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"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
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"sampled": 17,
"oversized": 0
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],
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}
]
}
],
"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
},
"primary": "library",
"evidence": [
{
"tier": "distribution",
"label": "library",
"source": "registry:pypi",
"weight": 6
}
],
"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"
],
"report_type": "repository",
"generated_at": "2026-08-01T16:15:58.041369Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/precice/fenicsx-adapter.svg",
"full_name": "precice/fenicsx-adapter",
"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 v2.3.1, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.