Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-28 12:43 UTC

EBI-Metagenomics / mobilome-annotation-pipeline

JavaScript · Python · NextflowApache-2.0★ 112 stars⑂ 7 forkssince May 2022View on GitHub ↗

EBI-Metagenomics/mobilome-annotation-pipeline holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (45/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

71
overall / 100
Good

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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

MGnifyOrganization
172 followers225 public repossince Oct 2017

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

Metrics by category

Vitality

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

86Excellent · 21% of overall
How it's scored
36/36Push recency — last push 3 days ago
18/36Commit cadence — 26/52 weeks with commits
18/18Commit volume — 108 commits in the last year
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year108
human_commit_share1
days_since_last_push3
active_weeks_last_year26
How it's scored
27/27Ships releases — 14 releases published
36/36Release recency — latest release 11 days ago
19.8/27Release cadence — a release every ~78.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count14
latest_release_tagv5.0.0
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases78.9
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?

45Weak · 17% of overall
How it's scored
33.2/60Stars — 112 stars
6.5/25Forks — 7 forks
1.7/15Watchers — 3 watchers
Inputs used
forks7
stars112
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

62Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.2/22.5Commit distribution — top contributor authored 68% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.679
How it's scored
39.4/42Issue resolution — 94% of issues closed
27.6/30PR acceptance — 80/87 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 11/22 approved changesets -- score normalized to 5
Inputs used
merged_prs80
open_issues1
closed_issues15
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.938
closed_unmerged_prs7
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
16.1/25Owner reach — 172 followers of EBI-Metagenomics
25/25Track record — 225 public repos, account ~8 yr old
Inputs used
followers172
owner_typeOrganization
is_verified
owner_loginEBI-Metagenomics
public_repos225
account_age_days3,205

Engineering Quality

Are baseline engineering and documentation practices in place?

63Moderate · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 18 out of 18 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

55Moderate
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
homepage
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

52Moderate · 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 — 18 out of 18 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
3.8/7.5Code-Review — Found 11/22 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 15 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.
How it's scored
14.2/35Direct dependencies free of known advisories — 2 affected: biopython 1.85 (moderate 4.9), pytest 8.4.1 (moderate 6.8)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
30.9/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 222 days ago
Inputs used
sourceosv
advisories4
affected_packages2
assessed_packages16
unassessed_packages0
affected_by_severitymoderate 2
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 16 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.

57Moderate · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
24/40Legible commit history — 45 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.45
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes6,379
How it's scored
18/18One-command bootstrap — Taskfile.yaml
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesTaskfile.yaml
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — JavaScript without a type-check config
53.7/55Manageable file sizes — 1/43 source files over 60KB
Inputs used
primary_languageJavaScript
largest_source_bytes740,046
source_files_sampled43
oversized_source_files1

Key facts

112GitHub stars
6contributors
108commits, last 12 months
3days since last push
14releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'mobilome-annotation-pipeline' from its registry

More detail

Star and fork history 0 ★ / 7 ⇿
0Stars
7Forks
7Releases

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.

1234567712025-012025-082026-04
Major 2Minor 2Patch 3

Each point covers 2 days.

OpenSSF Scorecard 5.0 / 10
5.0aggregate

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 · 2026-07-28 12:43 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during GetBranch(main): error during branchesHandler.query: 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-Tests18 out of 18 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 11/22 approved changesets -- score normalized to 5
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not 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
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPInumpy==2.0.2pyproject.toml
PyPIbiopython==1.85pyproject.toml
PyPIpytest==8.4.1pyproject.toml
PyPIpytest-cov==6.2.1pyproject.toml
All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 4 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbiopython1.85direct
PyPInumpy2.0.2direct
PyPIpytest8.4.1direct
PyPIpytest-cov6.2.1direct
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.14.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPImobilome-annotation-pipeline2.0.2indirect
PyPIpackaging26.2indirect
PyPIpluggy1.6.0indirect
PyPIpygments2.20.0indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.15.0indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 16 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 2 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
biopython1.85directmoderate21.87
pytest8.4.1directmoderate29.0.3

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

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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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