Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 07:43 UTC

jonnyeclectic / boost

Package manager for AI coding skills — search, install, and sync SKILL.md skills across Claude Code, Windsurf, and Cursor

PythonApache-2.0★ 2 stars⑂ 0 forkssince Jul 2026View on GitHub ↗
KindCommand-line toolhow this is determined

jonnyeclectic/boost holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (49/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Jonathan ReyesPersonal account
6 followers19 public repossince Sep 2014

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
PyPIboost-skill-cli1.2.1096,8305630 days agoaiskillspackage-managerclaude-codecursorwindsurfcli

Metrics by category

Vitality

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

72Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
5.5/36Commit cadence — 8/52 weeks with commits
18/18Commit volume — 1,140 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year1,140
human_commit_share0.95
days_since_last_push0
active_weeks_last_year8
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.2.109
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.2

Community & Adoption

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

49Weak · 17% of overall
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
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 (Apache-2.0)
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io, www.bestpractices.dev
has_pull_request_templateyes
How it's scored
51.1/80Monthly downloads — 6,830 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesboost-skill-cli
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,830
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?

58Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.9/22.5Commit distribution — top contributor authored 74% of commits
4.1/13.5Contributor breadth — 3 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.738
How it's scored
40.9/42Issue resolution — 98% of issues closed
27.2/30PR acceptance — 731/807 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/9 approved changesets -- score normalized to 0
Inputs used
merged_prs731
open_issues1
closed_issues39
prs_merged_7d18
prs_decided_7d40
prs_merged_30d18
prs_decided_30d57
issue_closed_ratio0.975
closed_unmerged_prs76
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.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.1/25Owner reach — 6 followers of jonnyeclectic
21.5/25Track record — 19 public repos, account ~11 yr old
Inputs used
followers6
owner_typeUser
is_verified—
owner_loginjonnyeclectic
public_repos19
account_age_days4,377
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 0 days ago
20/20Version history — 563 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesboost-skill-cli
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 32 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.mjs, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 10 out of 10 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://jonnyeclectic.github.io/boost/
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsai-agents, claude-code, cli, coding-assistant, cursor, developer-tools, llm, package-manager, python, windsurf
has_wikiyes
homepagehttps://jonnyeclectic.github.io/boost/
docs_sitehttps://jonnyeclectic.github.io/boost/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall
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 — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10
1.8/2.5CII-Best-Practices — badge detected: Silver
0/7.5Code-Review — Found 0/9 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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories2
affected_packages2
assessed_packages305
unassessed_packages10
affected_by_severityhigh 1, moderate 1
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 305 resolved dependencies against OSV. 10 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

91Excellent · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 93 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.979
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes49,929
How it's scored
18/18One-command bootstrap — Makefile, noxfile.py
22/22Automated tests
11/11Lint / format config — eslint.config.mjs, pyproject.toml ([tool.ruff])
11/11Static type checking — boost_langchain/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 26 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, noxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configsboost_langchain/py.typed
agent_commit_share0.26
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (boost_langchain/py.typed)
52.2/55Manageable file sizes — 19/376 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes165,265
source_files_sampled376
oversized_source_files19
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

2GitHub stars
3contributors
1,140commits, last 12 months
0days since last push
100releases
1bus factor
1open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'boost-skill-cli' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for boost-skill-cli carried forward from the previous scan (stats endpoint unavailable this scan)
  • deps.dev does not index pypi:boost-skill-cli@1.2.109; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 7.0 / 10
7.0aggregate

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 · 2026-09-11 07:43 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests10 out of 10 merged PRs checked by a CI test -- score normalized to 10
7CII-Best-Practicesbadge detected: Silver
0Code-ReviewFound 0/9 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
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
8Vulnerabilities2 existing vulnerabilities detected
All dependencies 315

Full resolved dependency set from the GitHub dependency graph: 0 direct and 315 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIpyproject-hooks1.2.0indirect
PyPIpyright1.1.411indirect
PyPIpyroma5.0.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-benchmark—indirect
PyPIpytest-cov7.1.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-ft8.0.0indirect
PyPIradon6.0.1indirect
PyPIragas—indirect
PyPIranx—indirect
PyPIreadme-renderer46.0indirect
PyPIrefurb2.3.1indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIruff0.16.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsetproctitle1.3.7indirect
PyPIsetuptools—indirect
PyPIsetuptools84.0.0indirect
PyPIsetuptools-scm—indirect
PyPIshellcheck-py0.11.0.1indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsqlite-vec—indirect
PyPItabulate0.10.0indirect
PyPItextual8.2.8indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
PyPIvulture2.16indirect
PyPIwcwidth0.8.3indirect
PyPIwheel-filename1.4.2indirect
PyPIxenon0.9.3indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 305 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct. 10 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
js-yaml4.3.1indirecthigh14.3.2
colord2.9.3indirectmoderate12.9.4

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.