Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 17:42 UTC

yusufkaraaslan / Skill_Seekers

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

PythonMIT★ 15,005 stars⑂ 1,530 forkssince Oct 2025View on GitHub ↗
KindNetwork serviceCommand-line toolLibraryMCP serverWeb interfacehow this is determined
#ai-tools#automation#claude-ai#claude-skills#documentation#documentation-generator#python#web-scraping#mcp#mcp-server#github#ocr#pdf#ast-parser#code-analysis#conflict-detection#github-scraper#multi-source

yusufkaraaslan/Skill_Seekers holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (95/100) and lowest on Security (49/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

yusyusPersonal account
255 followers32 public repossince Mar 2015

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
PyPIskill-seekers3.9.122,0942947 days agoclaudeaidocumentationscrapingskillsllmmcpautomationi18nchineseinternational

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 2 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 873 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year873
human_commit_share1
days_since_last_push2
active_weeks_last_year41

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 34 releases published
36/36Release recency — latest release 47 days ago
27/27Release cadence — a release every ~17.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count34
latest_release_tagv3.9.1
releases_from_tagsno
days_since_latest_release47
mean_days_between_releases17.1
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?

83Excellent · 17% of overall

Popularity & adoption

95Exceptional
How it's scored
60/60Stars — 15,005 stars
25/25Forks — 1,530 forks
10.3/15Watchers — 73 watchers
Inputs used
forks1,530
stars15,005
watchers73
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

72Good
How it's scored
57.9/80Monthly downloads — 22,094 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesskill-seekers
dependents—
ecosystemspypi
total_downloads—
monthly_downloads22,094
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

28At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.7/22.5Commit distribution — top contributor authored 88% of commits
13.5/13.5Contributor breadth — 43 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled43
top_contributor_share0.882

Issue & PR responsiveness

64Moderate
How it's scored
34.3/42Issue resolution — 82% of issues closed
21.7/30PR acceptance — 115/159 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs115
open_issues49
closed_issues218
prs_merged_7d3
prs_decided_7d3
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.816
closed_unmerged_prs44
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.

Ownership & stewardship

63Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.3/25Owner reach — 255 followers of yusufkaraaslan
23.1/25Track record — 32 public repos, account ~11 yr old
Inputs used
followers255
owner_typeUser
is_verified—
owner_loginyusufkaraaslan
public_repos32
account_age_days4,199
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 47 days ago
20/20Version history — 29 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesskill-seekers
ecosystemspypi
any_deprecatedno
min_days_since_publish47

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://skillseekersweb.com/
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicsai-tools, automation, claude-ai, claude-skills, documentation, documentation-generator, python, web-scraping, mcp, mcp-server, github, ocr, pdf, ast-parser, code-analysis, conflict-detection, github-scraper, multi-source
has_wikiyes
homepagehttps://skillseekersweb.com/
docs_sitehttps://skillseekersweb.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

49Weak · 16% of overall

Security posture

40Weak
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 — 3 out of 3 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
0/7.5Code-Review — Found 0/30 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
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 — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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
0/7.5Vulnerabilities — 277 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

86Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
11/25Indirect dependencies free of known advisories — 1 affected: nltk 3.10.3 (high 7.0)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages115
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the pypi:skill-seekers@3.9.1 runtime dependency closure — what installing the published package pulls in — 115 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.

72Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 97 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.97
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes21,840

Verify loop (build / test / typecheck)

64Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — examples/cursor-react-skill/example-project/tsconfig.json, mypy.ini, src/skill_seekers/py.typed, ui/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 85 of the last 100 commits agent-authored or agent-credited
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
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/cursor-react-skill/example-project/tsconfig.json, mypy.ini, src/skill_seekers/py.typed, ui/tsconfig.json
agent_commit_share0.85
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (examples/cursor-react-skill/example-project/tsconfig.json, mypy.ini, src/skill_seekers/py.typed, ui/tsconfig.json)
53/55Manageable file sizes — 22/597 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes145,145
source_files_sampled597
oversized_source_files22

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

15,005GitHub stars
43contributors
873commits, last 12 months
2days since last push
34releases
1bus factor
49open issues
npm, 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 ★ / 1,530 ⇿
0Stars
1,530Forks
26Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

4006008001,0001,2001,4001,6001,530452025-122026-052026-09
Major 1Minor 15Patch 10
OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-09-19 17:41 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
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
10Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Vulnerabilities277 existing vulnerabilities detected
Direct dependencies 68
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All dependencies 766

Full resolved dependency set from the GitHub dependency graph: 86 direct and 680 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpropcache0.4.1indirect
PyPIproto-plus1.27.0indirect
PyPIprotobuf5.29.5indirect
PyPIpsutil7.2.2indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybase641.4.3indirect
PyPIpycparser2.23indirect
PyPIpydantic-core2.41.4indirect
PyPIpydantic-core2.41.5indirect
PyPIpyee13.0.1indirect
PyPIpyjwt2.10.1indirect
PyPIpynacl1.6.2indirect
PyPIpyparsing3.3.1indirect
PyPIpypdf6.7.2indirect
PyPIpypika0.51.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytesseract0.3.13indirect
PyPIpytest—indirect
PyPIpytest8.4.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio0.24.0indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-django—indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-docx1.2.0indirect
PyPIpython-multipart—indirect
PyPIpython-multipart0.0.12indirect
PyPIpython-multipart0.0.21indirect
PyPIpython-pptx1.0.2indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIqdrant-client—indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.1.15indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich—indirect
PyPIrich14.3.2indirect
PyPIrpds-py0.27.1indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9.1indirect
PyPIruff0.14.13indirect
PyPIs3transfer0.16.0indirect
PyPIsafetensors0.7.0indirect
PyPIscenedetect0.6.7indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.0indirect
PyPIsentence-transformers5.2.2indirect
PyPIsetuptools81.0.0indirect
PyPIsgmllib3k1.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIskill-seekers—indirect
PyPIskill-seekers3.10.0.dev0indirect
PyPIslack-sdk3.41.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8indirect
PyPIsoupsieve2.8.1indirect
PyPIsqlalchemy—indirect
PyPIsqlalchemy2.0.46indirect
PyPIsse-starlette—indirect
PyPIsse-starlette3.1.2indirect
PyPIstarlette—indirect
PyPIstarlette0.50.0indirect
PyPIstriprtf0.0.26indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.4indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.12.0indirect
PyPItinytag2.2.0indirect
PyPItokenizers0.22.2indirect
PyPItorch2.10.0indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItransformers5.1.0indirect
PyPItriton3.6.0indirect
PyPItyper0.21.1indirect
PyPItyper-slim0.21.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.5.0indirect
PyPIurllib32.6.2indirect
PyPIuuid-utils0.14.0indirect
PyPIuvicorn—indirect
PyPIuvicorn0.32.0indirect
PyPIuvicorn0.40.0indirect
PyPIuvloop0.22.1indirect
PyPIvalidators0.35.0indirect
PyPIvoyageai0.3.7indirect
PyPIwatchfiles1.1.1indirect
PyPIweaviate-client—indirect
PyPIweaviate-client3.26.7indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwrapt1.17.3indirect
PyPIxlsxwriter3.2.9indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIyoutube-transcript-api1.2.4indirect
PyPIyt-dlp2026.2.21indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 1

Installing pypi:skill-seekers@3.9.1 pulls in 115 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.10.3indirecthigh1—

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.

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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.