Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 11:48 UTC

GamehunterKaan / AutoPWN-Suite

AutoPWN Suite is a project for scanning vulnerabilities and exploiting systems automatically.

Python · JavaScriptCustom license★ 1,097 stars⑂ 138 forkssince May 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

GamehunterKaan/AutoPWN-Suite holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Vitality (72/100) and lowest on AI Readiness (37/100). It was last updated 58 days ago. A single contributor accounts for most of its recent work.

73
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.

73
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 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

Kaan GültekinPersonal account
140 followers19 public repossince Jul 2020

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 publish
PyPIautopwn-suite2.1.5137211461 days ago

Metrics by category

Vitality

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

72Good · 21% of overall
How it's scored
18/36Push recencylast push 58 days ago
11.8/36Commit cadence17/52 weeks with commits
18/18Commit volume160 commits in the last year
5/10OpenSSF Scorecard: Maintained6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Inputs used
commits_last_year160
human_commit_share0.94
days_since_last_push58
active_weeks_last_year17

Release discipline

100Exceptional
How it's scored
27/27Ships releases32 releases published
36/36Release recencylatest release 58 days ago
27/27Release cadencea release every ~27.7 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count32
latest_release_tagv2.4.5
releases_from_tagsno
days_since_latest_release58
mean_days_between_releases27.7
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?

67Good · 17% of overall
How it's scored
49.3/60Stars1,097 stars
17.8/25Forks138 forks
8/15Watchers29 watchers
Inputs used
forks138
stars1,097
watchers29
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno
How it's scored
28.5/80Monthly downloads137 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesautopwn-suite
dependents
ecosystemspypi
total_downloads
monthly_downloads137
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?

54Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
4.5/22.5Commit distributiontop contributor authored 80% of commits
6.8/13.5Contributor breadth5 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.801
How it's scored
42/42Issue resolution100% of issues closed
23.7/30PR acceptance15/19 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/20 approved changesets -- score normalized to 0
Inputs used
merged_prs15
open_issues0
closed_issues33
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs4
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 backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
15.5/25Owner reach140 followers of GamehunterKaan
21.5/25Track record19 public repos, account ~6 yr old
Inputs used
followers140
owner_typeUser
is_verified
owner_loginGamehunterKaan
public_repos19
account_age_days2,245
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 1,461 days ago
20/20Version history21 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesautopwn-suite
ecosystemspypi
any_deprecatedno
min_days_since_publish1,461

Engineering Quality

Are baseline engineering and documentation practices in place?

67Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests6 out of 6 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://autopwn.kaangultekin.net
10/10Repository description
10/10Topics18 topics
0/10Wiki
Inputs used
topicscybersecurity, exploitation, nmap, pentesting, python, python3, scanners, vulnerability-scanners, scanner, scanning, penetration-testing, hacking, hacking-tools, infosec, security, security-tools, cyber-security, cybersecurity-tools
has_wikino
homepagehttps://autopwn.kaangultekin.net
docs_sitehttps://autopwn.kaangultekin.net
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

69Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/20 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
3.8/7.5Maintained6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages15
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:autopwn-suite@2.1.5 runtime dependency closure — what installing the published package pulls in — 15 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.

37Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
11.3/40Legible commit history20 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.213
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice13 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance6 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0.13
toolchain_manifests
dependency_bot_commit_share0.06
How it's scored
0/45Type-checkable codePython without a type-check config
53.8/55Manageable file sizes1/45 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes68,413
source_files_sampled45
oversized_source_files1

Key facts

1,097GitHub stars
5contributors
160commits, last 12 months
58days since last push
32releases
1bus factor
0open 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 ★ / 138 ⇿
0Stars
138Forks
32Releases

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.

0255075100125150135122022-062024-072026-08
Major 1Minor 7Patch 23

Each point covers 4 days.

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-09-09 11:47 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-Tests6 out of 6 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 0/20 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
5Maintained6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIrequests>=2.33.0pyproject.toml
PyPIrich*pyproject.toml
PyPIpython-nmap*pyproject.toml
PyPIbeautifulsoup4*pyproject.toml
PyPIdistro*pyproject.toml
PyPIurllib3^2.7.0pyproject.toml
All dependencies 39

Full resolved dependency set from the GitHub dependency graph: 10 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup44.13.4direct
PyPIdistrodirect
PyPIdistro1.9.0direct
PyPIpython-nmapdirect
PyPIpython-nmap0.7.1direct
PyPIrequestsdirect
PyPIrequests2.33.0direct
PyPIrichdirect
PyPIrich14.0.0direct
PyPIurllib32.7.0direct
PyPIblinker1.9.0indirect
PyPIbs4indirect
PyPIcertifi2025.6.15indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.3.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.6.1indirect
PyPIexceptiongroup1.3.0indirect
PyPIflaskindirect
PyPIflask3.1.3indirect
PyPIflask-corsindirect
PyPIflask-cors6.0.2indirect
PyPIidna3.15indirect
PyPIiniconfig2.1.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPIpackaging25.0indirect
PyPIpluggy1.5.0indirect
PyPIpygments2.20.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov4.1.0indirect
PyPIpytest-mock3.14.1indirect
PyPIsoupsieve2.8.4indirect
PyPItomli2.2.1indirect
PyPItyping-extensions4.13.2indirect
PyPIwerkzeug3.1.8indirect
Dependency advisories 0

Installing pypi:autopwn-suite@2.1.5 pulls in 15 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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 statisticsPyPI.