Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-15 17:05 UTC

6abd / horus

An OSINT / digital forensics tool built in Python

PythonGPL-3.0★ 514 stars⑂ 55 forkssince Jan 2024View on GitHub ↗

6abd/horus holds a health index of 47 out of 100, placing it in the Weak band. It scores highest on Community & Adoption (73/100) and lowest on AI Readiness (23/100). It was last updated 94 days ago. A single contributor accounts for most of its recent work.

47
overall / 100
Weak

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.

47
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 48 is calibrated to 47 on the published index scale (record calibration 2026-08-02).

Ownership

6abdPersonal account
49 followers22 public repossince Apr 2021

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
PyPIhoruspoints to another repo — not scored0.9.15-264503 days agopyramidauthenticationuser-registration

Metrics by category

Vitality

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

34At Risk · 21% of overall
How it's scored
9.9/36Push recencylast push 94 days ago
1.4/36Commit cadence2/52 weeks with commits
5.4/18Commit volume3 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year3
human_commit_share
days_since_last_push94
active_weeks_last_year2
How it's scored
27/27Ships releases8 releases published
0/36Release recencylatest release 734 days ago
27/27Release cadencea release every ~12.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count8
latest_release_tagv1.2.7
releases_from_tagsno
days_since_latest_release734
mean_days_between_releases12.5
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?

73Good · 17% of overall
How it's scored
44/60Stars514 stars
14.4/25Forks55 forks
3.9/15Watchers6 watchers
Inputs used
forks55
stars514
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (GPL-3.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

43Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.3/22.5Commit distributiontop contributor authored 94% of commits
5.4/13.5Contributor breadth4 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.943
How it's scored
28/42Issue resolution67% of issues closed
26/30PR acceptance13/15 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 3/11 approved changesets -- score normalized to 2
Inputs used
merged_prs13
open_issues3
closed_issues6
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.667
closed_unmerged_prs2
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
12.2/25Owner reach49 followers of 6abd
20.5/25Track record22 public repos, account ~5 yr old
Inputs used
followers49
owner_typeUser
is_verified
owner_login6abd
public_repos22
account_age_days1,930
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

55Moderate · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 5 merged PRs checked by a CI test -- score normalized to 0
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://horusdocs.gitbook.io
10/10Repository description
10/10Topics20 topics
0/10Wiki
Inputs used
topicsinvestigations, osint, python, security, security-tools, api, crypto, cryptocurrency, cybersecurity, decryption, digital-forensics, encryption, forensics, investigation, location, requests, steganography, tool, tools, hacktoberfest
has_wikino
homepagehttps://horusdocs.gitbook.io
docs_sitehttps://horusdocs.gitbook.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

46Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0/2.5CI-Tests0 out of 5 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 3/11 approved changesets -- score normalized to 2
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
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
1.5/7.5Vulnerabilities8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

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.

23At Risk · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/32 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes10,531
source_files_sampled32
oversized_source_files0

Key facts

514GitHub stars
4contributors
3commits, last 12 months
94days since last push
8releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'horus' points at a different repository (https://github.com/eventray/horus); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-07-15 17:05 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 5 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 3/11 approved changesets -- score normalized to 2
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
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIshodanpyproject.toml
PyPIdhookspyproject.toml
PyPInmappyproject.toml
PyPIcoloramapyproject.toml
PyPIcryptographypyproject.toml
PyPIhashcatpyproject.toml
PyPIprotonvpn-clipyproject.toml
PyPIonionshare_clipyproject.toml
All dependencies 20

Full resolved dependency set from the GitHub dependency graph: 12 direct and 8 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcoloramadirect
PyPIcolorama0.4.6direct
PyPIcryptographydirect
PyPIcryptography42.0.5direct
PyPIdhooksdirect
PyPIhashcatdirect
PyPInmapdirect
PyPIonionshare-clidirect
PyPIonionshare-cli2.6direct
PyPIprotonvpn-clidirect
PyPIshodandirect
PyPIshodan1.31.0direct
PyPIdnspython2.6.1indirect
PyPIexif1.6.0indirect
PyPIpyshark0.6indirect
PyPIpytest8.1.1indirect
PyPIpython-nmap0.7.1indirect
PyPIpytube15.0.0indirect
PyPIrequests2.32.2indirect
PyPIwhois1.20240129.2indirect
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 v0.11.0 — full methodology · metrics wiki.

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