Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-15 20:09 UTC

lexicalunit / spellbot

The Discord bot for Webcam Magic

PythonMIT★ 36 stars⑂ 14 forkssince Jun 2020View on GitHub ↗
KindLibraryChat botCommand-line toolhow this is determined
#magic-the-gathering#discord-bot#spelltable#magic#gaming#lfg

lexicalunit/spellbot holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (95/100) and lowest on AI Readiness (43/100). It was last updated today. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Amy TroschinetzPersonal account
76 followers61 public repossince Jun 2012

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
RubyGemsbeautiful-jekyll-themepoints to another repo — not scored6.0.1-111133 days ago—
PyPIspellbot21.5.0-5980 days agobotdiscordmagicmtgwebcam

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 1,769 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,769
human_commit_share—
days_since_last_push0
active_weeks_last_year51

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 100 version tags (no GitHub releases)
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~3.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv21.5.0
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases3.5
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?

61Moderate · 17% of overall

Popularity & adoption

34At Risk
How it's scored
25/60Stars — 36 stars
9.3/25Forks — 14 forks
0/15Watchers — 2 watchers
Inputs used
forks14
stars36
watchers2
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 (MIT)
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

63Moderate · 23% of overall

Maintainer resilience (bus factor)

30At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.3/22.5Commit distribution — top contributor authored 68% of commits
10.8/13.5Contributor breadth — 8 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.676

Issue & PR responsiveness

75Good
How it's scored
42/42Issue resolution — 100% of issues closed
23.1/30PR acceptance — 1,816/2,362 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs1,816
open_issues0
closed_issues124
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio1
closed_unmerged_prs546
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.

Ownership & stewardship

61Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
13.6/25Owner reach — 76 followers of lexicalunit
25/25Track record — 61 public repos, account ~14 yr old
Inputs used
followers76
owner_typeUser
is_verified—
owner_loginlexicalunit
public_repos61
account_age_days5,129
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 — 598 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesspellbot
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://spellbot.io
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsmagic-the-gathering, discord-bot, spelltable, magic, gaming, lfg
has_wikino
homepagehttps://spellbot.io
docs_sitehttps://spellbot.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

73Good · 16% of overall

Security posture

73Good
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 — 15 out of 15 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 0/6 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
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.2
Excluded from scoring (no data or not applicable): Branch-Protection, 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.

43Weak · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no 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.

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.6/55Manageable file sizes — 2/309 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes97,190
source_files_sampled309
oversized_source_files2

Key facts

36GitHub stars
8contributors
1,769commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
npm, PyPI, RubyGemspackage ecosystems

Data collection warnings

  • rubygems package 'beautiful-jekyll-theme' points at a different repository (https://beautifuljekyll.com); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 7.2 / 10
7.2aggregate

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 20:08 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-Tests15 out of 15 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 0/6 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
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 31
RegistryPackageVersion constraintManifest
npm@fortawesome/fontawesome-free^7.3.0package.json
npmbootstrap^5.3.8package.json
npmjquery^4.0.0package.json
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PyPIpydantic-settings>=2.14.1pyproject.toml
PyPIpython-dateutil>=2.8.2pyproject.toml
PyPIpython-i18n>=0.3.9pyproject.toml
PyPIpython-json-logger>=3.3.0pyproject.toml
PyPIredis>=6.1.0pyproject.toml
PyPIsqlalchemy>=2.0.41pyproject.toml
PyPItenacity>=9.0.0pyproject.toml
PyPIuvloop>=0.19pyproject.toml
PyPIwrapt>=1,<3pyproject.toml
All dependencies 330

Full resolved dependency set from the GitHub dependency graph: 31 direct and 299 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIanyio4.13.0indirect
PyPIasttokens3.0.1indirect
PyPIattrs26.1.0indirect
PyPIaudioop-lts0.2.2indirect
PyPIboolean-py5.0indirect
PyPIbytecode0.17.0indirect
PyPIcallee0.3.1indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIdecorator5.3.1indirect
PyPIdistlib0.4.0indirect
PyPIenvier0.6.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfactory-boy3.3.3indirect
PyPIfaker40.23.0indirect
PyPIfilelock3.29.0indirect
PyPIfreezegun1.5.5indirect
PyPIfrozenlist1.8.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.50indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.15indirect
PyPIiniconfig2.3.0indirect
PyPIipython9.14.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIlicense-expression30.4.4indirect
PyPImako1.3.12indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.1indirect
PyPInest-asyncio1.6.0indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.42.1indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.5.2indirect
PyPIpsutil7.2.2indirect
PyPIpsycopg-binary3.3.4indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpylic5.0.1indirect
PyPIpyright1.1.410indirect
PyPIpytest9.1.1indirect
PyPIpytest-aiohttp1.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-freezer0.4.9indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-socket0.8.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.4.2indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruff0.15.20indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIspellbot21.4.0indirect
PyPIsqlalchemy-utils0.42.1indirect
PyPIstack-data0.6.3indirect
PyPIsyrupy5.3.2indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItomlkit0.15.0indirect
PyPItraitlets5.15.0indirect
PyPItyper0.25.1indirect
PyPItypes-python-dateutil2.9.0.20260518indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.5.0indirect
PyPIvulture2.16indirect
PyPIwcwidth0.7.0indirect
PyPIyarl1.24.2indirect
RubyGemsappraisal—indirect
RubyGemsbigdecimal—indirect
RubyGemsbundler—indirect
RubyGemsjekyll—indirect
RubyGemsjekyll-paginate—indirect
RubyGemsjekyll-redirect-from—indirect
RubyGemsjekyll-sitemap—indirect
RubyGemskramdown—indirect
RubyGemskramdown-parser-gfm—indirect
RubyGemsrake—indirect
RubyGemswebrick—indirect
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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 v0.11.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — RubyGems, PyPI.