Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-21 01:45 UTC

samuelcolvin / smokeshow

create temporary websites

TypeScript · Python · SCSSMIT★ 198 stars⑂ 5 forkssince Mar 2021View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

samuelcolvin/smokeshow holds a health index of 47 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (74/100) and lowest on Vitality (18/100). It was last updated 559 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

Samuel ColvinPersonal account
6,425 followers308 public repossince Apr 2013@pydantic

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
PyPIsmokeshow0.5.0-5559 days ago

Metrics by category

Vitality

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

18Critical · 21% of overall
How it's scored
0/36Push recencylast push 559 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 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_year0
human_commit_share
days_since_last_push559
active_weeks_last_year0
How it's scored
27/27Ships releases2 releases published
7.2/36Release recencylatest release 559 days ago
5.4/27Release cadencea release every ~496.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count2
latest_release_tagv0.5
releases_from_tagsno
days_since_latest_release559
mean_days_between_releases496.2
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?

48Weak · 17% of overall
How it's scored
37.2/60Stars198 stars
5/25Forks5 forks
4.7/15Watchers8 watchers
Inputs used
forks5
stars198
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

55Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.3/22.5Commit distributiontop contributor authored 98% of commits
2.7/13.5Contributor breadth2 contributors
10/10OpenSSF Scorecard: Contributorsproject has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.985
How it's scored
21/42Issue resolution50% of issues closed
28.8/30PR acceptance23/24 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/30 approved changesets -- score normalized to 0
Inputs used
merged_prs23
open_issues7
closed_issues7
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.5
closed_unmerged_prs1
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
25/25Owner reach6,425 followers of samuelcolvin
25/25Track record308 public repos, account ~13 yr old
Inputs used
followers6,425
owner_typeUser
is_verified
owner_loginsamuelcolvin
public_repos308
account_age_days4,857
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
14/35Publish recencylatest publish 559 days ago
20/20Version history5 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessmokeshow
ecosystemspypi
any_deprecatedno
min_days_since_publish559

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 15 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttp://smokeshow.helpmanual.io
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicstemporary-websites, http, https, coverage-reports, pydantic, ephemeral
has_wikiyes
homepagehttp://smokeshow.helpmanual.io
docs_sitehttp://smokeshow.helpmanual.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

41Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Tests0 out of 15 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
0/7.5Code-ReviewFound 1/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 10 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update 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
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities88 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate2.6
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, 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_packages13
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:smokeshow@0.5.0 runtime dependency closure — what installing the published package pulls in — 13 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.

59Moderate · 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
18/18One-command bootstrapMakefile, cli/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingcli/smokeshow/py.typed, tsconfig.json
10/10Reproducible environmentlockfile
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
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageyes
bootstrap_filesMakefile, cli/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configscli/smokeshow/py.typed, tsconfig.json
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
45/45Type-checkable codeTypeScript (statically typed)
55/55Manageable file sizes0/19 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes9,784
source_files_sampled19
oversized_source_files0

Key facts

198GitHub stars
2contributors
0commits, last 12 months
559days since last push
2releases
1bus factor
7open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch npm package 'smokeshow' from its registry

More detail

OpenSSF Scorecard 2.6 / 10
2.6aggregate

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 · 2026-07-21 01:45 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
0CI-Tests0 out of 15 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities88 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.24cli/pyproject.toml
PyPItyper>=0.8.0cli/pyproject.toml
npm@cloudflare/workers-types^4.20230821.0package.json
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npmesbuild^0.19.2package.json
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npmsass^1.32.8package.json
npmtypescript^5.2.2package.json
npmwrangler^3.6.0package.json
All dependencies 322

Full resolved dependency set from the GitHub dependency graph: 21 direct and 301 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmtype-fest0.20.2indirect
npmundici5.23.0indirect
npmuri-js4.4.1indirect
npmutil-deprecate1.0.2indirect
npmwhich2.0.2indirect
npmworkerd1.20230814.1indirect
npmwrappy1.0.2indirect
npmws8.13.0indirect
npmxxhash-wasm1.0.2indirect
npmyallist4.0.0indirect
npmyocto-queue0.1.0indirect
npmyouch3.2.3indirect
npmzod3.22.2indirect
PyPIaiohttp3.8.5indirect
PyPIaiosignal1.3.1indirect
PyPIanyio3.7.1indirect
PyPIasync-timeout4.0.3indirect
PyPIattrs23.1.0indirect
PyPIblack23.7.0indirect
PyPIcertifi2023.7.22indirect
PyPIcharset-normalizer3.2.0indirect
PyPIclick8.1.7indirect
PyPIcoverage7.3.0indirect
PyPIdirty-equals0.6.0indirect
PyPIfrozenlist1.4.0indirect
PyPIh110.14.0indirect
PyPIhttpcore0.17.3indirect
PyPIidna3.4indirect
PyPIiniconfig2.0.0indirect
PyPImarkdown-it-py3.0.0indirect
PyPImdurl0.1.2indirect
PyPImultidict6.0.4indirect
PyPImypy1.5.1indirect
PyPImypy-extensions1.0.0indirect
PyPIpackaging23.1indirect
PyPIpathspec0.11.2indirect
PyPIplatformdirs3.10.0indirect
PyPIpluggy1.3.0indirect
PyPIpygments2.16.1indirect
PyPIpytest7.4.0indirect
PyPIpytest-mock3.11.1indirect
PyPIpytest-pretty1.2.0indirect
PyPIpytz2023.3indirect
PyPIrich13.5.2indirect
PyPIruff0.0.286indirect
PyPIsniffio1.3.0indirect
PyPItyping-extensions4.7.1indirect
PyPIyarl1.9.2indirect
Dependency advisories 0

Installing pypi:smokeshow@0.5.0 pulls in 13 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

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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.

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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 v0.16.0 — full methodology · metrics wiki.

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