Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 23:55 UTC

zcbacxc / movie-narrator

🎬 Generate narrated movie recap videos from a single prompt.

PythonAGPL-3.0★ 330 stars⑂ 97 forkssince Jul 2026View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined

zcbacxc/movie-narrator holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (80/100) and lowest on AI Readiness (47/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

75
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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

早川Personal account
2 followers14 public repossince Jun 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
PyPImovie-narrator1.6.02,654842 days ago

Metrics by category

Vitality

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

76Good · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
6.2/36Commit cadence9/52 weeks with commits
18/18Commit volume401 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year401
human_commit_share0.98
days_since_last_push2
active_weeks_last_year9

Release discipline

100Exceptional
How it's scored
27/27Ships releases64 releases published
36/36Release recencylatest release 2 days ago
27/27Release cadencea release every ~1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count64
latest_release_tagv1.6.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases1
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?

64Moderate · 17% of overall
How it's scored
40.8/60Stars330 stars
16.5/25Forks97 forks
0/15Watchers0 watchers
Inputs used
forks97
stars330
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (AGPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
45.7/80Monthly downloads2,654 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmovie-narrator
dependents
ecosystemspypi
total_downloads
monthly_downloads2,654
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
0/22.5Commit distributiontop contributor authored 100% of commits
1.4/13.5Contributor breadth1 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
42/42Issue resolution100% of issues closed
28.2/30PR acceptance158/168 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs158
open_issues0
closed_issues1
prs_merged_7d1
prs_decided_7d1
prs_merged_30d13
prs_decided_30d13
issue_closed_ratio1
closed_unmerged_prs10
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
3.4/25Owner reach2 followers of zcbacxc
20.6/25Track record14 public repos, account ~6 yr old
Inputs used
followers2
owner_typeUser
is_verified
owner_loginzcbacxc
public_repos14
account_age_days2,269
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 2 days ago
20/20Version history84 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmovie-narrator
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests18 out of 18 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
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics8 topics
0/10Wiki
Inputs used
topicsautomation, ffmpeg, llm, movie-recap, narration, python, tts, video-generation
has_wikino
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

56Moderate · 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-Tests18 out of 18 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 0/30 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
2.5/2.5Licenselicense file detected
0/7.5Maintainedproject was created within the last 90 days. Please review its contents carefully
5/5Packagingpackaging workflow detected
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
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.
How it's scored
9.5/35Direct dependencies free of known advisories1 affected: pillow 11.3.0 (critical 9.1)
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
32.6/40No advisories left outstanding1 advisory-carrying package(s) unaddressed past 90 days; oldest published 211 days ago
Inputs used
sourceosv
advisories36
affected_packages1
assessed_packages47
unassessed_packages0
affected_by_severitycritical 1
direct_affected_packages1
Matched the pypi:movie-narrator@1.6.0 runtime dependency closure — what installing the published package pulls in — 47 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.

47Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history95 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.969
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance2 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
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.02
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/326 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes59,616
source_files_sampled326
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

330GitHub stars
1contributors
401commits, last 12 months
2days since last push
64releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'movie-narrator' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for movie-narrator carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 97 ⇿
0Stars
97Forks
58Releases

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.

02040608010097222026-072026-082026-09
Major 1Minor 10Patch 47
OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-09-10 23:55 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-Tests18 out of 18 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
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
0Maintainedproject was created within the last 90 days. Please review its contents carefully
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
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPItyper>=0.12.0pyproject.toml
PyPIhttpx>=0.23,<1pyproject.toml
PyPIopenai>=1.0.0pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIpydantic-settings>=2.0.0pyproject.toml
PyPIpython-dotenv>=1.0.0pyproject.toml
PyPIedge-tts>=7.0.0pyproject.toml
PyPImoviepy>=2.0,<3.0pyproject.toml
PyPIpillow>=11.3.0,<12.0pyproject.toml
PyPIpydub>=0.25.0pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPItqdm>=4.0.0pyproject.toml
PyPIaudioop-lts>=0.2.0pyproject.toml
All dependencies 31

Full resolved dependency set from the GitHub dependency graph: 13 direct and 18 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaudioop-ltsdirect
PyPIedge-ttsdirect
PyPIhttpxdirect
PyPImoviepydirect
PyPIopenaidirect
PyPIpillowdirect
PyPIpydanticdirect
PyPIpydantic-settingsdirect
PyPIpydubdirect
PyPIpython-dotenvdirect
PyPIpyyamldirect
PyPItqdmdirect
PyPItyperdirect
PyPIbanditindirect
PyPIboto3indirect
PyPImkdocsindirect
PyPImkdocstringsindirect
PyPImovie-narratorindirect
PyPImypyindirect
PyPIopentelemetry-apiindirect
PyPIopentelemetry-sdkindirect
PyPIopentimelineioindirect
PyPIpip-auditindirect
PyPIpymdown-extensionsindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-timeoutindirect
PyPIrequestsindirect
PyPIruffindirect
PyPIscenedetectindirect
PyPIsetuptoolsindirect
Dependency advisories 1

Installing pypi:movie-narrator@1.6.0 pulls in 47 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.3.0directcritical3612.3.0

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.