Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 23:03 UTC

vladkesler / initrunner

Define AI agent roles in YAML and run them anywhere: CLI, API server, or autonomous daemon

PythonApache-2.0★ 41 stars⑂ 6 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined
#agent-framework#ai-agents#ai-automation#ai-tools#autonomous-agents#cli#llm#llm-agents#mcp#multi-agent#no-code#openai-compatible#pydantic-ai#python#rag#yaml#yaml-configuration

vladkesler/initrunner holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on Sustainability & Governance (48/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

vladkeslerPersonal account
6 followers7 public repossince Jun 2025

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
PyPIinitrunner2026.9.11,6031252 days agoagentaiai-agentsautonomous-agentsllmmcpno-codeopenai-compatiblepydantic-airagrolerunneryaml

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

84Excellent
How it's scored
36/36Push recency — last push 2 days ago
20.1/36Commit cadence — 29/52 weeks with commits
18/18Commit volume — 442 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_year442
human_commit_share0.69
days_since_last_push2
active_weeks_last_year29

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~2.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv2026.9.1
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases2.3

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

58Moderate · 17% of overall

Popularity & adoption

32At Risk
How it's scored
26/60Stars — 41 stars
5.8/25Forks — 6 forks
0/15Watchers — 1 watchers
Inputs used
forks6
stars41
watchers1
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 (Apache-2.0)
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

53Moderate
How it's scored
42.7/80Monthly downloads — 1,603 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesinitrunner
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,603
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?

48Weak · 23% of overall

Maintainer resilience (bus factor)

10Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

71Good
How it's scored
42/42Issue resolution — 100% of issues closed
19.9/30PR acceptance — 165/249 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs165
open_issues0
closed_issues5
prs_merged_7d3
prs_decided_7d3
prs_merged_30d24
prs_decided_30d25
issue_closed_ratio1
closed_unmerged_prs84
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.

Ownership & stewardship

31At Risk
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.1/25Owner reach — 6 followers of vladkesler
9/25Track record — 7 public repos, account ~1 yr old
Inputs used
followers6
owner_typeUser
is_verified—
owner_loginvladkesler
public_repos7
account_age_days447
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 2 days ago
20/20Version history — 125 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesinitrunner
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 17 topics
0/10Wiki
Inputs used
topicsagent-framework, ai-agents, ai-automation, ai-tools, autonomous-agents, cli, llm, llm-agents, mcp, multi-agent, no-code, openai-compatible, pydantic-ai, python, rag, yaml, yaml-configuration
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?

65Good · 16% of overall

Security posture

56Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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 0/29 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
2/5SAST — SAST tool is not run on all commits -- score normalized to 4
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages57
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:initrunner@2026.9.1 runtime dependency closure — what installing the published package pulls in — 57 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.

76Good · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://initrunner.ai/llms.txt)
40/40Legible commit history — 69 of 69 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://initrunner.ai/llms.txt
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes13,286

Verify loop (build / test / typecheck)

62Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — dashboard/tsconfig.json, initrunner/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 31 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, pnpm-lock.yaml, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsdashboard/tsconfig.json, initrunner/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.31

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (dashboard/tsconfig.json, initrunner/py.typed)
54.7/55Manageable file sizes — 4/735 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes72,819
source_files_sampled735
oversized_source_files4

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

41GitHub stars
1contributors
442commits, last 12 months
2days since last push
100releases
1bus factor
0open issues
npm, 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 ★ / 6 ⇿
0Stars
6Forks
71Releases

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.

23456622026-022026-042026-05
Major 0Minor 30Patch 41
OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-09-10 23:03 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 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 0/29 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
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4SASTSAST tool is not run on all commits -- score normalized to 4
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
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npm@dicebear/rings^9.4.3dashboard/package.json
npm@xyflow/svelte^1.6.6dashboard/package.json
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PyPIpyyaml>=6.0.3pyproject.toml
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PyPImarkdownify>=1.2.2pyproject.toml
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PyPIanyio>=4.13.0pyproject.toml
PyPIstarlette>=0.46.2pyproject.toml
PyPIuvicorn>=0.42.0pyproject.toml
All dependencies 386

Full resolved dependency set from the GitHub dependency graph: 20 direct and 366 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIculsans0.11.0indirect
PyPIcyclopts4.5.1indirect
PyPIddgs9.10.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecation2.1.0indirect
PyPIdiscord-py2.6.4indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.4indirect
PyPIemail-validator2.3.0indirect
PyPIet-xmlfile2.0.0indirect
PyPIeval-type-backport0.3.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfake-useragent2.2.0indirect
PyPIfastapi0.135.2indirect
PyPIfastavro1.12.1indirect
PyPIfastembed0.8.0indirect
PyPIfastmcp4.0.3indirect
PyPIfastmcp-slim4.0.3indirect
PyPIfilelock3.20.3indirect
PyPIflatbuffers25.12.19indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.2.0indirect
PyPIgenai-prices0.1.4indirect
PyPIgoogle-api-core2.34.0indirect
PyPIgoogle-auth2.56.3indirect
PyPIgoogle-genai2.19.0indirect
PyPIgoogle-re21.1.20251105indirect
PyPIgoogleapis-common-protos1.72.0indirect
PyPIgriffelib2.0.0indirect
PyPIgroq1.0.0indirect
PyPIgrpcio1.78.0indirect
PyPIh110.16.0indirect
PyPIh24.4.1indirect
PyPIhf-xet1.2.0indirect
PyPIhpack4.2.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhuggingface-hub0.36.2indirect
PyPIhyperframe6.1.0indirect
PyPIidentify2.6.16indirect
PyPIidna3.19indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjiter0.16.0indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.2indirect
PyPIjson-rpc1.15.0indirect
PyPIjsonpath-python1.1.6indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.3.4indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlance-namespace0.5.2indirect
PyPIlance-namespace-urllib3-client0.5.2indirect
PyPIlancedb0.29.2indirect
PyPIlark1.3.1indirect
PyPIlogfire-api4.22.0indirect
PyPIloguru0.7.3indirect
PyPIlxml6.1.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImcp2.2.0indirect
PyPImcp-types2.2.0indirect
PyPImdurl0.1.2indirect
PyPImistralai2.9.3indirect
PyPImmh35.2.0indirect
PyPImore-itertools10.8.0indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.4.2indirect
PyPIonnxruntime1.24.4indirect
PyPIopenai3.3.1indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopenpyxl3.1.5indirect
PyPIopentelemetry-api1.39.1indirect
PyPIopentelemetry-exporter-otlp1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-common1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-http1.39.1indirect
PyPIopentelemetry-instrumentation0.60b1indirect
PyPIopentelemetry-instrumentation-logging0.60b1indirect
PyPIopentelemetry-proto1.39.1indirect
PyPIopentelemetry-sdk1.39.1indirect
PyPIopentelemetry-semantic-conventions0.60b1indirect
PyPIoverrides7.7.0indirect
PyPIpackaging25.0indirect
PyPIpathable0.4.4indirect
PyPIpendulum3.2.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIprimp1.0.0indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.28.3indirect
PyPIprotobuf6.33.5indirect
PyPIproxy-tools0.1.0indirect
PyPIpy-key-value-aio0.4.4indirect
PyPIpy-rust-stemmers0.1.5indirect
PyPIpyarrow23.0.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-evals2.32.1indirect
PyPIpydantic-graph2.32.1indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymupdf1.26.7indirect
PyPIpymupdf4llm0.2.9indirect
PyPIpyobjc-core12.1indirect
PyPIpyobjc-framework-cocoa12.1indirect
PyPIpyobjc-framework-quartz12.1indirect
PyPIpyobjc-framework-security12.1indirect
PyPIpyobjc-framework-uniformtypeidentifiers12.1indirect
PyPIpyobjc-framework-webkit12.1indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-docx1.2.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpython-telegram-bot22.6indirect
PyPIpythonnet3.0.5indirect
PyPIpytz2025.2indirect
PyPIpywebview6.1indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIqtpy2.4.3indirect
PyPIreferencing0.36.2indirect
PyPIregex2026.1.15indirect
PyPIrequests2.33.0indirect
PyPIrich-rst1.3.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.7indirect
PyPIs3transfer0.17.0indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIslack-sdk3.41.0indirect
PyPIsniffio1.3.1indirect
PyPIsocksio1.0.0indirect
PyPIsoupsieve2.8.4indirect
PyPIsse-starlette3.2.0indirect
PyPIsympy1.14.0indirect
PyPItabulate0.9.0indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.12.0indirect
PyPItokenizers0.22.2indirect
PyPItqdm4.67.3indirect
PyPItruststore0.10.4indirect
PyPIty0.0.24indirect
PyPItypes-requests2.32.4.20260107indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.36.1indirect
PyPIwebsockets15.0.1indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt1.17.3indirect
PyPIxai-sdk1.17.0indirect
PyPIyarl1.22.0indirect
PyPIyoutube-transcript-api1.2.4indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:initrunner@2026.9.1 pulls in 57 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.

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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 v0.34.0 — full methodology · metrics wiki.

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