Public recordExcellent
Software health reportschema 0.27.0 · metrics 2.3.1 · 2026-08-01 12:48 UTC
vstorm-co / subagents-pydantic-ai
Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.
vstorm-co/subagents-pydantic-ai holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (53/100). It was last updated today. A single contributor accounts for most of its recent work.
88
overall / 100Software 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.
88
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)
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).
Ownership
VstormOrganization
146 followers34 public repossince Mar 2021
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | subagents-pydantic-ai | 0.2.13 | 229,008 | 24 | 0 days ago | agentsaimulti-agentpydanticpydantic-aisubagentstask-delegationtoolset |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
86
Development activity
77Good
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 13.2/36 | Commit cadence — 19/52 weeks with commits |
| 18/18 | Commit volume — 135 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 135 |
| human_commit_share | 0.94 |
| days_since_last_push | 0 |
| active_weeks_last_year | 19 |
Release discipline
100Exceptional
How it's scored
| 27/27 | Ships releases — 24 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~7.7 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 24 |
| latest_release_tag | 0.2.13 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 7.7 |
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?
65
Popularity & adoption
39Weak
How it's scored
| 28.4/60 | Stars — 57 stars |
| 10.3/25 | Forks — 18 forks |
| 0/15 | Watchers — 2 watchers |
Inputs used
| forks | 18 |
| stars | 57 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
77Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| readme_badges | — |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
89Excellent
How it's scored
| 71.5/80 | Monthly downloads — 229,008 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | subagents-pydantic-ai |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 229,008 |
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?
64
Maintainer resilience (bus factor)
29At Risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 3.2/22.5 | Commit distribution — top contributor authored 86% of commits |
| 6.8/13.5 | Contributor breadth — 5 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 5 |
| top_contributor_share | 0.86 |
How it's scored
| 38.5/42 | Issue resolution — 92% of issues closed |
| 23.9/30 | PR acceptance — 39/49 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 2/7 approved changesets -- score normalized to 2 |
Inputs used
| merged_prs | 39 |
| open_issues | 1 |
| closed_issues | 11 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.917 |
| closed_unmerged_prs | 10 |
| 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
68Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 15.6/25 | Owner reach — 146 followers of vstorm-co |
| 22/25 | Track record — 34 public repos, account ~5 yr old |
Inputs used
| followers | 146 |
| owner_type | Organization |
| is_verified | — |
| owner_login | vstorm-co |
| public_repos | 34 |
| account_age_days | 1,968 |
Package maintenance
100Exceptional
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 24 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | subagents-pydantic-ai |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
96
Engineering practices
94Exceptional
How it's scored
| 24/24 | CI workflows — 3 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Exceptional
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://vstorm-co.github.io/subagents-pydantic-ai/ |
| 10/10 | Repository description |
| 10/10 | Topics — 17 topics |
| 10/10 | Wiki |
Inputs used
| topics | ai-agent-framework, aiagentsframework, anthropic, artificial-intelligence, chatgpt, claude-code, framework, genai, llm, mcp, open-source, openai, pydantic, pydantic-ai, python, subagents, vstorm |
| has_wiki | yes |
| homepage | https://vstorm-co.github.io/subagents-pydantic-ai/ |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
53
Security posture
53Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 2/7 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 5 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.3 |
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.
80
Agent context & guidance
85Excellent
How it's scored
| 45/45 | Agent instructions — AGENTS.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 73 of 94 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.777 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 7,166 |
Verify loop (build / test / typecheck)
90Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — src/subagents_pydantic_ai/py.typed |
| 10/10 | Reproducible environment — lockfile |
| 10/10 | Demonstrated agent practice — 15 of the last 100 commits agent-authored or agent-credited |
| 8/8 | Automated maintenance — 6 of the last 100 commits are automated dependency updates |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | src/subagents_pydantic_ai/py.typed |
| agent_commit_share | 0.15 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.06 |
Code legibility for models
80Excellent
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (src/subagents_pydantic_ai/py.typed) |
| 53.3/55 | Manageable file sizes — 1/32 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 167,980 |
| source_files_sampled | 32 |
| oversized_source_files | 1 |
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
57GitHub stars
5contributors
135commits, last 12 months
0days since last push
24releases
1bus factor
1open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:subagents-pydantic-ai@0.2.13; advisories assessed against the repository dependency graph instead
More detail
Star and fork history 0 ★ / 18 ⇿
0Stars
18Forks
17Releases
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.
Major 0Minor 2Patch 15
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal 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 |
| 10 | CI-Tests | 9 out of 9 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 2/7 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 5 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Direct dependencies 2
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | pydantic | >=2.0 | pyproject.toml |
| PyPI | pydantic-ai-slim | >=2.0.0 | pyproject.toml |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Raw JSON report machine-readable
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"oid": "d674cac12f88cc546f4104e0d671b86a38b2d028",
"body": "Every one of these lived where the tooling cannot see: two call sites that\ndisagree, or documentation describing behaviour the code does not implement.\nLint, both type checkers and 100% branch coverage were green throughout.\n\nThe one that matters is run isolation. `soft_cancel_task` and\n`hard_cancel\n[…]\n Sync and background mode recorded different errors for the same\n exhausted budget.\n\nVerified against pydantic-deep (2785 passed) since the capability gained\nfields and the toolset gained validation.",
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"body": "…rement\n\nFollow-up to the refactor, taking the changes that need a downstream update.\n\n- `SubAgentToolset.answer_task()` / `steer_task()`: the Python halves of the\n `answer_subagent` and `send_message_to_subagent` tools. An application that\n drives delegation itself had no way to reach a running s\n[…]\ncol.subagents`. The library never read it, so every\n application declared a dict for nothing. Dropping a protocol requirement only\n widens what satisfies it, so existing deps classes are unaffected.",
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"body": "Correctness, typing, and documentation pass over the whole library. Every public\nentry point keeps its name and signature: `create_subagent_toolset()`,\n`SubAgentToolset`, `toolset.task_manager`, `toolset._compile_subagent`, and all\nexports still work, and pydantic-deep's suite passes unchanged again\n[…]\n a depth limit.\n- `tests/test_docs.py` checks every snippet in `docs/` and `README.md` for syntax\n and API drift.\n- `AGENTS.md` and `agent_docs/` record the invariants and the pydantic-deep coupling.",
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
"labels": [
"library",
"framework"
],
"scores": {
"library": 6,
"framework": 4
},
"primary": "library",
"evidence": [
{
"tier": "distribution",
"label": "library",
"source": "registry:pypi",
"weight": 6
},
{
"tier": "description",
"label": "framework",
"source": "description:framework",
"weight": 2
},
{
"tier": "tags",
"label": "framework",
"source": "tag:framework",
"weight": 2
}
],
"artifacts": [],
"confidence": "medium",
"host_extension": false,
"runs_as_process": false,
"consumed_by_code": true
},
"metrics_version": "2.3.1"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
"deps.dev does not index pypi:subagents-pydantic-ai@0.2.13; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-08-01T12:48:04.101577Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/v/vstorm-co/subagents-pydantic-ai.svg",
"full_name": "vstorm-co/subagents-pydantic-ai",
"license_state": "standard",
"license_spdx": "MIT"
}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 v2.3.1, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.