Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-17 16:46 UTC

phenobarbital / ai-parrot

Parrot is a new library to work with chatbots and agents with a very simple API

PythonMIT★ 27 stars⑂ 10 forkssince Aug 2024View on GitHub ↗
#artificial-intelligence#claude-ai#google-genai#groq-ai#openai#orchestration#xai-api

phenobarbital/ai-parrot holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Vitality (100/100) and lowest on Community & Adoption (41/100). It was last updated today. A single contributor accounts for most of its recent work.

73
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.

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

Ownership

phenobarbitalPersonal account
124 followers77 public repossince Oct 2009DEVEL

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 8,451 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_year8,451
human_commit_share—
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~4.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag0.25.20
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases4.1
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?

41Weak · 17% of overall

Popularity & adoption

34At Risk
How it's scored
23/60Stars — 27 stars
8/25Forks — 10 forks
2.7/15Watchers — 4 watchers
Inputs used
forks10
stars27
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized 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?

42Weak · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.8/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 11 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.922

Issue & PR responsiveness

30At Risk
How it's scored
0/42Issue resolution — 0% of issues closed
26.1/30PR acceptance — 887/1,021 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0
Inputs used
merged_prs887
open_issues1
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0
closed_unmerged_prs134
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

63Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.1/25Owner reach — 124 followers of phenobarbital
25/25Track record — 77 public repos, account ~16 yr old
Inputs used
followers124
owner_typeUser
is_verified—
owner_loginphenobarbital
public_repos77
account_age_days6,120
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

64Moderate
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc, tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 2 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://phenobarbital.github.io/ai-parrot/
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsartificial-intelligence, claude-ai, google-genai, groq-ai, openai, orchestration, xai-api
has_wikino
homepagehttps://phenobarbital.github.io/ai-parrot/
docs_sitehttps://phenobarbital.github.io/ai-parrot/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 2 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/2 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 7 contributing companies or organizations
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 — no data
3.5/5SAST — SAST tool detected but not 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
0/7.5Vulnerabilities — 42 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): Pinned-Dependencies, 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.

88Excellent · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, docs/agent.md
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_filesAGENTS.md, CLAUDE.md, docs/agent.md
agent_instruction_max_bytes13,619
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

96Exceptional
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc, tox.ini
11/11Static type checking — mypy.ini, packages/ai-parrot-loaders/src/parrot_loaders/py.typed, packages/ai-parrot-pipelines/src/parrot_pipelines/py.typed, packages/ai-parrot-tools/src/parrot_tools/py.typed, packages/ai-parrot/src/parrot/py.typed, packages/parrot-formdesigner/src/parrot_formdesigner/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, go.sum
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, packages/ai-parrot-loaders/src/parrot_loaders/py.typed, packages/ai-parrot-pipelines/src/parrot_pipelines/py.typed, packages/ai-parrot-tools/src/parrot_tools/py.typed, packages/ai-parrot/src/parrot/py.typed, packages/parrot-formdesigner/src/parrot_formdesigner/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice, OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, packages/ai-parrot-loaders/src/parrot_loaders/py.typed, packages/ai-parrot-pipelines/src/parrot_pipelines/py.typed, packages/ai-parrot-tools/src/parrot_tools/py.typed, packages/ai-parrot/src/parrot/py.typed, packages/parrot-formdesigner/src/parrot_formdesigner/py.typed)
54.3/55Manageable file sizes — 50/3,942 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,030,855
source_files_sampled3,942
oversized_source_files50

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — packages/ai-parrot-server/src/parrot/mcp/transports/mcp.proto, packages/ai-parrot/src/parrot/core/events/bus/ingress/proto/events.proto
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filespackages/ai-parrot-server/src/parrot/mcp/transports/mcp.proto, packages/ai-parrot/src/parrot/core/events/bus/ingress/proto/events.proto
interfaces_expected_of—

Key facts

27GitHub stars
11contributors
8,451commits, last 12 months
0days since last push
100releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'ai-parrot-workspace' from its registry

More detail

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-07-17 16:46 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 2 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 0/2 approved changesets -- score normalized to 0
10Contributorsproject has 7 contributing companies or organizations
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
n/aPinned-Dependenciesinternal error: internal error: invalid Dockerfile
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities42 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIai-parrot—pyproject.toml
PyPIai-parrot-tools—pyproject.toml
PyPIai-parrot-loaders—pyproject.toml
PyPIai-parrot-embeddings—pyproject.toml
PyPIai-parrot-visualizations—pyproject.toml
PyPIai-parrot-pipelines—pyproject.toml
PyPIai-parrot-integrations—pyproject.toml
PyPIai-parrot-server—pyproject.toml
PyPIai-parrot-advisors—pyproject.toml
All dependencies 349

Full resolved dependency set from the GitHub dependency graph: 1 direct and 348 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIrequests-oauthlib2.0.0indirect
PyPIresemblyzer0.1.4indirect
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PyPIspacy3.8.11indirect
PyPIsphinx6.1.3indirect
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PyPIsse-starlette3.0.2indirect
PyPIstackapi0.3.1indirect
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PyPIta-lib0.6.8indirect
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PyPItorch-pitch-shift1.2.5indirect
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PyPIundetected-chromedriver3.5.5indirect
PyPIurllib32.7.0indirect
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PyPIweasyprint69.0indirect
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PyPIwebdriver-manager4.0.2indirect
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PyPIyfinance0.2.54indirect
PyPIyoutube-search2.1.2indirect
PyPIyoutube-transcript-api1.0.3indirect
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PyPIzeep4.3.3indirect
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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 v0.12.0 — full methodology · metrics wiki.

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