Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-16 10:35 UTC

myriade-ai / agentlys

Lightweight AI agent library. Turn Python functions/classes into AI tools instantly. No verbose configs or complex abstractions.

PythonMIT★ 31 stars⑂ 3 forkssince Aug 2023View on GitHub ↗

myriade-ai/agentlys holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (93/100) and lowest on Community & Adoption (43/100). It was last updated today. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

MyriadeOrganization
4 followers7 public repossince Oct 2022

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIagentlys1.16.03,356370 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
23.5/36Commit cadence34/52 weeks with commits
18/18Commit volume146 commits in the last year
10/10OpenSSF Scorecard: Maintained26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year146
human_commit_share
days_since_last_push0
active_weeks_last_year34

Release discipline

100Exceptional
How it's scored
27/27Ships releases66 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~9.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count66
latest_release_tagv1.16.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases9.3
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?

43Weak · 17% of overall
How it's scored
24/60Stars31 stars
2.5/25Forks3 forks
0/15Watchers2 watchers
Inputs used
forks3
stars31
watchers2
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
How it's scored
47/80Monthly downloads3,356 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesagentlys
dependents
ecosystemspypi
total_downloads
monthly_downloads3,356
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?

59Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.6/22.5Commit distributiontop contributor authored 62% of commits
4.1/13.5Contributor breadth3 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.617
How it's scored
42/42Issue resolution100% of issues closed
16.5/30PR acceptance138/251 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/24 approved changesets -- score normalized to 0
Inputs used
merged_prs138
open_issues0
closed_issues2
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio1
closed_unmerged_prs113
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
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
5/25Owner reach4 followers of myriade-ai
14.1/25Track record7 public repos, account ~3 yr old
Inputs used
followers4
owner_typeOrganization
is_verified
owner_loginmyriade-ai
public_repos7
account_age_days1,373
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 0 days ago
20/20Version history37 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesagentlys
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-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_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics11 topics
10/10Wiki
Inputs used
topicsai, anthropic, llm, openai, python, mcp, ai-agents, chatbot, claude, function-calling, gpt
has_wikiyes
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?

45Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
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 0/24 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
7.5/7.5Maintained26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0/7.5Vulnerabilities38 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.5
Excluded from scoring (no data or not applicable): Packaging, 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.

45Weak · 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
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/44 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes55,713
source_files_sampled44
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

31GitHub stars
3contributors
146commits, last 12 months
0days since last push
66releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.5 / 10
4.5aggregate

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 · 2026-07-16 10:35 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
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 0/24 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
10Maintained26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0Vulnerabilities38 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIpillow==11.3.0pyproject.toml
PyPIpydantic==2.12.5pyproject.toml
All dependencies 85

Full resolved dependency set from the GitHub dependency graph: 2 direct and 83 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpillow11.3.0direct
PyPIpydantic2.12.5direct
PyPIagentlys1.16.0indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.109.1indirect
PyPIanyio4.7.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbuild1.4.4indirect
PyPIcertifi2024.12.14indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.1.8indirect
PyPIcolorama0.4.6indirect
PyPIcryptography46.0.6indirect
PyPIdistlib0.3.9indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22indirect
PyPIexceptiongroup1.2.2indirect
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PyPIfilelock3.20.3indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
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PyPIhttpx-sse0.4.0indirect
PyPIid1.5.0indirect
PyPIidentify2.6.9indirect
PyPIidna3.10indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.0.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-functools4.2.1indirect
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PyPImore-itertools10.7.0indirect
PyPImultidict6.1.0indirect
PyPInh30.3.0indirect
PyPInodeenv1.9.1indirect
PyPIopenai2.41.1indirect
PyPIpackaging24.2indirect
PyPIplatformdirs4.3.7indirect
PyPIpluggy1.5.0indirect
PyPIpre-commit4.3.0indirect
PyPIpropcache0.2.1indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.8.1indirect
PyPIpygments2.19.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio1.2.0indirect
PyPIpytest-recording0.13.4indirect
PyPIpython-dotenv1.1.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.2indirect
PyPIreadme-renderer44.0indirect
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PyPIrequests-toolbelt1.0.0indirect
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PyPIrich14.1.0indirect
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PyPIsecretstorage3.3.3indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette2.2.1indirect
PyPIstarlette0.49.1indirect
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PyPItyping-extensions4.15.0indirect
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PyPIurllib31.26.20indirect
PyPIuv0.11.21indirect
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PyPIvirtualenv20.36.1indirect
PyPIwrapt1.17.0indirect
PyPIyarl1.18.3indirect
PyPIzipp3.23.0indirect
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 v0.11.0 — full methodology · metrics wiki.

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