Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 02:47 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 ↗
KindLibraryhow this is determined
#ai#anthropic#llm#openai#python#mcp#ai-agents#chatbot#claude#function-calling#gpt

myriade-ai/agentlys holds a health index of 77 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.

77
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.

77
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 66 is calibrated to 77 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
PyPIagentlys1.19.13,356480 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 0 days ago
23.5/36Commit cadence — 34/52 weeks with commits
18/18Commit volume — 159 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year159
human_commit_share0.77
days_since_last_push0
active_weeks_last_year34

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 77 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~3.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count77
latest_release_tagv1.19.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.5
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

Popularity & adoption

26At Risk
How it's scored
24/60Stars — 31 stars
2.5/25Forks — 3 forks
0/15Watchers — 2 watchers
Inputs used
forks3
stars31
watchers2
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_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

59Moderate
How it's scored
47/80Monthly downloads — 3,356 downloads/month across pypi
0/20Registry dependents — not 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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4/22.5Commit distribution — top contributor authored 82% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.821

Issue & PR responsiveness

67Good
How it's scored
42/42Issue resolution — 100% of issues closed
16.4/30PR acceptance — 153/280 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/24 approved changesets -- score normalized to 0
Inputs used
merged_prs153
open_issues0
closed_issues2
prs_merged_7d2
prs_decided_7d2
prs_merged_30d9
prs_decided_30d9
issue_closed_ratio1
closed_unmerged_prs127
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

49Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
5/25Owner reach — 4 followers of myriade-ai
14.4/25Track record — 7 public repos, account ~3 yr old
Inputs used
followers4
owner_typeOrganization
is_verifiedno
owner_loginmyriade-ai
public_repos7
account_age_days1,428

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 48 published versions
20/20Not deprecated — active, 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

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 18 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
10/10Topics — 11 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?

47Weak · 16% of overall

Security posture

45Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 18 out of 18 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 0/24 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 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 48 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.

Dependency advisories

56Moderate
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: pillow 11.3.0 (critical 9.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.6/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 209 days ago
Inputs used
sourceosv
advisories93
affected_packages14
assessed_packages85
unassessed_packages0
affected_by_severitycritical 2, high 6, moderate 5, low 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 85 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

60Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 77 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 32 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 23 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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.32
toolchain_manifests—
dependency_bot_commit_share0.23

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.9/55Manageable file sizes — 1/50 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes65,403
source_files_sampled50
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
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
2contributors
159commits, last 12 months
0days since last push
77releases
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 'agentlys' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for agentlys carried forward from the previous scan (stats endpoint unavailable this scan)
  • deps.dev does not index pypi:agentlys@1.19.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
9Releases

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.

12233312025-122026-012026-02
Major 0Minor 6Patch 3
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 · 2026-09-09 02:46 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
10Maintained30 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
0Vulnerabilities48 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
PyPIagentlys1.19.1indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.122.0indirect
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
PyPIfilelock3.18.0indirect
PyPIfilelock3.20.3indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.27.2indirect
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
PyPIjeepney0.9.0indirect
PyPIjiter0.11.1indirect
PyPIkeyring25.6.0indirect
PyPImarkdown-it-py3.0.0indirect
PyPImcp1.6.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.7.0indirect
PyPImultidict6.1.0indirect
PyPInh30.3.0indirect
PyPInodeenv1.9.1indirect
PyPIopenai2.46.0indirect
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
PyPIrequests2.32.4indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.1.0indirect
PyPIruff0.15.17indirect
PyPIsecretstorage3.3.3indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette2.2.1indirect
PyPIstarlette0.49.1indirect
PyPItomli2.2.1indirect
PyPItqdm4.67.1indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib31.26.20indirect
PyPIuv0.12.5indirect
PyPIuvicorn0.34.0indirect
PyPIvcrpy6.0.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwrapt1.17.0indirect
PyPIyarl1.18.3indirect
PyPIzipp3.23.0indirect
Dependency advisories 14

This repository publishes no package the index resolves, so its own dependency graph was assessed — 85 packages, which also include development and test pins that never ship: 14 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.3.0directcritical3612.3.0
cryptography46.0.6indirectcritical950.0.0
click8.1.8indirecthigh18.3.3
jaraco-context6.0.1indirecthigh26.1.0
mcp1.6.0indirecthigh101.28.1
starlette0.49.1indirecthigh101.3.1
urllib31.26.20indirecthigh102.7.0
vcrpy6.0.1indirecthigh18.2.1
filelock3.18.0indirectmoderate43.20.3
idna3.10indirectmoderate23.15
pytest8.4.2indirectmoderate29.0.3
python-dotenv1.1.0indirectmoderate21.2.2
requests2.32.4indirectmoderate22.33.0
pygments2.19.2indirectlow22.20.0

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.

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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.