Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 14:03 UTC

Arjun0606 / smolanalytics

End-to-end tests without test code. Write one sentence, an agent drives a real browser on every pull request and tells you what broke. A passing run is recorded and replays with no model call. Commercial, hosted at smolanalytics.com.

Go · JavaScriptMIT★ 3 stars⑂ 1 forksince Jun 2026View on GitHub ↗
KindCommand-line toolMCP serverNetwork serviceLibraryhow this is determined
#claude#cursor#golang#mcp#mcp-server#agentic-testing#ai-testing#browser-automation#ci-cd#e2e-testing#end-to-end-testing#github-actions#no-code-testing#playwright#pull-request#qa#regression-testing#test-automation#testing#vibe-coding

Arjun0606/smolanalytics holds a health index of 57 out of 100, placing it in the Moderate band. It scores highest on Vitality (81/100) and lowest on Security (30/100). It was last updated today. A single contributor accounts for most of its recent work.

57
overall / 100
Moderate

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.

57
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 55 is calibrated to 57 on the published index scale (record calibration 2026-08-02).

Ownership

Arjun0606Personal account
6 followers43 public repossince Oct 2020

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
Gogithub.com/Arjun0606/smolanalyticsv0.92.1-1770 days ago—
npmsmolanalytics0.21.03,173220 days agoe2e-testingend-to-end-testingtestingtest-automationplaywrightqaai-testingagentic-testingbrowser-testingregression-testingno-code-testingcigithub-actionspull-requestmcpcursorclaudevibe-coding

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

68Good
How it's scored
36/36Push recency — last push 0 days ago
7.6/36Commit cadence — 11/52 weeks with commits
18/18Commit volume — 568 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year568
human_commit_share1
days_since_last_push0
active_weeks_last_year11

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 ~2.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.92.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.2

Community & Adoption

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

49Weak · 17% of overall

Popularity & adoption

5Critical
How it's scored
4.9/60Stars — 3 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars3
watchers0
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 (MIT)
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

58Moderate
How it's scored
46.7/80Monthly downloads — 3,173 downloads/month across go, npm
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgithub.com/Arjun0606/smolanalytics, smolanalytics
dependents—
ecosystemsgo, npm
total_downloads—
monthly_downloads3,173
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?

36Weak · 23% of overall

Maintainer resilience (bus factor)

12Critical
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 — no data
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

1Critical
How it's scored
0/42Issue resolution — 0% of issues closed
0/30PR acceptance — no decided pull requests or no data
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs0
open_issues4
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

50Moderate
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 Arjun0606
23.8/25Track record — 43 public repos, account ~5 yr old
Inputs used
followers6
owner_typeUser
is_verified—
owner_loginArjun0606
public_repos43
account_age_days2,153
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on go, npm
35/35Publish recency — latest publish 0 days ago
20/20Version history — 177 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgithub.com/Arjun0606/smolanalytics, smolanalytics
ecosystemsgo, npm
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 19% of overall

Engineering practices

60Moderate
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://smolanalytics.com
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsclaude, cursor, golang, mcp, mcp-server, agentic-testing, ai-testing, browser-automation, ci-cd, e2e-testing, end-to-end-testing, github-actions, no-code-testing, playwright, pull-request, qa, regression-testing, test-automation, testing, vibe-coding
has_wikino
homepagehttps://smolanalytics.com
docs_sitehttps://smolanalytics.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

30At Risk · 16% of overall

Security posture

30At Risk
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestscli/package.json, go.mod
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

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.

81Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, docs/agents.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md, docs/agents.md
agent_instruction_max_bytes7,571

Verify loop (build / test / typecheck)

68Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — Go (statically typed)
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageyes
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifestsgo.mod
dependency_bot_commit_share0

Code legibility for models

99Exceptional
How it's scored
45/45Type-checkable code — Go (statically typed)
54.3/55Manageable file sizes — 6/493 source files over 60KB
Inputs used
primary_languageGo
largest_source_bytes119,684
source_files_sampled493
oversized_source_files6

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

3GitHub stars
1contributors
568commits, last 12 months
0days since last push
100releases
1bus factor
4open issues
Go, npmpackage 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 npm:smolanalytics@0.21.0; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/Arjun0606/smolanalytics: run: internal error: ListCommits:error during graphqlHandler.setup: internal error: githubv4.Query: Something went wrong while executing your query on 2026-09-09T14:03:23Z. Please include `CDE8:3989DA:1476C51:13D26D5:6AA16728` when reporting this issue.); skipping Scorecard checks

More detail

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

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with Arjun0606/smolanalytics. Read them side by side →

99microsoft/playwrightPlaywright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API. Exceptional97promptfoo/promptfooTest your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.Exceptional96diegosouzapw/OmniRouteNever stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributorsExceptional96alpic-ai/skybridgeSkybridge is a full-stack TypeScript framework for MCP Apps and ChatGPT Apps. Type-safe. React-powered. Platform-agnostic.Exceptional96codeceptjs/CodeceptJSSupercharged End 2 End Testing Framework for NodeJSExceptional100go-gitea/giteaGit with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CDExceptional

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 — Go, npm.