Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-15 21:18 UTC

Cranot / roam-code

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 238 commands, 224 MCP tools, change-safety gates, audit evidence, zero API keys.

PythonApache-2.0★ 498 stars⑂ 47 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolMCP serverLibraryhow this is determined
#ai-coding#cli#code-analysis#code-graph#code-intelligence#code-quality#mcp-server#static-analysis#tree-sitter#developer-tools#model-context-protocol#python#graph-analysis#mcp#ai-agents#code-review#local-first#refactoring#software-architecture#sqlite

Cranot/roam-code holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (52/100). It was last updated today. A single contributor accounts for most of its recent work.

87
overall / 100
Excellent

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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

DimitrisPersonal account
120 followers48 public repossince Nov 2018CosmoHac

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
PyPIroam-code13.9.05,430870 days agoagent-osagentic-assuranceai-agentsai-codingaudit-trailblast-radiuschange-evidencecode-analysiscode-reviewcodebase-intelligencedeveloper-toolsevidence-compilerlocal-firstmcpmcp-servermodel-context-protocolpreflightsarifsecuritysoftware-architecturestatic-analysistree-sitter

Metrics by category

Vitality

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

83Excellent · 21% of overall

Development activity

73Good
How it's scored
36/36Push recency — last push 0 days ago
9/36Commit cadence — 13/52 weeks with commits
18/18Commit volume — 2,224 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,224
human_commit_share—
days_since_last_push0
active_weeks_last_year13

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 68 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~6.3 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count68
latest_release_tagv13.9.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases6.3

Community & Adoption

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

72Good · 17% of overall

Popularity & adoption

62Moderate
How it's scored
43.7/60Stars — 498 stars
13.9/25Forks — 47 forks
4.3/15Watchers — 7 watchers
Inputs used
forks47
stars498
watchers7
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 (Apache-2.0)
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

62Moderate
How it's scored
49.8/80Monthly downloads — 5,430 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesroam-code
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,430
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?

52Moderate · 23% of overall

Maintainer resilience (bus factor)

15Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.995

Issue & PR responsiveness

49Weak
How it's scored
39.4/42Issue resolution — 94% of issues closed
3/30PR acceptance — 4/40 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs4
open_issues1
closed_issues15
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.938
closed_unmerged_prs36
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

62Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15/25Owner reach — 120 followers of Cranot
24.3/25Track record — 48 public repos, account ~7 yr old
Inputs used
followers120
owner_typeUser
is_verified—
owner_loginCranot
public_repos48
account_age_days2,813
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

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 — 87 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesroam-code
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://roam-code.com/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsai-coding, cli, code-analysis, code-graph, code-intelligence, code-quality, mcp-server, static-analysis, tree-sitter, developer-tools, model-context-protocol, python, graph-analysis, mcp, ai-agents, code-review, local-first, refactoring, software-architecture, sqlite
has_wikino
homepagehttps://roam-code.com/
docs_sitehttps://roam-code.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

61Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — no SAST tool detected
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
5.2/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 20 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests. 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.

83Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
0/40Legible commit history — no data
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes53,325
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

74Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
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.

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.7/55Manageable file sizes — 49/2,061 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes732,528
source_files_sampled2,061
oversized_source_files49

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — demos, examples
Inputs used
example_dirsdemos, examples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

498GitHub stars
2contributors
2,224commits, last 12 months
0days since last push
68releases
1bus factor
1open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-07-15 21:18 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
7Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities20 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIclick>=8.0pyproject.toml
PyPItree-sitter>=0.23pyproject.toml
PyPItree-sitter-language-pack>=0.6,<1.6.3pyproject.toml
PyPInetworkx>=3.0pyproject.toml
PyPItomli—pyproject.toml
All dependencies 160

Full resolved dependency set from the GitHub dependency graph: 10 direct and 150 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick—direct
PyPIclick8.3.3direct
PyPInetworkx—direct
PyPInetworkx3.4.2direct
PyPInetworkx3.6.1direct
PyPItomli2.4.1direct
PyPItree-sitter—direct
PyPItree-sitter0.25.2direct
PyPItree-sitter-language-pack—direct
PyPItree-sitter-language-pack1.6.2direct
PyPIaiofile3.9.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIast-serialize0.5.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIboolean-py5.0indirect
PyPIbuild—indirect
PyPIbuild1.5.0indirect
PyPIcachetools7.1.1indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.4.22indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.4.6indirect
PyPIcryptography49.0.0indirect
PyPIcyclonedx-python-lib—indirect
PyPIcyclonedx-python-lib11.7.0indirect
PyPIcyclopts4.12.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.22.4indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastmcp—indirect
PyPIfastmcp3.2.4indirect
PyPIfilelock3.29.0indirect
PyPIflatbuffers25.12.19indirect
PyPIfsspec2026.4.0indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhf-xet1.5.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub1.14.0indirect
PyPIid1.6.1indirect
PyPIidna3.15indirect
PyPIigraph—indirect
PyPIigraph1.0.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjoserfc1.7.3indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.4.6indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIleidenalg—indirect
PyPIleidenalg0.11.0indirect
PyPIlibrt0.11.0indirect
PyPIlicense-expression30.4.4indirect
PyPIlightgbm—indirect
PyPIlightgbm4.6.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImcp1.27.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.0.2indirect
PyPImpmath1.3.0indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPInh30.3.5indirect
PyPInumpy—indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.4indirect
PyPIonnxruntime—indirect
PyPIonnxruntime1.24.3indirect
PyPIonnxruntime1.26.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.41.1indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIpathable0.5.0indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.2.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIprotobuf7.34.1indirect
PyPIpy-key-value-aio0.4.4indirect
PyPIpy-serializable2.1.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyperclip1.11.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrich-rst1.3.2indirect
PyPIroam-code—indirect
PyPIroam-code13.7.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff—indirect
PyPIruff0.15.12indirect
PyPIrustworkx—indirect
PyPIrustworkx0.17.1indirect
PyPIscipy—indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools—indirect
PyPIshellingham1.5.4indirect
PyPIsortedcontainers2.4.0indirect
PyPIsse-starlette3.4.4indirect
PyPIstarlette1.3.1indirect
PyPIsympy1.14.0indirect
PyPItexttable1.7.0indirect
PyPItokenizers—indirect
PyPItokenizers0.23.1indirect
PyPItqdm4.67.3indirect
PyPItwine—indirect
PyPItwine6.2.0indirect
PyPItyper0.25.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.3.2indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.46.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets16.0indirect
PyPIzipp3.23.1indirect
Raw JSON report machine-readable

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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 v0.11.0 — full methodology · metrics wiki.

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