Public recordModerate
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-15 04:28 UTC
fivetran / connector_sdk
Build custom connectors on Fivetran's platform
fivetran/connector_sdk holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (82/100) and lowest on AI Readiness (42/100). It was last updated today. 5 contributors account for most of its recent work.
64
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
64
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
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.
Ownership
FivetranOrganization
398 followers315 public repossince Nov 2012
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
59
Development activity
97Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 33.2/36 | Commit cadence — 48/52 weeks with commits |
| 18/18 | Commit volume — 240 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 240 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 48 |
Release discipline
1Critical
How it's scored
| 0/27 | Ships releases — no releases published |
| 0/36 | Release recency — no releases |
| 0/27 | Release cadence — no releases |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 0 |
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?
67
Popularity & adoption
46At risk
How it's scored
| 30/60 | Stars — 72 stars |
| 13.8/25 | Forks — 46 forks |
| 1.7/15 | Watchers — 3 watchers |
Inputs used
| forks | 46 |
| stars | 72 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
82
How it's scored
| 45.9/54 | Bus factor — 5 contributor(s) cover half of all commits |
| 18.8/22.5 | Commit distribution — top contributor authored 17% of commits |
| 13.5/13.5 | Contributor breadth — 45 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 5 |
| contributors_sampled | 45 |
| top_contributor_share | 0.166 |
Issue & PR responsiveness
88Excellent
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 25.7/38.3 | PR acceptance — 401/596 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 401 |
| open_issues | 0 |
| closed_issues | 6 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 195 |
Ownership & stewardship
74Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 18.7/25 | Owner reach — 398 followers of fivetran |
| 25/25 | Track record — 315 public repos, account ~13 yr old |
Inputs used
| followers | 398 |
| owner_type | Organization |
| is_verified | — |
| owner_login | fivetran |
| public_repos | 315 |
| account_age_days | 5,000 |
Engineering Quality
Are baseline engineering and documentation practices in place?
62
Engineering practices
60Moderate
How it's scored
| 24/24 | CI workflows — 3 workflow(s) |
| 0/24 | Tests present |
| 16/16 | Linter config — .flake8 |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | no |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | no |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://fivetran.com/docs/connectors/connector-sdk |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | https://fivetran.com/docs/connectors/connector-sdk |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
45
Security posture
45At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 16 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.5 |
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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
42
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — .github/copilot-instructions.md, .github/instructions/configuration-review.instructions.md, .github/instructions/python-review.instructions.md, .github/instructions/readme-markdown.instructions.md, all_things_ai/ai_agents/AGENTS.md, all_things_ai/ai_agents/claude_code/CLAUDE.md, all_things_ai/ai_agents/cursor/AGENTS.md, all_things_ai/ai_agents/vscode_with_github_copilot/AGENTS.md, all_things_ai/ai_agents/windsurf/AGENTS.md, all_things_ai/tutorials/claude/CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | .github/copilot-instructions.md, .github/instructions/configuration-review.instructions.md, .github/instructions/python-review.instructions.md, .github/instructions/readme-markdown.instructions.md, all_things_ai/ai_agents/AGENTS.md, all_things_ai/ai_agents/claude_code/CLAUDE.md, all_things_ai/ai_agents/cursor/AGENTS.md, all_things_ai/ai_agents/vscode_with_github_copilot/AGENTS.md, all_things_ai/ai_agents/windsurf/AGENTS.md, all_things_ai/tutorials/claude/CLAUDE.md |
| agent_instruction_max_bytes | 18,189 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
13Critical
How it's scored
| 0/18 | One-command bootstrap |
| 0/22 | Automated tests |
| 11/11 | Lint / format config — .flake8 |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | no |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/87 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 25,221 |
| source_files_sampled | 87 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
72GitHub stars
45contributors
240commits, last 12 months
0days since last push
0releases
5bus 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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 4 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 16 existing vulnerabilities detected |
All dependencies 29
Full resolved dependency set from the GitHub dependency graph: 0 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | azure-identity | — | indirect |
| PyPI | azure-keyvault | — | indirect |
| PyPI | azure-storage | 0.36.0 | indirect |
| PyPI | boto3 | 1.37.3 | indirect |
| PyPI | boto3 | 1.40.11 | indirect |
| PyPI | cryptography | 44.0.2 | indirect |
| PyPI | dask | 2025.11.0 | indirect |
| PyPI | duckdb | 1.0.0 | indirect |
| PyPI | faker | 30.3.0 | indirect |
| PyPI | faker | 40.5.1 | indirect |
| PyPI | mysqlclient | 2.0.0 | indirect |
| PyPI | numpy | 2.2.3 | indirect |
| PyPI | pandas | 2.2.3 | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | paramiko | 3.5.1 | indirect |
| PyPI | pdfplumber | 0.11.7 | indirect |
| PyPI | polars | 1.35.2 | indirect |
| PyPI | psycopg2-binary | 2.9.12 | indirect |
| PyPI | psycopg2-binary | — | indirect |
| PyPI | psycopg2-binary | 2.9.10 | indirect |
| PyPI | pyarrow | 22.0.0 | indirect |
| PyPI | python-dateutil | 2.8.2 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-gnupg | 0.5.4 | indirect |
| PyPI | python-tds | 1.17.1 | indirect |
| PyPI | pytz | 2023.3.post1 | indirect |
| PyPI | snowflake-connector-python | 3.16.0 | indirect |
| PyPI | sshtunnel | 0.4.0 | indirect |
| PyPI | tenacity | 9.1.4 | indirect |
Raw JSON report machine-readable
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"created_at": "2024-01-22T19:29:26Z",
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"updated_at": "2026-07-09T11:07:41Z",
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"contributors_sampled": 45,
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"quality_signals": {
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"linter_configs": [
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"security_signals": {
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"scorecard": {
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"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "16 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 42,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
".github/copilot-instructions.md",
".github/instructions/configuration-review.instructions.md",
".github/instructions/python-review.instructions.md",
".github/instructions/readme-markdown.instructions.md",
"all_things_ai/ai_agents/AGENTS.md",
"all_things_ai/ai_agents/claude_code/CLAUDE.md",
"all_things_ai/ai_agents/cursor/AGENTS.md",
"all_things_ai/ai_agents/vscode_with_github_copilot/AGENTS.md",
"all_things_ai/ai_agents/windsurf/AGENTS.md",
"all_things_ai/tutorials/claude/CLAUDE.md"
],
"agent_instruction_max_bytes": 18189
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": ".github/copilot-instructions.md, .github/instructions/configuration-review.instructions.md, .github/instructions/python-review.instructions.md, .github/instructions/readme-markdown.instructions.md, all_things_ai/ai_agents/AGENTS.md, all_things_ai/ai_agents/claude_code/CLAUDE.md, all_things_ai/ai_agents/cursor/AGENTS.md, all_things_ai/ai_agents/vscode_with_github_copilot/AGENTS.md, all_things_ai/ai_agents/windsurf/AGENTS.md, all_things_ai/tutorials/claude/CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".github/copilot-instructions.md, .github/instructions/configuration-review.instructions.md, .github/instructions/python-review.instructions.md, .github/instructions/readme-markdown.instructions.md, all_things_ai/ai_agents/AGENTS.md, all_things_ai/ai_agents/claude_code/CLAUDE.md, all_things_ai/ai_agents/cursor/AGENTS.md, all_things_ai/ai_agents/vscode_with_github_copilot/AGENTS.md, all_things_ai/ai_agents/windsurf/AGENTS.md, all_things_ai/tutorials/claude/CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "critical",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 13,
"inputs": {
"has_nix": false,
"has_tests": false,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".flake8",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 25221,
"source_files_sampled": 87,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/87 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 87,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-15T04:28:41.688688Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/fivetran/connector_sdk.svg",
"full_name": "fivetran/connector_sdk",
"license_state": "standard",
"license_spdx": "MIT"
}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 v1.13.0, schema v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.