Haskell · Open Policy AgentApache-2.0★ 233 stars⑂ 10 forkssince Feb 2019View on GitHub ↗
fugue/fregot holds a health index of 31 out of 100, placing it in the At Risk band. It scores highest on Sustainability & Governance (52/100) and lowest on Vitality (19/100). It was last updated 1492 days ago. A single contributor accounts for most of its recent work.
31
overall / 100
At Risk
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.
31
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)
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 41 is calibrated to 36 on the published index scale (record calibration 2026-08-02).
no human commit in 1494 daysautomated commits excludedreleases stalledOpenSSF Scorecard reports it unmaintained
Silence alone is never the finding — a small, finished library may need no commits for years. This alert requires both: no human commit for a long time, and obligations the project is visibly not discharging. Automated commits do not count as maintenance.
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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
More detail
Star and fork history 0 ★ / 10 ⇿
0Stars
10Forks
25Releases
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.
Major 0Minor 8Patch 17
Each point covers 3 days.
OpenSSF Scorecard 4.0 / 10
4.0aggregate
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 · 2026-08-01 07:59 UTC
Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
Registry
Package
Version
Relation
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies to assess
Raw JSON report machine-readable
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"body": "When we have a rule with an index, e.g.:\r\n\r\n match[policy] {\r\n ...\r\n }\r\n\r\nIt's often a good idea to evaluate `policy` first. That way we can bind that\r\nfree variable to whatever the rule is called as. This gives us instant lookup\r\nif we're calling it as `match[\"key\"]`.\r\n\r\nHowever, if \n[…]\n index until after we've evaluated the rule body.\r\n\r\nFurthermore, we ensure that we're always returning a grounded `Value` from rule\r\ndefinitions, rather than a possibly ungrounded `Mu`.\r\n\r\nFixes #233",
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]
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],
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"note": null,
"notes": [],
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"inputs": {
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{
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}
],
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{
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"code": "license_spdx",
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},
{
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{
"code": "weights_renormalized",
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"inputs": {
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{
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{
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"key": "engineering_practices",
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"code": "ci_workflows",
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{
"key": "tests_present",
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{
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]
},
{
"key": "documentation",
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"key": "documentation_directory",
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"key": "wiki",
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"points": 0,
"status": "missed",
"details": [],
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],
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"key": "dangerous_workflow",
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{
"key": "sast",
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"key": "token_permissions",
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"key": "vulnerabilities",
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{
"key": "static_type_checking",
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"components": [
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"code": "statically_typed_language",
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}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "6/33 source files over 60KB",
"points": 45,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 33,
"oversized": 6
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "weak",
"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? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
"labels": [],
"scores": {},
"primary": null,
"evidence": [],
"artifacts": [],
"confidence": "none",
"host_extension": false,
"runs_as_process": false,
"consumed_by_code": false
},
"metrics_version": "2.3.1"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-08-01T07:59:22.346578Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/fugue/fregot.svg",
"full_name": "fugue/fregot",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}
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 v2.3.1, schema v0.27.0 — full methodology · metrics wiki.
