Prodesire/py-libterraform holds a health index of 66 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (81/100) and lowest on AI Readiness (45/100). It was last updated 23 days ago. A single contributor accounts for most of its recent work.
66
overall / 100
Moderate
Software 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.
66
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.
Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25
Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40
No advisories left outstanding — no advisory carries a publication date
Inputs used
source
osv
advisories
3
affected_packages
2
assessed_packages
42
unassessed_packages
0
affected_by_severity
moderate 2
direct_affected_packages
0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 42 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.
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.
Type-checkable code — Python without a type-check config
54.1/55
Manageable file sizes — 1/60 source files over 60KB
Inputs used
primary_language
Python
largest_source_bytes
102,973
source_files_sampled
60
oversized_source_files
1
Key facts
44GitHub stars
2contributors
56commits, last 12 months
23days since last push
19releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
More detail
Star and fork history 0 ★ / 11 ⇿
0Stars
11Forks
7Releases
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 6Patch 1
Each point covers 4 days.
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 · 2026-07-26 18:25 UTC
Full resolved dependency set from the GitHub dependency graph: 0 direct and 42 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
Registry
Package
Version
Relation
PyPI
backports-asyncio-runner
1.2.0
indirect
PyPI
click
8.4.1
indirect
PyPI
colorama
0.4.6
indirect
PyPI
deepmerge
2.0
indirect
PyPI
exceptiongroup
1.3.1
indirect
PyPI
ghp-import
2.1.0
indirect
PyPI
griffelib
2.0.2
indirect
PyPI
hatchling
1.27.0
indirect
PyPI
hatchling
1.30.1
indirect
PyPI
iniconfig
2.1.0
indirect
PyPI
iniconfig
2.3.0
indirect
PyPI
jinja2
3.1.6
indirect
PyPI
markdown
3.10.2
indirect
PyPI
markupsafe
3.0.3
indirect
PyPI
mergedeep
1.3.4
indirect
PyPI
mkdocs
1.6.1
indirect
PyPI
mkdocs-autorefs
1.4.4
indirect
PyPI
mkdocs-get-deps
0.2.2
indirect
PyPI
mkdocstrings
1.0.4
indirect
PyPI
mkdocstrings-python
2.0.3
indirect
PyPI
packaging
26.2
indirect
PyPI
pathspec
1.1.1
indirect
PyPI
platformdirs
4.10.0
indirect
PyPI
pluggy
1.6.0
indirect
PyPI
pygments
2.20.0
indirect
PyPI
pymdown-extensions
10.21.3
indirect
PyPI
pytest
8.4.2
indirect
PyPI
pytest
9.0.3
indirect
PyPI
pytest-asyncio
1.2.0
indirect
PyPI
pytest-asyncio
1.4.0
indirect
PyPI
pytest-timeout
2.4.0
indirect
PyPI
python-dateutil
2.9.0.post0
indirect
PyPI
pyyaml
6.0.3
indirect
PyPI
pyyaml-env-tag
1.1
indirect
PyPI
ruff
0.15.13
indirect
PyPI
six
1.17.0
indirect
PyPI
tomli
2.4.1
indirect
PyPI
trove-classifiers
2026.6.1.19
indirect
PyPI
ty
0.0.42
indirect
PyPI
typing-extensions
4.15.0
indirect
PyPI
watchdog
6.0.0
indirect
PyPI
zensical
0.0.43
indirect
Dependency advisories 2
This repository publishes no package the index resolves, so its own dependency graph was assessed — 42 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct.
Package
Version
Relation
Severity
Advisories
Fixed in
pymdown-extensions
10.21.3
indirect
moderate
1
11.0.0
pytest
8.4.2
indirect
moderate
2
9.0.3
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
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},
{
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}
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"oid": "b7070ada2fbb46b5020c948086873b3b7e47fcf3",
"body": "Avoid parent-process chdir during Terraform commands",
"is_bot": false,
"headline": "Merge pull request #12 from Prodesire/codex/process-backend-default",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-07-03T04:53:23Z",
"body_truncated": false,
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},
{
"oid": "92cf0e12b46c99553b8393290047e229afb778ff",
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"is_bot": false,
"headline": "Run Terraform commands in process backend by default",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-07-03T04:39:33Z",
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"body": null,
"is_bot": false,
"headline": "docs: update Terraform integration comparison",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-23T02:53:40Z",
"body_truncated": false,
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},
{
"oid": "4157b082fb061041feed6a982bd45e5107371f66",
"body": null,
"is_bot": false,
"headline": "ci: build release wheels once per platform",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-23T01:43:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "df459f03c1c6dbb594dad07190b20713d70e37ff",
"body": null,
"is_bot": false,
"headline": "ci: publish releases with PyPI token",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T12:40:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "212f529bc24b262f0f40f8a3993ad01843a95ab7",
"body": null,
"is_bot": false,
"headline": "test: update docs nav assertions",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T12:33:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e8135e68d3f2a87e0e4ae0b1c026b1ec0e62fb1c",
"body": null,
"is_bot": false,
"headline": "docs: promote integration comparison in nav",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T12:24:08Z",
"body_truncated": false,
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},
{
"oid": "7a816747fedd4083eb222f073d5183de4abfdc8f",
"body": null,
"is_bot": false,
"headline": "fix: use spawn context for terraform pool",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T12:03:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "14fb1cd9005555c2938c7006f9d6889664406087",
"body": null,
"is_bot": false,
"headline": "Add Python Terraform integration comparison",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T12:01:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6fc4c0e1eb230126c1480db894d9f4759f3ee3e9",
"body": null,
"is_bot": false,
"headline": "ci: add pytest hang diagnostics",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T11:54:00Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f80805d1704d7e0c1b1c3ddcf10ab9bec12481ba",
"body": "test_stream_close_cancels_running_command cancelled at the very first\napply_start event; cancelling during Terraform's graph setup can be missed, so\nthe apply occasionally ran to completion on CI. Wait for the apply to settle\nin-flight before closing, matching the pool/async cancellation tests.\n\nAlso make the liveness test assert that apply events spread across the run\nrather than checking absolute timestamps, which is robust on slow runners.",
"is_bot": false,
"headline": "test: stabilize streaming cancellation/liveness tests on CI",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T08:44:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a2868f8c1ecfa51cda15d9cc72cf1c62bacc9f1e",
"body": "The logo is displayed at 180px wide but was a 1254x1254 PNG, so it dominated the\nhomepage payload. Downscale it to 512x512 (still crisp on high-DPI displays) and\nre-optimize, keeping it visually identical. All references already display it at\nwidth=180, so nothing else changes.",
"is_bot": false,
"headline": "docs: shrink the project logo (1.2 MB -> 206 KB)",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:55:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "053884093e2fe9428391c89c3ed988ae1548fc03",
"body": "… nav\n\nThe logo, favicon and language-switcher script live in docs/assets/, outside\neach site's docs_dir, so zensical never copies them into the built site. `make\ndoc-build` works around this with `cp -R docs/assets/. site/assets/`, but the\nGitHub Pages workflow built with zensical directly and skip\n[…]\n step to the workflow (and assert it in the docs test).\n\nAlso move \"Results & Streaming\" after \"TerraformConfig\" (just before\n\"Exceptions\") in both the English and Chinese navigation and API overview.",
"is_bot": false,
"headline": "fix(docs): deploy shared assets in CI and reorder Results & Streaming…",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:47:39Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "812f6a9200b110fa79a01f305c6e6ffb36e33fac",
"body": "The async page rendered run/stream/plan_stream/apply_stream as bare signatures,\nand the Chinese page hid their docstrings entirely, leaving them without\ndescriptions. Render each as its own per-method block (English shows the\ndocstring, Chinese adds a description) and assert the bilingual structure.",
"is_bot": false,
"headline": "docs: describe AsyncTerraformCommand run and streaming methods",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:40:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "10b08067d27a43364bcc7d1516075ac30e0924ca",
"body": "Document the new structured results and streaming features with matching English\nand Chinese pages:\n\n- New \"Plan Results and Streaming\" getting-started guide with runnable examples\n (structured PlanResult/ApplyResult views and sync/async streaming).\n- New \"Results & Streaming\" API page covering Pla\n[…]\nnto the nav and the API overview, and assert the bilingual\n structure in the docs tests.\n\nAlso drop the RST example block from the TerraformStream docstring so it renders\ncleanly on the English page.",
"is_bot": false,
"headline": "docs: bilingual guide and API reference for results and streaming",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:36:23Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "8ded832fcea62fee10a5ab08e6170b9e29351e16",
"body": "Update __version__, the 0.15 release-matrix entry, the docs version tables and\nthe version-coupled tests. Stays on the 0.15/1.15 line (Terraform 1.15.5) per\nthe release policy.",
"is_bot": false,
"headline": "release: bump version to 0.15.1",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:35:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4766b02f12039c59ea54650648874428c9b342e2",
"body": "stream()/plan_stream()/apply_stream() were plain functions that returned an\nasync generator. They worked with `async for`, but introspection reported them\nas neither coroutine nor async-generator functions. Define them as `async def`\ngenerators (delegating to the shared _aiter_stream pump), so they are proper\nasync-generator functions and read as intended. Behaviour is unchanged.",
"is_bot": false,
"headline": "refactor: make AsyncTerraformCommand streaming methods async generators",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:35:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b9a00525d1ac3705a6b11360d85753d5d0be2c61",
"body": "Add streaming so long-running commands surface output as it happens instead of\nonly after they finish.\n\n- TerraformCommand.stream()/plan_stream()/apply_stream() return a TerraformStream\n iterator. Iterating yields parsed -json events (json=True) or raw text lines.\n After iteration, .retcode and .s\n[…]\nc-iterator wrappers instead of the thread-based async methods. Convert the\nnew docstrings' RST roles to Markdown so they render cleanly, and document the\nstreaming methods on the Chinese command page.",
"is_bot": false,
"headline": "feat: stream Terraform output live (sync generator + async iterator)",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:18:12Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "18e19675fd83f42e1e489d75e5fcac0ea25ae2a0",
"body": null,
"is_bot": false,
"headline": "docs: add shared project logo",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T07:01:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fe844d018f64f42a9f6440f75da2db4f17928db7",
"body": "plan() now returns PlanResult and apply()/destroy() return ApplyResult, both\nsubclasses of CommandResult so existing .retcode/.value/.error access is\nunchanged. They add lazily-parsed structured views over the -json event stream:\n\n- .changes -> list[ResourceChange] (address, action, type, name, mo\n[…]\ndependency-free libterraform.models module and tolerates\nnon-list values (json=False) by returning empty. The result objects stay\npicklable, so they cross the TerraformPool process boundary unchanged.",
"is_bot": false,
"headline": "feat: structured plan/apply results from -json output",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T06:54:44Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "bc6df66aa46bfcfac80be2e36309001b62ca9173",
"body": "The TerraformPool and AsyncTerraformCommand docstrings used reStructuredText\ncross-reference roles (:meth:`...`, :class:`...`). mkdocstrings renders sphinx\ndocstring sections but not these inline roles, so they leaked into the rendered\nAPI pages as raw \":meth:\" / \":class:\" text. Replace them with plain Markdown\ncode spans, which render cleanly and also read better in help().",
"is_bot": false,
"headline": "docs: use Markdown code spans in pool/async docstrings",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T06:31:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "59e06e776969da47d1f3e467a81ada9e917f986e",
"body": "The zh page listed the interfaces twice: a hand-written interface section plus\nthe mkdocstrings block, so every method appeared twice in the table of contents.\n\nRender each interface once with a per-method mkdocstrings directive and attach\nits Chinese description right after it (the same pattern the zh TerraformCommand\npage uses). Mirror the exact directive sequence on the English page so both pages\nshare one structure, and assert that parity in the docs test.",
"is_bot": false,
"headline": "docs: render TerraformPool interfaces inline, align en/zh structure",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T06:23:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2bb7e3564f4e6fd314ca0e527651ecdef29b68db",
"body": "…pointer\n\n- Give the async section the same H3 structure as the sync section in Parallel\n Execution (responsiveness / pool parallelism / cancellation), so the table of\n contents is symmetric in both languages.\n- make doc-serve now prints a clickable http://localhost:<port>/ link (and a zh\n link) \n[…]\nthe server to 127.0.0.1 so its own banner is clickable too.\n- Quick Start's parallelism note is now a standalone pointer to the Parallel\n Execution chapter (TerraformPool and the async pool backend).",
"is_bot": false,
"headline": "docs: symmetric async headings, clickable doc-serve link, quickstart …",
"author_name": "Prodesire",
"author_login": "Prodesire",
"committed_at": "2026-06-22T06:09:14Z",
"body_truncated": true,
"is_coding_agent": false
},
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"headline": "Fix linux wheel tag for PyPI compatibility",
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"headline": "Merge pull request #9 from haodeon/feat/0.8.0",
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"key": "ci_tests",
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"detail": "1 out of 1 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 0/29 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 5 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"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 2 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": "2 existing vulnerabilities detected",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 42 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.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories",
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 42
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 3,
"affected_packages": 2,
"assessed_packages": 42,
"unassessed_packages": 0,
"affected_by_severity": "moderate 2",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 42,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"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": 3
},
"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": 45,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 33,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.611,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"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": "58 of 95 human commits state their intent (structured subject or explanatory body)",
"points": 32.6,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 58,
"sampled": 95
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 95",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 95
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"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": 54,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 102973,
"source_files_sampled": 60,
"oversized_source_files": 1
},
"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": "1/60 source files over 60KB",
"points": 54.1,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 60,
"oversized": 1
}
}
],
"max_points": 55
}
]
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-26T18:25:24.830449Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/Prodesire/py-libterraform.svg",
"full_name": "Prodesire/py-libterraform",
"license_state": "standard",
"license_spdx": "MIT"
}
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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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
