Public record
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-18 06:11 UTC

QCHackers / tqec

Design automation software tools for Topological Quantum Error Correction

PythonApache-2.0★ 376 stars⑂ 119 forkssince Oct 2023View on GitHub ↗

QCHackers/tqec holds a health index of 79 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (54/100). It was last updated today. 3 contributors account for most of its recent work.

79
overall / 100
Good

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.

79
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)
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.

Ownership

TQECOrganization
90 followers10 public repossince Nov 2024

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItqecpoints to another repo — not scored0.2.04,2283114 days agotopological-quantum-error-correctionqec

Metrics by category

Vitality

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

89Excellent · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 221 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year221
human_commit_share
days_since_last_push0
active_weeks_last_year49
How it's scored
27/27Ships releases — 2 releases published
27/36Release recency — latest release 114 days ago
12.6/27Release cadence — a release every ~133.1 days
8/10OpenSSF Scorecard: Signed-Releases — 2 out of the last 2 releases have a total of 2 signed artifacts.
Inputs used
releases_count2
latest_release_tagv0.2.0
releases_from_tagsno
days_since_latest_release114
mean_days_between_releases133.1

Community & Adoption

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

71Good · 18% of overall
How it's scored
41.8/60Stars — 376 stars
17.3/25Forks — 119 forks
6.2/15Watchers — 14 watchers
Inputs used
forks119
stars376
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductno
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

73Good · 24% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.2/22.5Commit distribution — top contributor authored 28% of commits
13.5/13.5Contributor breadth — 32 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled32
top_contributor_share0.28
How it's scored
39.6/46.8Issue resolution — 85% of issues closed
32.9/38.3PR acceptance — 494/575 decided PRs merged
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs494
open_issues61
closed_issues338
issue_closed_ratio0.847
closed_unmerged_prs81
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.1/25Owner reach — 90 followers of tqec
11/25Track record — 10 public repos, account ~1 yr old
Inputs used
followers90
owner_typeOrganization
is_verified
owner_logintqec
public_repos10
account_age_days616

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 20% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://tqec.github.io/tqec/
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicsquantum-error-correction, surface-code, quantum-computing
has_wikino
homepagehttps://tqec.github.io/tqec/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 9 contributing companies or organizations
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 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 2 out of the last 2 releases have a total of 2 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): branch_protection, packaging. 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.

54Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/tqec/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/tqec/py.typed
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.
How it's scored
27/45Type-checkable code — Python with type-check config (src/tqec/py.typed)
54.6/55Manageable file sizes — 2/276 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes104,008
source_files_sampled276
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_files

Key facts

376GitHub stars
32contributors
221commits, last 12 months
0days since last push
2releases
3bus factor
61open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'tqec' points at a different repository (https://github.com/tqec/tqec); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-07-18 06:11 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
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PyPItqecd>=0.2.1pyproject.toml
PyPItyping-extensions>=4.2pyproject.toml
PyPItyping-extensions>=4.12pyproject.toml
All dependencies 203

Full resolved dependency set from the GitHub dependency graph: 22 direct and 181 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Raw JSON report machine-readable
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          },
          {
            "key": "abandonment",
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                "max_points": 15
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                "key": "license",
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                  {
                    "code": "license_standard",
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                  {
                    "code": "license_spdx",
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                "key": "contributing_guide",
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                "key": "issue_template",
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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        "weight": 0.24,
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            "key": "maintainer_resilience",
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            "note": null,
            "notes": [],
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              "bus_factor": 3,
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              "top_contributor_share": 0.28
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                "key": "bus_factor",
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                "detail": "3 contributor(s) cover half of all commits",
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              {
                "key": "commit_distribution",
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                    "code": "top_contributor_share",
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                "max_points": 22.5
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                "key": "contributor_breadth",
                "name": "Contributor breadth",
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                    "code": "contributors_sampled",
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 10,
                "status": "met",
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                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "excellent",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
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              "merged_prs": 494,
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              "issue_closed_ratio": 0.847,
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                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "85% of issues closed",
                "points": 39.6,
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                    "code": "issues_closed_share",
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                      "share": 85
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                  }
                ],
                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "494/575 decided PRs merged",
                "points": 32.9,
                "status": "partial",
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                  {
                    "code": "decided_prs_merged",
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                      "merged": 494,
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
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                "points": 15,
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                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "followers": 90,
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              "is_verified": null,
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              "account_age_days": 616
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            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
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                "details": [
                  {
                    "code": "owner_organization",
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                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "90 followers of tqec",
                "points": 14.1,
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                "details": [
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                    "code": "owner_followers",
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                      "count": 90,
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "10 public repos, account ~1 yr old",
                "points": 11,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 10
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                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 1
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                ],
                "max_points": 25
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 92,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
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            "name": "Engineering practices",
            "note": null,
            "notes": [],
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            "inputs": {
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              "has_editorconfig": false,
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "6 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
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                    "code": "ci_workflows",
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                      "count": 6
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
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                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
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                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
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                "max_points": 9.6
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              {
                "key": "editorconfig",
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              },
              {
                "key": "openssf_scorecard_ci_tests",
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                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
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            "components": [
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                "key": "readme",
                "name": "README",
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              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
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                "points": 25,
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              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
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                "details": [],
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              },
              {
                "key": "repository_description",
                "name": "Repository description",
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                "points": 10,
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              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "3 topics",
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                "details": [
                  {
                    "code": "topics_count",
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                "max_points": 10
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
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                "code": "excluded_no_data",
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                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 66,
            "inputs": {
              "source": "openssf_scorecard",
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            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
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                "points": 7.5,
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              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
                "status": "excluded",
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                "max_points": 7.5
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              {
                "key": "ci_tests",
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              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "code_review",
                "name": "Code-Review",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 2.5,
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                "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": "update tool detected",
                "points": 7.5,
                "status": "met",
                "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",
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                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
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                "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": "2 out of the last 2 releases have a total of 2 signed artifacts.",
                "points": 6,
                "status": "partial",
                "details": [],
                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "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,
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              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "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": "moderate",
        "name": "AI Readiness",
        "value": 54,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "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"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "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": {}
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
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                "points": 0,
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              },
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                    "params": {}
                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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              "has_linter_config": true,
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              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
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                "status": "met",
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              },
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              },
              {
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              },
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                ],
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              },
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                "key": "automated_maintenance",
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                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "status": "missed",
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              }
            ]
          },
          {
            "key": "ai_code_legibility",
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            "notes": [],
            "value": 82,
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              "source_files_sampled": 276,
              "oversized_source_files": 2
            },
            "components": [
              {
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                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/tqec/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
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                    }
                  }
                ],
                "max_points": 45
              },
              {
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                "status": "partial",
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                ],
                "max_points": 55
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            ]
          },
          {
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              ],
              "has_mcp_signal": false,
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            },
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              },
              {
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                "status": "missed",
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              },
              {
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                "status": "met",
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                ],
                "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": [
    "pypi package 'tqec' points at a different repository (https://github.com/tqec/tqec); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-18T06:11:36.492254Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/q/QCHackers/tqec.svg",
  "full_name": "QCHackers/tqec",
  "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 v1.13.0, schema v0.12.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.