Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-25 06:07 UTC

ASPP / pelita

Actor-based Toolkit for Interactive Language Education in Python

PythonCustom license★ 69 stars⑂ 70 forkssince May 2011View on GitHub ↗

ASPP/pelita 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 (32/100). It was last updated 15 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)
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

45 followers76 public repossince Apr 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpelita2.6.0-23303 days agoeducation

Metrics by category

Vitality

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

71Good · 22% of overall
How it's scored
28.8/36Push recency — last push 15 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 157 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year157
human_commit_share1
days_since_last_push15
active_weeks_last_year22
How it's scored
27/27Ships releases — 18 releases published
16.2/36Release recency — latest release 303 days ago
19.8/27Release cadence — a release every ~54.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv2.6.0
releases_from_tagsno
days_since_latest_release303
mean_days_between_releases54.4
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?

46At risk · 18% of overall
How it's scored
29.7/60Stars — 69 stars
15.3/25Forks — 70 forks
3.3/15Watchers — 5 watchers
Inputs used
forks70
stars69
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

68Moderate · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.8/22.5Commit distribution — top contributor authored 61% of commits
13.5/13.5Contributor breadth — 23 contributors
10/10OpenSSF Scorecard: Contributors — project has 26 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled23
top_contributor_share0.608
How it's scored
41.6/46.8Issue resolution — 89% of issues closed
34.1/38.3PR acceptance — 451/506 decided PRs merged
9/15OpenSSF Scorecard: Code-Review — Found 3/5 approved changesets -- score normalized to 6
Inputs used
merged_prs451
open_issues50
closed_issues402
issue_closed_ratio0.889
closed_unmerged_prs55
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
12/25Owner reach — 45 followers of ASPP
25/25Track record — 76 public repos, account ~14 yr old
Inputs used
followers45
owner_typeOrganization
is_verified
owner_loginASPP
public_repos76
account_age_days5,205
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 303 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespelita
ecosystemspypi
any_deprecatedno
min_days_since_publish303

Engineering Quality

Are baseline engineering and documentation practices in place?

81Good · 20% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/ASPP/pelita_template
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicspython, educational-game, hacktoberfest
has_wikiyes
homepagehttps://github.com/ASPP/pelita_template
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 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 — 5 out of 5 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
4.5/7.5Code-Review — Found 3/5 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 26 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 8 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
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages15
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pelita@2.6.0 runtime dependency closure — what installing the published package pulls in — 15 packages. Reachability is not analyzed.

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.

32At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
10.7/40Legible commit history — 20 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.2
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/73 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes52,309
source_files_sampled73
oversized_source_files0

Key facts

69GitHub stars
23contributors
157commits, last 12 months
15days since last push
18releases
1bus factor
50open 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 ★ / 70 ⇿
0Stars
70Forks
15Releases

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.

01325385063756992011-082018-092025-09
Major 0Minor 5Patch 5

Each point covers 13 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-07-25 06:07 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-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 3/5 approved changesets -- score normalized to 6
10Contributorsproject has 26 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 8 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIpyzmqpyproject.toml
PyPIPyYAMLpyproject.toml
PyPInumpypyproject.toml
PyPInetworkxpyproject.toml
PyPIpytest>=4pyproject.toml
PyPIzeroconfpyproject.toml
PyPIrichpyproject.toml
PyPIclickpyproject.toml
All dependencies 8

Full resolved dependency set from the GitHub dependency graph: 8 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclickdirect
PyPInetworkxdirect
PyPInumpydirect
PyPIpytestdirect
PyPIpyyamldirect
PyPIpyzmqdirect
PyPIrichdirect
PyPIzeroconfdirect
Dependency advisories 0

Installing pypi:pelita@2.6.0 pulls in 15 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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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                "key": "openssf_scorecard_contributors",
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                "max_points": 10
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          },
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            "key": "responsiveness",
            "band": "excellent",
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            "inputs": {
              "merged_prs": 451,
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              "closed_unmerged_prs": 55
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                "key": "issue_resolution",
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                    "code": "issues_closed_share",
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                      "share": 89
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                  }
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                    "code": "decided_prs_merged",
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                ],
                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 3/5 approved changesets -- score normalized to 6",
                "points": 9,
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                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
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            "notes": [],
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            "inputs": {
              "followers": 45,
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              "is_verified": null,
              "owner_login": "ASPP",
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            "components": [
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                "key": "ownership_backing",
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                "points": 30,
                "status": "met",
                "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": "45 followers of ASPP",
                "points": 12,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
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                      "count": 45,
                      "login": "ASPP"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "76 public repos, account ~14 yr old",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "public_repos",
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                      "count": 76
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                  {
                    "code": "account_age_years",
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                      "years": 14
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 91,
            "inputs": {
              "packages": [
                "pelita"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 303
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
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                    "code": "packages_published",
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                ],
                "max_points": 25
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              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 303 days ago",
                "points": 26,
                "status": "partial",
                "details": [
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                    "code": "publish_recency",
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                ],
                "max_points": 35
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              {
                "key": "version_history",
                "name": "Version history",
                "detail": "23 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
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                      "count": 23
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
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                    "code": "package_not_deprecated",
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                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
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        "name": "Engineering Quality",
        "value": 81,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
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              "has_ci": true,
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                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "3 workflow(s)",
                "points": 24,
                "status": "met",
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                    "code": "ci_workflows",
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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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              },
              {
                "key": "linter_config",
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                "points": 0,
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              {
                "key": "pre_commit_hooks",
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                "points": 0,
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                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
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            ]
          },
          {
            "key": "documentation",
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            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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              "has_wiki": true,
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              "has_docs_dir": true,
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            "components": [
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                "key": "readme",
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                "key": "documentation_directory",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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        "weight": 0.16,
        "metrics": [
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            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
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                    "signed_releases"
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 52,
            "inputs": {
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            "components": [
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                "key": "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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                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
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                "points": 0,
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              },
              {
                "key": "code_review",
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                "status": "partial",
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              },
              {
                "key": "contributors",
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              },
              {
                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              },
              {
                "key": "license",
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                "status": "partial",
                "details": [],
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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              {
                "key": "packaging",
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                "status": "excluded",
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                ],
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                "key": "pinned_dependencies",
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              },
              {
                "key": "sast",
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                "status": "missed",
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              },
              {
                "key": "security_policy",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "details": [
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                ],
                "max_points": 7.5
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              {
                "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",
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                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pelita@2.6.0 runtime dependency closure — what installing the published package pulls in — 15 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:pelita@2.6.0",
                  "assessed": 15
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              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
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              "affected_packages": 0,
              "assessed_packages": 15,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "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": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "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": 15,
              "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"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 16
            },
            "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": 32,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 11,
            "inputs": {
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              "legible_history_share": 0.2,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
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                ],
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              },
              {
                "key": "machine_readable_docs_llms_txt",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
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                "points": 10.7,
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                "details": [
                  {
                    "code": "legible_history",
                    "params": {
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                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
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            "notes": [],
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            "inputs": {
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              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
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                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                      "files": "doc/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
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                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "static_type_checking",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
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                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
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                  }
                ],
                "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,
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              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 52309,
              "source_files_sampled": 73,
              "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": "0/73 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 73,
                      "oversized": 0
                    }
                  }
                ],
                "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": "2026-07-25T06:07:56.583321Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/ASPP/pelita.svg",
  "full_name": "ASPP/pelita",
  "license_state": "custom",
  "license_spdx": null
}

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.

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