Public record
Software health reportschema 0.9.0 · metrics 1.13.0 · 2026-07-13 00:53 UTC

Significant-Gravitas / AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Python · TypeScriptCustom license★ 185,497 stars⑂ 46,106 forkssince Mar 2023View on GitHub ↗

Significant-Gravitas/AutoGPT holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (100/100) and lowest on Security (58/100). It was last updated 1 day ago. 5 contributors account for most of its recent work.

86
overall / 100
Excellent

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.

86
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

AutoGPTOrganization
4,455 followers28 public repossince Apr 2023

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

Metrics by category

Vitality

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

100Excellent · 22% of overall
How it's scored
36/36Push recency — last push 1 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,841 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,841
human_commit_share
days_since_last_push1
active_weeks_last_year52

Release discipline

100Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~8.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagautogpt-platform-beta-v0.6.66
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases8.6
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?

93Excellent · 18% of overall
How it's scored
60/60Stars — 185,497 stars
25/25Forks — 46,106 forks
15/15Watchers — 1,547 watchers
Inputs used
forks46,106
stars185,497
watchers1,547
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

86Excellent
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
has_pull_request_templateyes

Sustainability & Governance

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

80Good · 24% of overall
How it's scored
45.9/54Bus factor — 5 contributor(s) cover half of all commits
19.4/22.5Commit distribution — top contributor authored 14% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations
Inputs used
bus_factor5
contributors_sampled100
top_contributor_share0.137
How it's scored
43.3/46.8Issue resolution — 93% of issues closed
21.7/38.3PR acceptance — 4,608/8,126 decided PRs merged
12/15OpenSSF Scorecard: Code-Review — Found 25/30 approved changesets -- score normalized to 8
Inputs used
merged_prs4,608
open_issues285
closed_issues3,606
issue_closed_ratio0.927
closed_unmerged_prs3,518
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 4,455 followers of Significant-Gravitas
17.1/25Track record — 28 public repos, account ~3 yr old
Inputs used
followers4,455
owner_typeOrganization
is_verified
owner_loginSignificant-Gravitas
public_repos28
account_age_days1,185

Engineering Quality

Are baseline engineering and documentation practices in place?

96Excellent · 20% of overall
How it's scored
24/24CI workflows — 33 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.json, .flake8
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

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://agpt.co
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicsagentic-ai, agents, ai, artificial-intelligence, autonomous-agents, claude, gpt, llama-api, llm, openai, python
has_wikiyes
homepagehttps://agpt.co
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
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
6/7.5Code-Review — Found 25/30 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 18 contributing companies or organizations
0/10Dangerous-Workflow — dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 233 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): signed_releases. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

75Good · 0% of overall
How it's scored
45/45Agent instructions — .claude/skills/vercel-react-best-practices/AGENTS.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, autogpt_platform/AGENTS.md, autogpt_platform/CLAUDE.md, autogpt_platform/backend/AGENTS.md, autogpt_platform/backend/CLAUDE.md, autogpt_platform/backend/backend/copilot/bot/AGENTS.md, autogpt_platform/backend/backend/copilot/bot/CLAUDE.md, autogpt_platform/backend/backend/copilot/graphiti/AGENTS.md, autogpt_platform/backend/backend/copilot/graphiti/CLAUDE.md, autogpt_platform/frontend/AGENTS.md, autogpt_platform/frontend/CLAUDE.md, autogpt_platform/frontend/src/tests/AGENTS.md, autogpt_platform/frontend/src/tests/CLAUDE.md, classic/CLAUDE.md, classic/direct_benchmark/CLAUDE.md, classic/forge/CLAUDE.md, classic/original_autogpt/CLAUDE.md, docs/AGENTS.md, docs/CLAUDE.md, docs/content/forge/components/agents.md, docs/platform/gemini.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files.claude/skills/vercel-react-best-practices/AGENTS.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, autogpt_platform/AGENTS.md, autogpt_platform/CLAUDE.md, autogpt_platform/backend/AGENTS.md, autogpt_platform/backend/CLAUDE.md, autogpt_platform/backend/backend/copilot/bot/AGENTS.md, autogpt_platform/backend/backend/copilot/bot/CLAUDE.md, autogpt_platform/backend/backend/copilot/graphiti/AGENTS.md, autogpt_platform/backend/backend/copilot/graphiti/CLAUDE.md, autogpt_platform/frontend/AGENTS.md, autogpt_platform/frontend/CLAUDE.md, autogpt_platform/frontend/src/tests/AGENTS.md, autogpt_platform/frontend/src/tests/CLAUDE.md, classic/CLAUDE.md, classic/direct_benchmark/CLAUDE.md, classic/forge/CLAUDE.md, classic/original_autogpt/CLAUDE.md, docs/AGENTS.md, docs/CLAUDE.md, docs/content/forge/components/agents.md, docs/platform/gemini.md
agent_instruction_max_bytes60,535
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — autogpt_platform/Makefile
22/22Automated tests
11/11Lint / format config — .eslintrc.json, .flake8
11/11Static type checking — autogpt_platform/backend/pyrightconfig.json, autogpt_platform/frontend/tsconfig.json
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespnpm-lock.yaml, poetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesautogpt_platform/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configsautogpt_platform/backend/pyrightconfig.json, autogpt_platform/frontend/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable code — Python with type-check config (autogpt_platform/backend/pyrightconfig.json, autogpt_platform/frontend/tsconfig.json)
54.3/55Manageable file sizes — 42/3,223 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes253,703
source_files_sampled3,223
oversized_source_files42
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — autogpt_platform/frontend/src/app/api/openapi.json
0/20MCP server
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalno
api_schema_filesautogpt_platform/frontend/src/app/api/openapi.json

Key facts

185,497GitHub stars
100contributors
1,841commits, last 12 months
1days since last push
100releases
5bus factor
285open issues
PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'autogpt-classic' from its registry

More detail

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-07-13 00:53 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
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
8Code-ReviewFound 25/30 approved changesets -- score normalized to 8
10Contributorsproject has 18 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities233 existing vulnerabilities detected
Direct dependencies 50
RegistryPackageVersion constraintManifest
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PyPIlitellm>=1.17.9,<1.82.7classic/pyproject.toml
PyPIopenai^1.50.0classic/pyproject.toml
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PyPIcharset-normalizer^3.1.0classic/pyproject.toml
PyPIdemjson3^3.0.0classic/pyproject.toml
PyPIjsonschema*classic/pyproject.toml
PyPIorjson^3.8.10classic/pyproject.toml
PyPIpydantic^2.7.2classic/pyproject.toml
PyPIpyyaml^6.0classic/pyproject.toml
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Raw JSON report machine-readable
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              {
                "key": "license",
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        "key": "governance",
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        "name": "Sustainability & Governance",
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "key": "openssf_scorecard_contributors",
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          {
            "key": "responsiveness",
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              "merged_prs": 4608,
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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          {
            "key": "stewardship",
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            "notes": [],
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            "inputs": {
              "followers": 4455,
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                "key": "ownership_backing",
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                "max_points": 30
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                "key": "verified_domain",
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              {
                "key": "owner_reach",
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                "max_points": 25
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                "key": "track_record",
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        ],
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      {
        "key": "engineering",
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        "weight": 0.2,
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                "key": "ci_workflows",
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                "detail": "33 workflow(s)",
                "points": 24,
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                  {
                    "code": "ci_workflows",
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                      "count": 33
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                "max_points": 24
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                "key": "tests_present",
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                "points": 24,
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              {
                "key": "linter_config",
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                "key": "pre_commit_hooks",
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              {
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                "key": "openssf_scorecard_ci_tests",
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            ]
          },
          {
            "key": "documentation",
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            "notes": [],
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            "components": [
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              {
                "key": "documentation_directory",
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                "points": 25,
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              {
                "key": "documentation_homepage_site",
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              {
                "key": "repository_description",
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              {
                "key": "topics",
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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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            "value": 58,
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                "key": "branch_protection",
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                "key": "cii_best_practices",
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                "key": "code_review",
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                "key": "contributors",
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                "detail": "project has 18 contributing companies or organizations",
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              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 0,
                "status": "missed",
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              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
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                "status": "missed",
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              {
                "key": "license",
                "name": "License",
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                "points": 2.2,
                "status": "partial",
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              {
                "key": "maintained",
                "name": "Maintained",
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                "status": "met",
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              {
                "key": "packaging",
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                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
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              {
                "key": "sast",
                "name": "SAST",
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              {
                "key": "security_policy",
                "name": "Security-Policy",
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              {
                "key": "signed_releases",
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                "points": 0,
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                "details": [
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                ],
                "max_points": 7.5
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                "key": "token_permissions",
                "name": "Token-Permissions",
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                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "233 existing vulnerabilities detected",
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                "status": "missed",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
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                "status": "met",
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                "max_points": 100
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
        "value": 75,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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              {
                "code": "weights_renormalized",
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            ],
            "value": 75,
            "inputs": {
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              "agent_instruction_files": [
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              {
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              },
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              }
            ]
          }
        ],
        "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": [
    "Could not fetch pypi package 'autogpt-classic' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-13T00:53:51.414725Z",
  "schema_version": "0.9.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/Significant-Gravitas/AutoGPT.svg",
  "full_name": "Significant-Gravitas/AutoGPT",
  "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 v0.9.0 — full methodology · metrics wiki.

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