Public recordCritical
Software health reportschema 0.25.0 · metrics 1.13.0 · 2026-07-21 21:44 UTC
fxsjy / jieba
结巴中文分词
fxsjy/jieba holds a health index of 27 out of 100, placing it in the Critical band. It scores highest on Community & Adoption (82/100) and lowest on Vitality (18/100). It was last updated 699 days ago. A single contributor accounts for most of its recent work.
27
overall / 100Software 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.
27
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.
Ownership
Andy SunPersonal account
3,141 followers65 public repossince Dec 2009Web3
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | jieba | 0.42.1 | 2,143,686 | 31 | 2374 days ago | nlp |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
18
Development activity
1Critical
Abandonment alert
Work has arrived and nobody has attended to it
no human commit in 2348 daysautomated commits excludedpull requests left unansweredissues left unansweredreleases stalledOpenSSF Scorecard reports it unmaintainedOverall rating: At risk ceiling
Silence alone is never the finding — a small, finished library may need no commits for years. This alert requires both: no human commit for a long time, and obligations the project is visibly not discharging. Automated commits do not count as maintenance.
How abandonment is assessedHow it's scored
| 0/36 | Push recency — last push 699 days ago |
| 0/36 | Commit cadence — 0/52 weeks with commits |
| 0/18 | Commit volume — 0 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Inputs used
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 699 |
| active_weeks_last_year | 0 |
Release discipline
44At risk
How it's scored
| 27/27 | Ships releases — 9 releases published |
| 0/36 | Release recency — latest release 2,374 days ago |
| 12.6/27 | Release cadence — a release every ~295.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 9 |
| latest_release_tag | v0.42.1 |
| releases_from_tags | no |
| days_since_latest_release | 2,374 |
| mean_days_between_releases | 295.8 |
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?
82
Popularity & adoption
100Excellent
How it's scored
| 60/60 | Stars — 35,076 stars |
| 25/25 | Forks — 6,692 forks |
| 15/15 | Watchers — 1,257 watchers |
Inputs used
| forks | 6,692 |
| stars | 35,076 |
| watchers | 1,257 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
100Excellent
How it's scored
| 80/80 | Monthly downloads — 2,143,686 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | jieba |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2,143,686 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
57
Maintainer resilience (bus factor)
39At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 6.2/22.5 | Commit distribution — top contributor authored 72% of commits |
| 13.5/13.5 | Contributor breadth — 37 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 37 |
| top_contributor_share | 0.724 |
Issue & PR responsiveness
52Moderate
How it's scored
| 12.3/46.8 | Issue resolution — 26% of issues closed |
| 31.7/38.3 | PR acceptance — 96/116 decided PRs merged |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 15/29 approved changesets -- score normalized to 5 |
Inputs used
| merged_prs | 96 |
| open_issues | 646 |
| closed_issues | 231 |
| issue_closed_ratio | 0.263 |
| closed_unmerged_prs | 20 |
Ownership & stewardship
75Good
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 25/25 | Owner reach — 3,141 followers of fxsjy |
| 25/25 | Track record — 65 public repos, account ~16 yr old |
Inputs used
| followers | 3,141 |
| owner_type | User |
| is_verified | — |
| owner_login | fxsjy |
| public_repos | 65 |
| account_age_days | 6,062 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
69Moderate
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 4/35 | Publish recency — latest publish 2,374 days ago |
| 20/20 | Version history — 31 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | jieba |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2,374 |
Engineering Quality
Are baseline engineering and documentation practices in place?
34
Engineering practices
24Critical
How it's scored
| 0/24 | CI workflows |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 15 merged PRs checked by a CI test -- score normalized to 0 |
Inputs used
| has_ci | no |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
50Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
38
Security posture
38At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 0/2.5 | CI-Tests — 0 out of 15 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 15/29 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 21 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — no data |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — no data |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — no data |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 12 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 6 |
| scorecard_aggregate | 3.8 |
Excluded from scoring (no data or not applicable): branch_protection, dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. 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.
29
Agent context & guidance
24Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 24.5/40 | Legible commit history — 46 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.46 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
24Critical
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
Code legibility for models
51Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 51.3/55 | Manageable file sizes — 4/60 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 3,987,090 |
| source_files_sampled | 60 |
| oversized_source_files | 4 |
Key facts
35,076GitHub stars
37contributors
0commits, last 12 months
699days since last push
9releases
1bus factor
646open issues
PyPIpackage ecosystems
More detail
Star and fork history 35,076 ★ / 6,692 ⇿
35,076Stars
6,692Forks
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.
Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.
Each point covers 5 days.
OpenSSF Scorecard 3.8 / 10
3.8aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | 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 |
| 0 | CI-Tests | 0 out of 15 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 15/29 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 21 contributing companies or organizations |
| n/a | Dangerous-Workflow | no workflows found |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| n/a | Packaging | packaging workflow not detected |
| n/a | Pinned-Dependencies | no dependencies found |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| n/a | Token-Permissions | No tokens found |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
All dependencies 0
Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies to assess
Raw JSON report machine-readable
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},
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"recent_commits": [
{
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"body": null,
"is_bot": false,
"headline": "Update README.md update paddle link. (#817)",
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"headline": "add jieba upgrade not in README.md and change import imp to import im…",
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{
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{
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"headline": "Update Changelog",
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},
{
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"headline": "update version to 0.40",
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{
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{
"oid": "27910094ac52072877b3dd8091bd3c98193a0a4e",
"body": "* fix bugs in paddle seg and paddle postag\r\n\r\n* fix compat in checking paddle",
"is_bot": false,
"headline": "Fix bugs in Paddle seg and Paddle postag (#789)",
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"components": [
{
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"points": 25,
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}
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"max_points": 25
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{
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"points": 4,
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{
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{
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],
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{
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"note": null,
"notes": [],
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{
"key": "openssf_scorecard_ci_tests",
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{
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],
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},
{
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"weight": 0.16,
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"notes": [
{
"code": "excluded_no_data",
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},
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},
{
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},
{
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},
{
"key": "code_review",
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},
{
"key": "contributors",
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},
{
"key": "dangerous_workflow",
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{
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},
{
"key": "fuzzing",
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"status": "missed",
"details": [],
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},
{
"key": "license",
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},
{
"key": "maintained",
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"points": 0,
"status": "missed",
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},
{
"key": "packaging",
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"code": "no_data",
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},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "excluded",
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"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "sast",
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"points": 0,
"status": "missed",
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},
{
"key": "security_policy",
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"points": 0,
"status": "missed",
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},
{
"key": "signed_releases",
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"code": "no_data",
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{
"key": "token_permissions",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "vulnerabilities",
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"policy_countries": [
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"Iran",
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},
"components": [
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"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"code": "jurisdiction_no_match",
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}
],
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}
]
}
],
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},
{
"key": "ai_readiness",
"band": "critical",
"name": "AI Readiness",
"value": 29,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
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"note": null,
"notes": [],
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"inputs": {
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"agent_instruction_max_bytes": null
},
"components": [
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"points": 0,
"status": "missed",
"details": [
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"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
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},
{
"key": "legible_commit_history",
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]
},
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"key": "ai_verify_loop",
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"code": "excluded_no_data",
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},
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"code": "weights_renormalized",
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}
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"toolchain_manifests": [],
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},
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{
"key": "one_command_bootstrap",
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"points": 0,
"status": "missed",
"details": [],
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},
{
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},
{
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{
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{
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},
{
"key": "demonstrated_agent_practice",
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{
"key": "automated_maintenance",
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{
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]
},
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"notes": [],
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},
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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": [],
"report_type": "repository",
"generated_at": "2026-07-21T21:44:25.649642Z",
"schema_version": "0.25.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/fxsjy/jieba.svg",
"full_name": "fxsjy/jieba",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.25.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.