Public recordModerate
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-30 22:20 UTC
aliyun / credentials-python
Alibaba Cloud Credentials for Python
aliyun/credentials-python holds a health index of 66 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (80/100) and lowest on AI Readiness (33/100). It was last updated 14 days ago. 2 contributors account for most of its recent work.
66
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.
66
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
Alibaba CloudOrganization
1,922 followers689 public repossince Jul 2011
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | alibabacloud_credentials | 1.0.10 | 7,866,117 | 38 | 14 days ago | alibabacloudsdktea |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
67
Development activity
50Moderate
How it's scored
| 28.8/36 | Push recency — last push 14 days ago |
| 6.2/36 | Commit cadence — 9/52 weeks with commits |
| 12.1/18 | Commit volume — 21 commits in the last year |
| 3/10 | OpenSSF Scorecard: Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3 |
Inputs used
| commits_last_year | 21 |
| human_commit_share | 1 |
| days_since_last_push | 14 |
| active_weeks_last_year | 9 |
Release discipline
92Excellent
How it's scored
| 27/27 | Ships releases — 10 releases published |
| 36/36 | Release recency — latest release 49 days ago |
| 19.8/27 | Release cadence — a release every ~53 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 10 |
| latest_release_tag | v1.0.9 |
| releases_from_tags | no |
| days_since_latest_release | 49 |
| mean_days_between_releases | 53 |
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?
44
Popularity & adoption
25Critical
How it's scored
| 14.6/60 | Stars — 9 stars |
| 8.7/25 | Forks — 12 forks |
| 1.7/15 | Watchers — 3 watchers |
Inputs used
| forks | 12 |
| stars | 9 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
25Critical
How it's scored
| 22.5/22.5 | README |
| 0/22.5 | License — no license file detected |
| 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 | no |
| 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 — 7,866,117 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | alibabacloud_credentials |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 7,866,117 |
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?
80
Maintainer resilience (bus factor)
60Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 11.6/22.5 | Commit distribution — top contributor authored 49% of commits |
| 13.5/13.5 | Contributor breadth — 10 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 10 |
| top_contributor_share | 0.486 |
Issue & PR responsiveness
89Excellent
How it's scored
| 44.1/46.8 | Issue resolution — 94% of issues closed |
| 37.6/38.3 | PR acceptance — 62/63 decided PRs merged |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 15/28 approved changesets -- score normalized to 5 |
Inputs used
| merged_prs | 62 |
| open_issues | 1 |
| closed_issues | 17 |
| issue_closed_ratio | 0.944 |
| closed_unmerged_prs | 1 |
Ownership & stewardship
79Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 23.6/25 | Owner reach — 1,922 followers of aliyun |
| 25/25 | Track record — 689 public repos, account ~15 yr old |
Inputs used
| followers | 1,922 |
| owner_type | Organization |
| is_verified | — |
| owner_login | aliyun |
| public_repos | 689 |
| account_age_days | 5,482 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 14 days ago |
| 20/20 | Version history — 38 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | alibabacloud_credentials |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 14 |
Engineering Quality
Are baseline engineering and documentation practices in place?
63
Engineering practices
72Good
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — .pylintrc |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 8/20 | OpenSSF Scorecard: CI-Tests — 7 out of 15 merged PRs checked by a CI test -- score normalized to 4 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| 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?
69
Security posture
61Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 1/2.5 | CI-Tests — 7 out of 15 merged PRs checked by a CI test -- score normalized to 4 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 15/28 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 0/2.5 | License — license file not detected |
| 2.2/7.5 | Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 2.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 5 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 6.1 |
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 5 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:alibabacloud_credentials@1.0.10 runtime dependency closure — what installing the published package pulls in — 5 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.
33
Agent context & guidance
17Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 17.1/40 | Legible commit history — 32 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.32 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .pylintrc |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
54Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54/55 | Manageable file sizes — 1/54 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 96,761 |
| source_files_sampled | 54 |
| oversized_source_files | 1 |
Key facts
9GitHub stars
10contributors
21commits, last 12 months
14days since last push
10releases
2bus factor
1open 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 ★ / 12 ⇿
0Stars
12Forks
6Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 0Minor 0Patch 3
Each point covers 4 days.
OpenSSF Scorecard 6.1 / 10
6.1aggregate
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 |
| 4 | CI-Tests | 7 out of 15 merged PRs checked by a CI test -- score normalized to 4 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 15/28 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 3 contributing companies or organizations -- score normalized to 10 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 0 | License | license file not detected |
| 3 | Maintained | 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 5 | SAST | SAST tool is not run on all commits -- score normalized to 5 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 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 0
Installing pypi:alibabacloud_credentials@1.0.10 pulls in 5 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
{
"data": {
"repo": {
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"is_fork": false,
"size_kb": 241,
"has_wiki": true,
"homepage": null,
"languages": {
"Python": 664292
},
"pushed_at": "2026-07-16T01:55:10Z",
"created_at": "2020-05-26T10:38:09Z",
"owner_type": "Organization",
"updated_at": "2026-07-16T01:55:14Z",
"description": "Alibaba Cloud Credentials for Python",
"is_archived": false,
"is_disabled": false,
"license_spdx": null,
"default_branch": "master",
"license_spdx_raw": null,
"primary_language": "Python",
"significant_languages": [
"Python"
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},
"owner": {
"blog": "www.alibabacloud.com",
"name": "Alibaba Cloud",
"type": "Organization",
"login": "aliyun",
"company": null,
"location": "Hangzhou.China",
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"avatar_url": "https://avatars.githubusercontent.com/u/941070?v=4",
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"public_repos": 689,
"account_age_days": 5482
},
"license": {
"state": "absent",
"spdx_id": null,
"raw_spdx": null,
"file_present": false,
"scorecard_found": false,
"profile_has_license": false
},
"activity": {
"releases": [
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"tag": "v1.0.9",
"kind": "patch",
"published_at": "2026-06-11T01:54:10Z"
},
{
"tag": "v1.0.8",
"kind": "patch",
"published_at": "2026-03-11T09:13:24Z"
},
{
"tag": "v1.0.7",
"kind": "patch",
"published_at": "2026-01-27T05:57:01Z"
},
{
"tag": "v1.0.6",
"kind": "patch",
"published_at": "2026-01-26T10:56:44Z"
},
{
"tag": "v1.0.4",
"kind": "patch",
"published_at": "2025-12-05T01:54:34Z"
},
{
"tag": "v1.0.2",
"kind": "patch",
"published_at": "2025-10-09T09:26:39Z"
},
{
"tag": "v1.0rc3",
"kind": "other",
"published_at": "2025-02-28T02:40:06Z"
},
{
"tag": "v1.0rc2",
"kind": "other",
"published_at": "2025-02-28T02:39:45Z"
},
{
"tag": "v1.0rc1",
"kind": "other",
"published_at": "2025-02-19T11:41:20Z"
},
{
"tag": "v0.3.6",
"kind": "patch",
"published_at": "2025-02-19T08:04:48Z"
}
],
"recent_commits": [
{
"oid": "83098a68274e90743d446e9b76a97e0cab921a4e",
"body": "* fix: use os.replace for Windows OAuth config.json overwrite\n\nWindows rename fails with WinError 183 when config.json already exists.\nUse os.replace for atomic overwrite, in-place write under file lock on\nWindows, and normalize default path via os.path.join.\n\n* test: raise coverage to 90% and soft-skip broken OIDC integration\n\n* test: fix Windows path assertions after os.path.join normalization",
"is_bot": false,
"headline": "fix: Windows OAuth config.json overwrite (WinError 183) (#85)",
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},
{
"oid": "afb97591bc5975cb5b24ed28725e1baabce3a9b9",
"body": null,
"is_bot": false,
"headline": "Bump 1.0.9",
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"committed_at": "2026-06-09T12:22:56Z",
"body_truncated": false,
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},
{
"oid": "03fe7ed6e50f20ebb94c05def1d4193096ef208d",
"body": "* fix: replace signal handler with atexit to prevent process exit blockage\n\nRemove signal.signal(SIGINT/SIGTERM) from library code which was\nhijacking user's signal handlers and preventing normal process exit.\nUse atexit.register(scheduler.shutdown) instead, which fires on normal\ntermination and doe\n[…]\negistration test for ecs_ram_role provider\n\nVerify that scheduler shutdown is registered via atexit when\nasync_update_enabled is True.\n\n---------\n\nCo-authored-by: weeping <xwp01146046@alibaba-inc.com>",
"is_bot": false,
"headline": "fix signal handler. (#82)",
"author_name": "WenPing",
"author_login": "TsinghuaDream",
"committed_at": "2026-06-09T12:05:57Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "f0c410cec4facf16498c625eba695705b2264c2d",
"body": "* feat: support external mode\n\n* fix",
"is_bot": false,
"headline": "feat: support external mode (#83)",
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"author_login": "yndu13",
"committed_at": "2026-06-09T11:58:21Z",
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},
{
"oid": "0bfdeb47b1a861e3cc25134eee76a444d58aece2",
"body": null,
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"headline": "Bump 1.0.8",
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"body_truncated": false,
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{
"oid": "fc8a840b2dbf1ec9faa015917f9882bdc8933654",
"body": null,
"is_bot": false,
"headline": "feat: support oauth credential without refresh token (#81)",
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"author_login": "yndu13",
"committed_at": "2026-03-11T09:08:37Z",
"body_truncated": false,
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},
{
"oid": "514f15cd392ed5185b513ec960cd41c8dc5e8b7c",
"body": null,
"is_bot": false,
"headline": "Bump 1.0.7",
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"author_login": "yndu13",
"committed_at": "2026-01-27T05:55:58Z",
"body_truncated": false,
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},
{
"oid": "72141512a4d9f2fae3d764a096213456c9ac4db5",
"body": "…re (#79)",
"is_bot": false,
"headline": "fix: increase OAuth token refresh lead time to prevent exchange failu…",
"author_name": "yndu13",
"author_login": "yndu13",
"committed_at": "2026-01-27T05:52:31Z",
"body_truncated": false,
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},
{
"oid": "c4c64d6fb95e9530f9d4c951bbe5a89c53fb344b",
"body": "* fix: rm :=, support py3.7\n\n* Bump 1.0.6\n\n---------\n\nCo-authored-by: weeping <xwp01146046@alibaba-inc.com>",
"is_bot": false,
"headline": "fix: rm :=, support py3.7 (#78)",
"author_name": "WenPing",
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"body_truncated": false,
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},
{
"oid": "b31251aa5a3b69720a3b0585c9752c103665873f",
"body": null,
"is_bot": false,
"headline": "Bump 1.0.5",
"author_name": "yndu13",
"author_login": "yndu13",
"committed_at": "2026-01-23T10:28:37Z",
"body_truncated": false,
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},
{
"oid": "594d0a328ec16f47e3be5444b58492547394aade",
"body": null,
"is_bot": false,
"headline": "fix: update OAuth token when has source profile (#76)",
"author_name": "yndu13",
"author_login": "yndu13",
"committed_at": "2026-01-23T10:27:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cf2bd22338f34e87f4449c4e29995df00195d0c7",
"body": "…ot saved to correct profile #75",
"is_bot": false,
"headline": "When using ChainableRamRoleArn profile and Oauth updated tokens are n…",
"author_name": "Jérémie Foucault",
"author_login": "frco9",
"committed_at": "2026-01-23T10:01:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6f61eb5610146a7306c540d5566864e75ddb8a11",
"body": null,
"is_bot": false,
"headline": "Bump 1.0.4",
"author_name": "yndu13",
"author_login": "yndu13",
"committed_at": "2025-12-05T01:53:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cdb64a1d27fbbb04ff39a231b822aedce9389cd4",
"body": null,
"is_bot": false,
"headline": "update package name",
"author_name": "yndu13",
"author_login": "yndu13",
"committed_at": "2025-12-02T09:40:31Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5a126928458a396520e9a124e57fc85e45f16aa6",
"body": null,
"is_bot": false,
"headline": "Bump 1.0.4rc1",
"author_name": "yndu13",
"author_login": "yndu13",
"committed_at": "2025-12-02T09:33:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "36476f689f0de667bba6f7d4d60b59bcc874a28c",
"body": "Using the signals module the library tries to gracefully\nshutdown the ThreadPoolExecutor with a callback. For us\nthis causes some issues with the logger module warning\nthat you're writing to write to a log file after\nthe file is closed. With these signal callbacks\nyou can't control the shutdown order.",
"is_bot": false,
"headline": "remove debug log statement in EXECUTOR shutdown callback",
"author_name": "psnelgrove-r7",
"author_login": "psnelgrove-r7",
"committed_at": "2025-11-29T09:09:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7a3b43c00073466c52693a84e66a90f2fe8c178f",
"body": "feat: support CloudSSO & OAuth credentials provider",
"is_bot": false,
"headline": "Merge pull request #70 from aliyun/feature/sso-oauth",
"author_name": "Mingming Zhu",
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"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "GitHub workflow tokens follow principle of least privilege",
"points": 7.5,
"status": "met",
"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": "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:alibabacloud_credentials@1.0.10 runtime dependency closure — what installing the published package pulls in — 5 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:alibabacloud_credentials@1.0.10",
"assessed": 5
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 5,
"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": 5,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 6
},
"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": 33,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 17,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.32,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "32 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 17.1,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 32,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 38,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".pylintrc",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 96761,
"source_files_sampled": 54,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/54 source files over 60KB",
"points": 54,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 54,
"oversized": 1
}
}
],
"max_points": 55
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-30T22:20:22.562162Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/aliyun/credentials-python.svg",
"full_name": "aliyun/credentials-python",
"license_state": "absent",
"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 statistics — PyPI.