Public recordModerate
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-26 19:13 UTC
JochenYang / luma-mcp
Multi-Model Visual Understanding MCP Server, GLM-4.6V, DeepSeek-OCR (free), and Qwen3-VL-Flash. Provide visual processing capabilities for AI coding models that do not support image understanding.多模型视觉理解MCP服务器，GLM-4.6V、DeepSeek-OCR（免费）和Qwen3-VL-Flash等。为不支持图片理解的 AI 编码模型提供视觉处理能力。
JochenYang/luma-mcp holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Vitality (81/100) and lowest on Security (42/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.
59
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.
59
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
JochenPersonal account
14 followers29 public repossince Jun 2022MILOYA
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 |
|---|---|---|---|---|---|---|
| npm | luma-mcp | 1.6.0 | 11,258 | 29 | 6 days ago | mcpvisionaiglm-4.6vzhipudeepseek-ocrsiliconflowqwen3-vlaliyundashscopedoubaovolcenginearkocrfreeimage-understandingmulti-model |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
81
Development activity
68Moderate
How it's scored
| 36/36 | Push recency — last push 6 days ago |
| 9.7/36 | Commit cadence — 14/52 weeks with commits |
| 14.9/18 | Commit volume — 45 commits in the last year |
| 7/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
Inputs used
| commits_last_year | 45 |
| human_commit_share | 1 |
| days_since_last_push | 6 |
| active_weeks_last_year | 14 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 22 releases published |
| 36/36 | Release recency — latest release 6 days ago |
| 27/27 | Release cadence — a release every ~19.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 22 |
| latest_release_tag | v1.6.0 |
| releases_from_tags | no |
| days_since_latest_release | 6 |
| mean_days_between_releases | 19.8 |
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?
50
Popularity & adoption
39At risk
How it's scored
| 31/60 | Stars — 83 stars |
| 8.3/25 | Forks — 11 forks |
| 0/15 | Watchers — 0 watchers |
Inputs used
| forks | 11 |
| stars | 83 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
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)
68Moderate
How it's scored
| 54/80 | Monthly downloads — 11,258 downloads/month across npm |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | luma-mcp |
| dependents | — |
| ecosystems | npm |
| total_downloads | — |
| monthly_downloads | 11,258 |
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?
47
Maintainer resilience (bus factor)
13Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0/22.5 | Commit distribution — top contributor authored 100% of commits |
| 1.4/13.5 | Contributor breadth — 1 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Issue & PR responsiveness
47At risk
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 0/38.3 | PR acceptance — 0/1 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 4 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 1 |
Ownership & stewardship
47At risk
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 8.5/25 | Owner reach — 14 followers of JochenYang |
| 18.9/25 | Track record — 29 public repos, account ~4 yr old |
Inputs used
| followers | 14 |
| owner_type | User |
| is_verified | — |
| owner_login | JochenYang |
| public_repos | 29 |
| account_age_days | 1,496 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on npm |
| 35/35 | Publish recency — latest publish 6 days ago |
| 20/20 | Version history — 29 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | luma-mcp |
| ecosystems | npm |
| any_deprecated | no |
| min_days_since_publish | 6 |
Engineering Quality
Are baseline engineering and documentation practices in place?
70
Engineering practices
60Moderate
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
Documentation
85Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 5 topics |
| 10/10 | Wiki |
Inputs used
| topics | image-understanding, mcp, mcp-server, model-context-protocol, vision |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
42
Security posture
36At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — no data |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 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 |
| 5.2/7.5 | Maintained — 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 24 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3.6 |
Excluded from scoring (no data or not applicable): ci_tests, packaging, signed_releases. Remaining weights renormalized.
Dependency advisories
68Moderate
How it's scored
| 14.6/35 | Direct dependencies free of known advisories — 1 affected: sharp 0.33.5 (high 7.3) |
| 13.2/25 | Indirect dependencies free of known advisories — 1 affected: @hono/node-server 1.19.15 (moderate 5.9) |
| 40/40 | No advisories left outstanding — no advisory has been public longer than 90 days |
Inputs used
| source | osv |
| advisories | 2 |
| affected_packages | 2 |
| assessed_packages | 138 |
| unassessed_packages | 0 |
| affected_by_severity | high 1, moderate 1 |
| direct_affected_packages | 1 |
Matched the npm:luma-mcp@1.6.0 runtime dependency closure — what installing the published package pulls in — 138 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.
47
Agent context & guidance
40At risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 44 of 45 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.978 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — tsconfig.json |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 45 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 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 | package-lock.json |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | tsconfig.json |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
100Excellent
How it's scored
| 45/45 | Type-checkable code — TypeScript (statically typed) |
| 55/55 | Manageable file sizes — 0/23 source files over 60KB |
Inputs used
| primary_language | TypeScript |
| largest_source_bytes | 25,263 |
| source_files_sampled | 23 |
| oversized_source_files | 0 |
Machine-readable interfaces
20Critical
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP server |
| 0/40 | Runnable examples |
Inputs used
| example_dirs | — |
| has_mcp_signal | yes |
| api_schema_files | — |
Key facts
83GitHub stars
1contributors
45commits, last 12 months
6days since last push
22releases
1bus factor
0open issues
npmpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
More detail
Star and fork history 0 ★ / 11 ⇿
0Stars
11Forks
17Releases
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 3Patch 14
OpenSSF Scorecard 3.6 / 10
3.6aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/a | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 7 | Maintained | 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 24 existing vulnerabilities detected |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| npm | @modelcontextprotocol/sdk | ^1.25.4 | package.json |
| npm | axios | ^1.15.1 | package.json |
| npm | sharp | ^0.33.5 | package.json |
| npm | zod | ^3.25.76 | package.json |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Dependency advisories 2
Installing npm:luma-mcp@1.6.0 pulls in 138 packages, direct and transitive: 2 carry known advisories, of which 1 are direct dependencies.
| Package | Version | Relation | Severity | Advisories | Fixed in |
|---|---|---|---|---|---|
| sharp | 0.33.5 | direct | high | 1 | 0.35.0 |
| @hono/node-server | 1.19.15 | indirect | moderate | 1 | 2.0.5 |
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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"mcp-server",
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"vision"
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"owner_type": "User",
"updated_at": "2026-07-22T02:52:41Z",
"description": "Multi-Model Visual Understanding MCP Server, GLM-4.6V, DeepSeek-OCR (free), and Qwen3-VL-Flash. Provide visual processing capabilities for AI coding models that do not support image understanding.多模型视觉理解MCP服务器，GLM-4.6V、DeepSeek-OCR（免费）和Qwen3-VL-Flash等。为不支持图片理解的 AI 编码模型提供视觉处理能力。",
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"license": {
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"scorecard_found": true,
"profile_has_license": true
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"activity": {
"releases": [
{
"tag": "v1.6.0",
"kind": "minor",
"published_at": "2026-07-20T12:25:09Z"
},
{
"tag": "v1.5.0",
"kind": "minor",
"published_at": "2026-06-13T00:56:37Z"
},
{
"tag": "v1.4.1",
"kind": "patch",
"published_at": "2026-06-13T00:51:14Z"
},
{
"tag": "v1.4.0",
"kind": "minor",
"published_at": "2026-05-24T04:41:10Z"
},
{
"tag": "v1.3.8",
"kind": "patch",
"published_at": "2026-05-02T01:31:50Z"
},
{
"tag": "v1.3.7",
"kind": "patch",
"published_at": "2026-04-28T15:48:45Z"
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{
"tag": "v1.3.6",
"kind": "patch",
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},
{
"tag": "v1.3.5",
"kind": "patch",
"published_at": "2026-02-14T04:42:14Z"
},
{
"tag": "v1.3.4",
"kind": "patch",
"published_at": "2026-02-04T04:07:47Z"
},
{
"tag": "v1.3.3",
"kind": "patch",
"published_at": "2026-01-23T14:53:54Z"
},
{
"tag": "v1.3.2",
"kind": "patch",
"published_at": "2026-01-20T06:35:44Z"
},
{
"tag": "v1.3.1",
"kind": "patch",
"published_at": "2026-01-06T05:57:05Z"
},
{
"tag": "v1.3.0",
"kind": "minor",
"published_at": "2025-12-31T09:52:53Z"
},
{
"tag": "v1.2.9",
"kind": "patch",
"published_at": "2025-12-31T09:07:05Z"
},
{
"tag": "v1.2.8",
"kind": "patch",
"published_at": "2025-12-24T13:33:18Z"
},
{
"tag": "v1.2.7",
"kind": "patch",
"published_at": "2025-12-17T12:00:58Z"
},
{
"tag": "v1.2.6",
"kind": "patch",
"published_at": "2025-12-16T10:09:52Z"
},
{
"tag": "v1.2.5",
"kind": "patch",
"published_at": "2025-12-16T09:35:21Z"
},
{
"tag": "v1.2.4",
"kind": "patch",
"published_at": "2025-12-15T10:31:28Z"
},
{
"tag": "v1.2.3",
"kind": "patch",
"published_at": "2025-11-21T15:57:58Z"
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{
"tag": "v1.2.2",
"kind": "patch",
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},
{
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"recent_commits": [
{
"oid": "ec42ea28ecc2330710a9f97a0861f4e6c7782c5b",
"body": "- rewrite 1.6.0 notes to match existing Chinese changelog format",
"is_bot": false,
"headline": "docs(changelog): restore Chinese style for v1.6.0",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2026-07-20T12:28:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "177e57b520feedbfe39903b5d4de98f939ba6c32",
"body": "- unify providers on OpenAI-compatible base client\n- add optional task_type and opt-in luma_meta on tool\n- harden config, version, and secret-safe errors\n- add unit and MCP stdio smoke tests",
"is_bot": false,
"headline": "feat(mcp): add task_type and shared clients",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2026-07-20T12:26:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9831a4861960cabeb1f10d834b7e081aa557eda5",
"body": "Add CustomClient that wraps any OpenAI-compatible API (OpenAI,\nOpenRouter, Together AI, Anthropic proxy, local vLLM/Ollama, etc.).\n\nConfiguration:\n- MODEL_PROVIDER=custom\n- CUSTOM_API_KEY, CUSTOM_BASE_URL, CUSTOM_MODEL_NAME (required)\n- CUSTOM_AUTH_HEADER (bearer | x-api-key | custom, default bearer\n[…]\nder modes, constructor\n validation, baseURL trailing slash handling, and getModelName\n\nDocs:\n- .env.example gains a Custom Provider block\n- README.md and docs/README_EN.md add Custom Provider section",
"is_bot": false,
"headline": "feat: custom provider support for any OpenAI-compatible endpoint",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2026-06-13T00:56:21Z",
"body_truncated": true,
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{
"oid": "adc1705e9bf92dd6183059e6c7b049845916e602",
"body": "Critical fix:\n- fetchRemoteImage: revert URL hostname rewriting that broke TLS cert\n validation for HTTPS URLs; use lookup + httpsAgent servername instead\n\nOther fixes:\n- LRU cache key: hash long inputs (Data URI / large URL) to SHA-256\n to prevent memory blowup (100 entries could reach 500MB+)\n- \n[…]\nt\n- Buffer.from: avoid unnecessary copy when response.data is Buffer\n- .env.example: add Hunyuan provider block\n- test-data-uri: update obsolete pass-through assertion to round-trip\n byte equivalence",
"is_bot": false,
"headline": "fix: HTTPS remote image fetch regression and several v1.4.0 follow-ups",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2026-06-13T00:50:57Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "da21d27772791f78405b2e5250372660da8e70d1",
"body": "- Add SSRF protection (DNS pre-resolution + private IP check + Host header)\n- Add path traversal protection (path.resolve + allowed dirs)\n- Add pixel resolution limit (16M pixels, prevents OOM)\n- Fix Hunyuan enableThinking not passed to API\n- Parallelize multi-tile cropping (65% latency reduction)\n-\n[…]\nbers to named constants\n- Deduplicate TEXT_HEAVY_PROMPT_PATTERN into constants.ts\n- Upgrade axios ^1.7.9 -> ^1.15.1, MCP SDK ^1.0.4 -> ^1.25.4\n- withRetry: skip 4xx (except 429), add jitter to backoff",
"is_bot": false,
"headline": "feat: security hardening, performance optimization, and code quality",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2026-05-24T04:41:00Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "8716c26b704d3072ae85b9673401e46d484caeaf",
"body": null,
"is_bot": false,
"headline": "feat(release): v1.3.8 fix siliconflow 400 error and enhance stability",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2026-05-02T01:31:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6c77079f34a0b2b5fd23dffc99ca62bc01fc483d",
"body": "Improve the vision preprocessing pipeline by routing Data URI inputs through the same normalization path as local and remote images, switching multi-crop generation to adaptive orientation-aware tiling, and adding structured overview/detail hints so multi-image inputs are easier for models to interp\n[…]\nng only provider API calls, add automatic text-heavy detection based on image metadata, and include a regression script plus aligned local test flow to make the behavior easier to verify and maintain.",
"is_bot": false,
"headline": "release: cut v1.3.7",
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{
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{
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{
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},
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"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
"report_type": "repository",
"generated_at": "2026-07-26T19:13:50.403086Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/JochenYang/luma-mcp.svg",
"full_name": "JochenYang/luma-mcp",
"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 v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — npm.