Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 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 erreicht einen Gesundheitsindex von 59 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (81/100) ab, am schwächsten bei Security (42/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
59
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
59
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
JochenPersönliches Konto
14 Follower29 öffentliche Reposseit Juni 2022MILOYA
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| npm | luma-mcp | 1.6.0 | 11.258 | 29 | vor 6 Tagen | mcpvisionaiglm-4.6vzhipudeepseek-ocrsiliconflowqwen3-vlaliyundashscopedoubaovolcenginearkocrfreeimage-understandingmulti-model |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
81
Entwicklungsaktivität
68Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 6 Tagen |
| 9.7/36 | Commit-Rhythmus — 14/52 Wochen mit Commits |
| 14.9/18 | Commit-Volumen — 45 Commits im letzten Jahr |
| 7/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
Verwendete Eingangsdaten
| commits_last_year | 45 |
| human_commit_share | 1 |
| days_since_last_push | 6 |
| active_weeks_last_year | 14 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 22 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 6 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 19,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 22 |
| latest_release_tag | v1.6.0 |
| releases_from_tags | nein |
| days_since_latest_release | 6 |
| mean_days_between_releases | 19,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
50
Popularität & Verbreitung
39Gefährdet
Wie die Bewertung erfolgt
| 31/60 | Stars — 83 Stars |
| 8.3/25 | Forks — 11 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 11 |
| stars | 83 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 54/80 | Downloads pro Monat — 11.258 Downloads/Monat über npm |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | luma-mcp |
| dependents | — |
| ecosystems | npm |
| total_downloads | — |
| monthly_downloads | 11.258 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
47
Maintainer-Resilienz (Bus-Faktor)
13Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits |
| 1.4/13.5 | Breite der Beitragenden — 1 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Reaktionsfähigkeit bei Issues & PRs
47Gefährdet
Wie die Bewertung erfolgt
| 46.8/46.8 | Issue-Lösungsquote — 100 % der Issues geschlossen |
| 0/38.3 | PR-Annahme — 0/1 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 4 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 1 |
Eigentümerschaft & Trägerschaft
47Gefährdet
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 8.5/25 | Reichweite des Inhabers — 14 Follower von JochenYang |
| 18.9/25 | Kontohistorie — 29 öffentliche Repos, Kontoalter ca. 4 Jahre |
Verwendete Eingangsdaten
| followers | 14 |
| owner_type | User |
| is_verified | — |
| owner_login | JochenYang |
| public_repos | 29 |
| account_age_days | 1.496 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf npm |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 6 Tagen |
| 20/20 | Versionshistorie — 29 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | luma-mcp |
| ecosystems | npm |
| any_deprecated | nein |
| min_days_since_publish | 6 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
70
Engineering-Praktiken
60Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
85Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 5 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | image-understanding, mcp, mcp-server, model-context-protocol, vision |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
42
Sicherheitslage
36Gefährdet
Wie die Bewertung erfolgt
| 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 — keine Daten |
| 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 | Lizenz — 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 — keine Daten |
| 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 — keine Daten |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 24 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3,6 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
68Mittel
Wie die Bewertung erfolgt
| 14.6/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: sharp 0.33.5 (high 7.3) |
| 13.2/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: @hono/node-server 1.19.15 (moderate 5.9) |
| 40/40 | Keine offenen Advisories — kein Advisory ist länger als 90 Tage öffentlich |
Verwendete Eingangsdaten
| source | osv |
| advisories | 2 |
| affected_packages | 2 |
| assessed_packages | 138 |
| unassessed_packages | 0 |
| affected_by_severity | high 1, moderate 1 |
| direct_affected_packages | 1 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von npm:luma-mcp@1.6.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 138 Paketen. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
47
AI-Agentenkontext & Leitlinien
40Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 44 von 45 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,978 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
43Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — tsconfig.json |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 45 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | package-lock.json |
| has_dockerfile | nein |
| typed_language | ja |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | tsconfig.json |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — TypeScript (statisch typisiert) |
| 55/55 | Handhabbare Dateigrößen — 0/23 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | TypeScript |
| largest_source_bytes | 25.263 |
| source_files_sampled | 23 |
| oversized_source_files | 0 |
Maschinenlesbare AI-Schnittstellen
20Kritisch
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 0/40 | Lauffähige Beispiele |
Verwendete Eingangsdaten
| example_dirs | — |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
83GitHub-Sterne
1Mitwirkende
45Commits, letzte 12 Monate
6Tage seit letztem Push
22Releases
1Bus-Faktor
0offene Issues
npmPaket-Ökosysteme
Warnungen zur Datenerhebung
- 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
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 11 ⇿
0Sterne
11Forks
17Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 3Patch 14
OpenSSF Scorecard 3.6 / 10
3.6Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| k. 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 |
| k. 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 |
| k. A. | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 24 existing vulnerabilities detected |
Direkte Abhängigkeiten 4
| Registry | Paket | Versionsvorgabe | 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 |
Alle Abhängigkeiten nicht erhoben
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Abhängigkeits-Advisories 2
Die Installation von npm:luma-mcp@1.6.0 zieht 138 Pakete nach sich, direkt und transitiv: 2 tragen bekannte Advisories, davon 1 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| sharp | 0.33.5 | direkt | hoch | 1 | 0.35.0 |
| @hono/node-server | 1.19.15 | indirekt | mittel | 1 | 2.0.5 |
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"headline": "feat: custom provider support for any OpenAI-compatible endpoint",
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"headline": "fix: HTTPS remote image fetch regression and several v1.4.0 follow-ups",
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"headline": "feat: security hardening, performance optimization, and code quality",
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"headline": "release: cut v1.3.6",
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"headline": "chore: bump version to 1.3.5 and optimize visual understanding",
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"headline": "refactor(core): revert to simple implementation and optimize vision p…",
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"headline": "refactor(prompt): optimize vision prompt rule 4 to reduce unnecessary…",
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"headline": "chore(release): 1.3.0 - fix npm package include source files",
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"body": "…g logic\n\n- Fix missing enableThinking parameter in index.ts analyzeWithRetry\n- Unify thinking enable logic across all clients (enableThinking !== false)\n- Volcengine Doubao now correctly supports thinking mode\n- Add comprehensive logging to Qwen client\n- Refactor Zhipu client thinking parameter handling\n\nAll supported models (Zhipu, Qwen, Volcengine) now correctly enable thinking mode.\nUsers can disable it via ENABLE_THINKING=false to improve speed and reduce costs.",
"is_bot": false,
"headline": "fix(thinking): fix enableThinking parameter passing and unify thinkin…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-24T13:32:28Z",
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"oid": "149b6c32cace2dc5dc62fc9e405997e60f108fe5",
"body": "- add volcengine-client.ts to project structure\n- remove deleted prompts.ts from English README\n- synchronize Chinese and English documentation",
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"headline": "docs: update project structure in README files",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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},
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"body": "- new volcengine provider with doubao-seed-1.6 models\n- unified config architecture for all clients\n- support base64, url and local file formats\n- update documentation and examples",
"is_bot": false,
"headline": "feat: upgrade to v1.2.7 - add volcengine provider support",
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"author_login": "JochenYang",
"committed_at": "2025-12-17T12:00:01Z",
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},
{
"oid": "0d59896a2249ee0e4b6b24ab9265a1e85b75f239",
"body": "… enabled\n\n- update zhipu model from glm-4.5v to glm-4.6v\n- increase max_tokens from 8192 to 16384\n- enable thinking mode by default\n- remove prompts.ts and use raw prompts\n- update documentation",
"is_bot": false,
"headline": "feat: upgrade to v1.2.6 - glm-4.6v model, 16384 tokens, thinking mode…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-17T11:59:23Z",
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"oid": "eff6cea84b224c4db093216d246bcc56a740b015",
"body": "- Remove unused src/prompts.ts file\n- Remove buildAnalysisPrompt from index.ts\n- Remove buildAnalysisPrompt from qwen-client.ts\n- All providers now use raw user prompt directly\n- Reduces token consumption and unifies behavior",
"is_bot": false,
"headline": "feat: remove prompt wrapper and use raw prompts for all providers",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-16T09:34:57Z",
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"headline": "chore: release v1.2.4 - version bump",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-15T10:05:41Z",
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"headline": "chore: release v1.2.3 - code cleanup and tool description optimization",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-21T15:56:20Z",
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{
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"headline": "docs: update CHANGELOG.MD something",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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},
{
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"body": null,
"is_bot": false,
"headline": "feat: add @ path support and optimize prompts for v1.2.2",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-20T14:16:06Z",
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},
{
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"headline": "docs: update project structure in READMEs",
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"author_login": "JochenYang",
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},
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"is_bot": false,
"headline": "ci: remove automatic npm publish from workflow due to npm token polic…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-18T08:02:24Z",
"body_truncated": false,
"is_coding_agent": false
},
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"headline": "chore: bump version to 1.2.1",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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"is_bot": false,
"headline": "docs: add Qwen local testing examples and pricing/model comparison de…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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"headline": "refactor: simplify prompts.ts comment header",
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"committed_at": "2025-11-18T04:16:21Z",
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"headline": "docs: simplify README, remove redundant config paths and changelog de…",
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"author_login": "JochenYang",
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"body_truncated": false,
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},
{
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"body": "- Auto-create GitHub Release from tag\n- Extract release notes from CHANGELOG.md\n- Auto-publish to npm with NPM_TOKEN",
"is_bot": false,
"headline": "ci: add GitHub Actions workflow for automated releases",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-17T13:08:49Z",
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"body": "- Add Aliyun Qwen3-VL-Flash vision model support\n- Support thinking mode for complex scenarios\n- Update all clients to use independent parameters\n- Remove hardcoded API keys from test files (security fix)\n- Update documentation (CN/EN) with Qwen configuration examples\n- Default to qwen3-vl-flash model for better cost-performance\n- Update .env.example with Qwen configuration",
"is_bot": false,
"headline": "feat: add Qwen3-VL-Flash support v1.2.0",
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"body": "- Support base64-encoded image data (data:image/png;base64,...)\n- Enable direct image passing when MCP clients support it\n- Add Data URI format validation (MIME type, size limits)\n- Update tool description and documentation\n- Add comprehensive test suite for Data URI\n- Prepare for future client-side image paste support",
"is_bot": false,
"headline": "feat: Add Data URI support for image input (v1.1.1)",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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"headline": "docs: Update English README with multi-model support",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-13T11:22:24Z",
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},
{
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"body": "- Add multi-model architecture with VisionClient interface\n- Support SiliconFlow DeepSeek-OCR (free OCR service)\n- Add MODEL_PROVIDER environment variable for model selection\n- Optimize prompt handling for DeepSeek-OCR\n- Update documentation with dual-model configuration\n- Add .env.example and CHANGELOG.md\n- Maintain backward compatibility with existing configurations",
"is_bot": false,
"headline": "feat: Add DeepSeek-OCR support via SiliconFlow (v1.1.0)",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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},
{
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"body": "- Thinking mode is now ON by default (better for image analysis)\n- Updated documentation to reflect default behavior\n- Users can disable it via ZHIPU_ENABLE_THINKING=false if needed\n- Changed parameter name from 'question' to 'prompt' in docs\n- Version bump to 1.0.3",
"is_bot": false,
"headline": "feat: re-enable thinking mode by default for better accuracy",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-12T02:35:23Z",
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"headline": "Delete directory",
"author_name": "Jochen",
"author_login": "JochenYang",
"committed_at": "2025-11-11T14:54:05Z",
"body_truncated": false,
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},
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"body": null,
"is_bot": false,
"headline": "chore: Update the .gitignore`",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-11T14:53:36Z",
"body_truncated": false,
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"headline": "docs: remove redundant doc links from README",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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"body": "- Changed default behavior: thinking mode is now OFF by default\n- Users can enable it via ZHIPU_ENABLE_THINKING=true if needed\n- Reduces response time by ~30%\n- Saves ~20-30% tokens per request\n- Version bump to 1.0.2",
"is_bot": false,
"headline": "perf: disable thinking mode by default for better speed and lower cost",
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"is_bot": false,
"headline": "feat: make prompt parameter required to improve auto-trigger reliability",
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"author_login": "JochenYang",
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"is_bot": false,
"headline": "docs: update tool invocation instructions with correct MCP tool names",
"author_name": "dabaotongxue",
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"headline": "chore: fix package.json formatting (npm auto-correction)",
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"committed_at": "2025-11-11T14:14:26Z",
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{
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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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"points": 0,
"status": "missed",
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]
},
{
"key": "stewardship",
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"notes": [
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"code": "excluded_no_data",
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"components": [
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{
"key": "verified_domain",
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"status": "excluded",
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{
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"code": "owner_followers",
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"max_points": 25
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{
"key": "track_record",
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"points": 18.9,
"status": "partial",
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},
{
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]
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{
"key": "package_maintenance",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"components": [
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"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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}
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"max_points": 25
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{
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"status": "met",
"details": [
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{
"key": "version_history",
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"points": 20,
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{
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],
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{
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"name": "Engineering Quality",
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"weight": 0.2,
"metrics": [
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"notes": [
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{
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{
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"notes": [],
"value": 85,
"inputs": {
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{
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"points": 10,
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"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"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — npm.