diagram-design
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt
Asset-Profil
Recherche und Wissensarbeit
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Szenario
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent-Fit
Claude Code + CLI + Codex
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add cathrynlavery/diagram-design --skill diagram-design
Wartung
Aktuell
2 Tage seit dem letzten Push
Risiko
Prüfung nötig
Financial research output is not financial advice; require human review before any live investment decision
GitHub-Qualität
24K
91/100 Qualität · 85/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
AusgezeichnetHigh-confidence pick with strong adoption and healthy maintenance signals.
Vertrauen
Vor Installation prüfenGutes Shortlist-Signal, aber der Agent sollte Auditnotizen, Installationsrichtlinien und Ergebnisbelege vor der Ausführung prüfen.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Nach menschlicher oder Sandbox-Prüfung als primären Kandidaten verwenden.
Stars
24K GitHub-Stars
Repository-Aktivität
24K Stars und 1.5K Forks
Wartung
2 Tage seit dem letzten Push
Lizenz
MIT
Installieren
npx skills add cathrynlavery/diagram-design --skill diagram-design
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
filesystem or document access, database access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Starker README/SKILL.md-Kontext
Risikoübersicht
Vor Produktion prüfen
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- Document processing-Workflows
- Claude-Code-Teams
- Teams, die GitHub-Adoptionssignale schätzen
- Read uploaded files
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add cathrynlavery/diagram-design --skill diagram-design
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 77/100
- Audit
- 89/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add cathrynlavery/diagram-design --skill diagram-designNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- Hochregulierte Umgebungen ohne interne Sicherheitsprüfung
- No major risk signals from current metadata
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
Agent-Sicherheit v2
69/100 · Vor Installation prüfen
Nutzbarer Kandidat, aber der Agent sollte Berechtigungs- und Auditnotizen vor der Installation anzeigen.
Vor der Installation in einem echten Arbeitsbereich ist menschliche Freigabe erforderlich.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
Mittel
Datenbankzugriff
Die Skill kann Schemata prüfen, Datenbanken abfragen oder mit persistenten Speichern arbeiten.
- Financial research output is not financial advice; require human review before any live investment decision
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install cathrynlavery-diagram-designAgent-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20diagram-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20diagram-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/cathrynlavery-diagram-design/install
Agent sollte prüfen
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Prompt kopieren
Task: Use diagram-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20diagram-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cathrynlavery-diagram-design/install
Install command: npx skills add cathrynlavery/diagram-design --skill diagram-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/cathrynlavery-diagram-design/install
LLM-Textformat
/api/skills/cathrynlavery-diagram-design/install?format=text
Alternativen finden
/api/skills/search?q=diagram-design&limit=3
Agent-Prompt
Use diagram-design for this task. Review https://www.openagentskill.com/api/skills/cathrynlavery-diagram-design/install, then install with: npx skills add cathrynlavery/diagram-design --skill diagram-designRegistry-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/cathrynlavery-diagram-design
LLM-Text
/api/registry/manifest/cathrynlavery-diagram-design?format=text
Installationsalias
/api/registry/install/cathrynlavery-diagram-design
Empfehlen
/api/registry/recommend?task=Use%20diagram-design%20in%20an%20agent%20workflow&limit=3
Agent-Fit
Document processing
Use-Case-Tags
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 89/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Primäre Wahl für Document processing
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Rolle im Stack
Primäre Wahl
Primäre Eignung
Document processing
Vertrauenslabel
Produktionsbereit
Installationspfad
Befehl bereit
Verwenden wenn
- Document processing-Workflows
- Claude-Code-Teams
- Teams, die GitHub-Adoptionssignale schätzen
Evidenz
- 24,192 GitHub-Stars
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 91/100
- 12 OpenAgentSkill-Interaktionen
zuerst prüfen
- No major risk signals from current metadata
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Document processing-Aufgabe vollständig aus.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Vertrauensprofil
Vor Installation prüfen
Gutes Shortlist-Signal, aber der Agent sollte Auditnotizen, Installationsrichtlinien und Ergebnisbelege vor der Ausführung prüfen.
GitHub-Akzeptanz
Bestanden24K GitHub-Stars
Star-/Fork-Aktivität
Bestanden24K Stars und 1.5K Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden2 Tage seit dem letzten Push
Lizenzklarheit
BestandenMIT
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Large GitHub adoption signal
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Nach menschlicher oder Sandbox-Prüfung als primären Kandidaten verwenden.
Qualitätsprofil
Ausgezeichnet Kandidat für Agent-Workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternativen-Shortlist
Vor Installation vergleichen
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Übersicht
--- name: diagram-design description: Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling. license: MIT metadata: version: "2.6" ---
# Diagram Design
Create visual diagrams as self-contained HTML files with inline SVG and CSS, following an opinionated editorial design system.
Thirty-nine visual types. Semantic patterns describe behavior independently; type references describe layout. Details load from `references/` only when selected.
---
## 0. First-time setup — style guide gate
**Before generating your first diagram in a new project, verify the style guide has been customized.**
Don't silently ship default-skinned diagrams into a branded project.
First check the project root for a `.diagram-design` marker and resolve it per [`references/profiles.md`](references/profiles.md). A valid marker whose profile exists selects that file directly and skips this gate; `profile: default` also skips it. A malformed or missing-profile marker follows the visible failure handling in that reference. Never copy a marker-selected profile over the installed working copy.
Open [`references/style-guide.md`](references/style-guide.md) and check the default tokens. If they're still the shipped defaults (paper `#f5f5f5`, ink `#2d3142`, accent `#eb6c36` atomic-tangerine), **pause and ask the user**:
> *"This is your first diagram in this project. The style guide is still at the default (neutral white-smoke + atomic-tangerine). Do you want to customize it to match your brand first? Options: (a) pull from your website URL, (b) extract from an installed skill, (c) extract from a local folder / design-system directory, (d) paste tokens manually, (e) proceed with the default for now, (f) load a saved client profile."*
Then branch per the matching section of [`references/onboarding.md`](references/onboarding.md); for **(f)** follow [`references/profiles.md`](references/profiles.md).
**Once the style guide has been customized** (or the user explicitly opted for default), skip this gate on subsequent runs. A leading profile header names the copied-in active profile. Without a header, any semantic-role value or typography family differing from shipped defaults means **custom-unsaved**: skip the gate and offer to save it as a profile. All-default tokens with no marker/header trigger the gate. At the end of every onboarding method, offer to save the result as a named client profile per `references/profiles.md`.
---
## 1. Philosophy
**The highest-quality move is usually deletion.**
Applied to schematics:
- Every node represents a distinct idea. Two nodes that always travel together are one node. - Every connection carries information. If the relationship is obvious from layout, remove the line. - Coral is **editorial, not a flag.** 1–2 focal nodes per diagram. Using it on 5 nodes erases the signal. - The schematic isn't done when everything is added. It's done when nothing can be removed.
**Target density: 4/10.** Enough to be technically complete. Not so dense it needs a guide. Above 9 nodes, it's probably two diagrams.
---
## 2. When to Use
Use for any of the 39 visual types (§3) when a reader will learn more from a visual than from prose, a table, or a bulleted list.
**Don't use for:**
- Quick unicode diagrams → use **wiretext**. - Lists of things → table or bullets. - Simple before/after → table. - One-shape "diagrams" → just write the sentence.
Before drawing, ask: *Would the reader learn more from this than from a well-written paragraph?* If no, don't draw.
---
## 3. Selection: semantic pattern, then visual type
When behavior, state, enforcement, or risk carries the meaning, first load [`references/semantic-patterns.md`](references/semantic-patterns.md) and choose one primary pattern. Then choose the nearest visual type for layout. If no pattern matches, choose the type directly.
| Behavioral trigger | Semantic pattern → nearest type | |---|---| | Fan-in, queue depth, finite capacity, bottleneck | **Fan-in queue / bottleneck** → Data flow | | Repeated Question / Input / Governance / Output slots across stages | **Stage framework with semantic slots** → Process | | Conversation or loose input becomes a structured durable artifact | **Unstructured input → structured artifact** → Data flow | | Two rule traces need pass/fail/skipped/not-reached and first divergence | **Paired policy-evaluation traces** → Flowchart | | Trust boundaries plus permitted/forbidden ingress or deploy paths | **Secure paved road** → Architecture | | Controls grouped by where they are enforced | **Governance / control catalog** → Layer stack | | Defenses compensate for prior gaps and residual risk propagates | **Compensating security layers** → Layer stack |
The pattern owns semantic primitives and its tighter budget; the type owns layout grammar. Use [`references/animation.md`](references/animation.md) only when motion is requested or materially clarifies ordered change; static remains the default.
### Visual-type guide (39)
| If you're showing… | Use | Reference | |---|---|---| | Components + connections in a system | **Architecture** | [type-architecture.md](references/type-architecture.md) | | Legacy IT landscape grouped by phase/department; documents the *before* state in modernization proposals | **IT current-state** | [type-it-state.md](references/type-it-state.md) | | Decision logic with branches | **Flowchart** | [type-flowchart.md](references/type-flowchart.md) | | Time-ordered messages between actors | **Sequence** | [type-sequence.md](references/type-sequence.md) | | States + transitions + guards | **State machine** | [type-state.md](references/type-state.md) | | Entities + fields + relationships | **ER / data model** | [type-er.md](references/type-er.md) | | Events positioned in time | **Timeline** | [type-timeline.md](references/type-timeline.md) | | Cross-functional process with handoffs | **Swimlane** | [type-swimlane.md](references/type-swimlane.md) | | Two-axis positioning / prioritization | **Quadrant** | [type-quadrant.md](references/type-quadrant.md) | | Multiple entities scored across 3–5 quantitative criteria | **Radar / Spider** | [type-radar.md](references/type-radar.md) | | One quantitative series across cyclic categories; angle=category, radius=magnitude | **Polar chart** | [type-polar.md](references/type-polar.md) | | Reinforcing cycle / flywheel where the last step feeds the first and a shared hub accumulates state | **Loop** | [type-loop.md](references/type-loop.md) | | Hierarchy through containment / scope | **Nested** | [type-nested.md](references/type-nested.md) | | Parent → children relationships | **Tree** | [type-tree.md](references/type-tree.md) | | Human/agent/team ownership, reporting, routing, escalation | **Org chart** | [type-org-chart.md](references/type-org-chart.md) | | Stacked abstraction levels | **Layer stack** | [type-layers.md](references/type-layers.md) | | Overlap between sets | **Venn** | [type-venn.md](references/type-venn.md) | | Ranked hierarchy or conversion drop-off | **Pyramid / funnel** | [type-pyramid.md](references/type-pyramid.md) | | Quantitative comparison across categories | **Bar chart** | [type-bar.md](references/type-bar.md) | | Part-of-whole where the relative sizes are the story | **Treemap** | [type-treemap.md](references/type-treemap.md) | | Continuous trends over time, or change between exactly two states (slopegraph) | **Line chart** | [type-line.md](references/type-line.md) | | Tasks and phases on a timeline | **Gantt** | [type-gantt.md](references/type-gantt.md) | | Distribution and correlation between two variables | **Scatter plot** | [type-scatter.md](references/type-scatter.md) | | End-to-end data stack on a container cluster | **High-Level** | [type-high-level.md](references/type-high-level.md) | | Multi-actor sequential process with data handoffs | **Process** | [type-process.md](references/type-process.md) | | Multi-tier data storage with quality levels and access policies | **Medallion** | [type-medallion.md](references/type-medallion.md) | | Role-scoped data flow: who does what at each pipeline step | **Data flow** | [type-data-flow.md](references/type-data-flow.md) | | Integration topology of a data platform — sources → core → consumers | **DP integration** | [type-dp-integration.md](references/type-dp-integration.md) | | Per-role / per-component access permissions matrix | **DP security matrix** | [type-dp-security-matrix.md](references/type-dp-security-matrix.md) | | A quantity splitting and merging across stages, band width = amount | **Sankey** | [type-sankey.md](references/type-sankey.md) | | Causes of one observed effect, grouped by category (root-cause analysis) | **Fishbone** | [type-fishbone.md](references/type-fishbone.md) | | Value chain against evolution — what to build, buy, and what is moving | **Wardley map** | [type-wardley.md](references/type-wardley.md) | | Work-in-progress by state, with WIP limits and blocked items | **Kanban** | [type-kanban.md](references/type-kanban.md) | | What a person does across stages of an experience, and how it feels | **User journey** | [type-journey.md](references/type-journey.md) | | Where software runs — zones, hosts, artifacts, replicas, ports | **Deployment** | [type-deployment.md](references/type-deployment.md) | | What depends on what, with fan-in and cycles a tree cannot express | **Dependency graph** | [type-dependency.md](references/type-dependency.md) | | Classes with operations, inheritance, composition (other UML routes elsewhere) | **UML class** | [type-uml-class.md](references/type-uml-class.md) | | Narrative backbone sliced into releases, with the cut line | **Story map** | [type-story-map.md](references/type-story-map.md) | | Physical tables: SQL types, constraints, indexes, column-level FKs | **Database schema** | [type-db-schema.md](references/type-db-schema.md) |
Rules of thumb:
- If a 3-column table communicates the same thing, pick the table. - If two types seem useful, pick the dominant axis; a semantic pattern may add behavior-specific primitives, not a second layout grammar. - If you're past the complexity budget (§7), split into an overview + detail.
**Always load the chosen type reference linked in the guide before drawing.** When routed above, also load `semantic-patterns.md`; when animation is chosen, load `animation.md`.
### Confirm before drawing
Before rendering, state the plan in one short message: the chosen visual type (and semantic pattern, if routed), the size preset, and anything the complexity budget (§7) will force out. If the user is reachable, let them redirect before you draw; if not, proceed and note the assumptions beside the deliverable. Skip the pause only when the request already pins type, size, and content exactly.
---
## 4. Universal Anti-patterns
These mark "AI slop" schematics of any type:
| Anti-pattern | Why it fails | |---|---| | Dark mode + cyan/purple glow | Looks "technical" without design decisions | | JetBrains Mono as blanket "dev" font | Mono is for *technical* content — ports, commands, URLs. Names go in Geist sans. | | Identical boxes for every node | Erases hierarchy | | Legend floating inside the diagram area | Collides with nodes | | Arrow labels with no masking rect | Bleeds through the line | | Vertical `
Technische Details
- Version
- 1.0.0
- Lizenz
- MIT
- Letzte Aktualisierung
- 20. Aug. 2026
- Veröffentlicht
- 20. Aug. 2026
Entscheidungsübersicht
Primäre Wahl
24,192 GitHub-Stars
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 85/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für diagram-design, bereit für einen manuellen X-Post.
diagram-design: Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data mo... 24.2K stars https://www.openagentskill.com/skills/cathrynlavery-diagram-design?ref=x
Optionale Antwort mit Installationsbefehl
Listing + install path for diagram-design: https://www.openagentskill.com/skills/cathrynlavery-diagram-design?ref=x Install: npx skills add cathrynlavery/diagram-design --skill diagram-design
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- cathrynlavery
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird cathrynlavery zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design)
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design)
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design/audit)
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design)Autor
cathrynlavery
@cathrynlavery
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 24.2K
- Qualitätswert
- 54/100
- Letzter GitHub-Push
- 20. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 12
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
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Vertrauen & Sicherheit
Vor Installation prüfen
- GitHub-Akzeptanz24K GitHub-StarsBestanden
- Star-/Fork-Aktivität24K Stars und 1.5K Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBestanden
- Aktuelle Wartung2 Tage seit dem letzten PushBestanden
- LizenzklarheitMITBestanden
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikoexternal package install surface, database surfaceInfo
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