double-diamond

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Im Registry indexiert

Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activ

Verified installs0
Stars16
Version1.0.0
Qualität59/100 · Vielversprechend
Vertrauen61/100 · Nur Sandbox
Audit75/100 · Prüfung nötig

Asset-Profil

Recherche und Wissensarbeit

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Bereich ansehen

Szenario

Recherche-Agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent-Fit

Claude Code + CLI + Codex

Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.

Installieren

Bereit

npx skills add danicat/skills --skill double-diamond

Wartung

Aktuell

Heute gepusht

Risiko

Prüfung nötig

Financial research output is not financial advice; require human review before any live investment decision

GitHub-Qualität

16

59/100 Qualität · 69/100 Vertrauen

Abdeckungs-Tags

RechercheRecherche-Agentsagent-skill

Review-Notizen

Financial research output is not financial advice; require human review before any live investment decision · No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.

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

Vielversprechend
59

Useful candidate, but compare it with alternatives before adopting.

Vertrauen

Nur Sandbox
61

Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.

Audit

Prüfung nötig
75

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

OpenAgentSkill Trust Score v5

Menschliche Prüfung vor Installation

Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

16 GitHub-Stars

Repository-Aktivität

16 Stars und 3 Forks

Wartung

Heute gepusht

Lizenz

Apache-2.0

Installieren

npx skills add danicat/skills --skill double-diamond

Installationssicherheit

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsfläche

filesystem or document access, network or browser access

Agent-Ergebnisse

Noch keine Agent-Ergebnisdaten

Dokumentation

Usable metadata, review docs

Risikoübersicht

Vor Produktion prüfen

  • No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • 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.

JSON öffnen

Geeignete Aufgaben

  • Research-Agent-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects
  • Suchquellen

Geeignete Agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Installationsentscheidung

Befehl
npx skills add danicat/skills --skill double-diamond
Richtlinie
Prüfen
Menschliche Prüfung
Ja

Vertrauen und Risiko

Vertrauen
61/100
Audit
75/100
Risikoebene
Prüfung nötig

Ergebnis-Loop

Endpoint
/api/agent/outcome
Event-ID
resolve
Ergebnisse
5

Installationsbefehl

npx skills add danicat/skills --skill double-diamond

Nicht verwenden, wenn

  • Teams, die ein vom Anbieter unterstütztes SLA benötigen
  • production agents without a repository review
  • Low GitHub adoption signal
  • No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
  • No OpenAgentSkill engagement data yet

Agent-Sicherheit v2

55/100 · Vor Installation prüfen

ExperimentellPrüfen

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Per API auflösen

Mittel

Browser automation

Skill may drive a browser or interact with web pages.

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.

  • 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.

skill install

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 danicat-double-diamond

Agent-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.

Textplan öffnen

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 double-diamond in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/danicat-double-diamond/install
Install command: npx skills add danicat/skills --skill double-diamond
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.

Installations-API öffnen

Agent-Prompt

Use double-diamond for this task. Review https://www.openagentskill.com/api/skills/danicat-double-diamond/install, then install with: npx skills add danicat/skills --skill double-diamond

Registry-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 öffnen

Agent-Fit

58/100

Recherche-Agents

Plattformen

Claude Code

Audit-Bericht

Prüfung nötig · 75/100

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

Audit-Bericht ansehenEval-Bericht ansehen

Agent-Entscheidungspanel

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

58
Bereitschaft
Prototyp
Phase

Rolle im Stack

Fallback-Kandidat

Primäre Eignung

Recherche-Agents

Vertrauenslabel

Zuerst prototypisieren

Installationspfad

Befehl bereit

Verwenden wenn

  • Research-Agent-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects

Evidenz

  • recent repository activity
  • install command or GitHub repo available
  • Qualitätsprofil 59/100

zuerst prüfen

  • Low GitHub adoption signal
  • No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
  • No OpenAgentSkill engagement data yet

Implementierungspfad

  1. 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Recherche-Agents-Aufgabe vollständig aus.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Vertrauensprofil

Nur Sandbox

Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.

61
OpenAgentSkill Trust Score

GitHub-Akzeptanz

Beheben

16 GitHub-Stars

Star-/Fork-Aktivität

Beheben

16 Stars und 3 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

Heute gepusht

Lizenzklarheit

Bestanden

Apache-2.0

Positive Signale

  • KI-Prüfung genehmigt
  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Kürzlich gewartetes Repository
  • Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
  • Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf

Vor Installation prüfen

  • No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 16 GitHub stars
  • Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata
  • Noch keine echten Agent-Ergebnisberichte
  • Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich

Empfohlene Aktion

Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.

Qualitätsprofil

Vielversprechend Kandidat für Agent-Workflows

Useful candidate, but compare it with alternatives before adopting.

59
GitHub-Stars
16
Aktualität
Heute
Installationsbereit
Ja
Lizenz
Apache-2.0
Vor Installation prüfen: Low GitHub adoption signal · No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.

Workflow-Eignung

Diese Skill in diesen Szenarien nutzen

Workflow-Eignung

Zum vollständigen Workflow hinzufügen

Alternativen-Shortlist

Vor Installation vergleichen

Similar skills that may fit this task.

Alle vergleichen

Übersicht

--- name: double-diamond description: > Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activate for complex, high-ambiguity initiatives across software engineering, in-depth research, long-form writing, legal analysis, or product strategy requiring structured human alignment gates. license: Apache-2.0 metadata: category: agents tags: "orchestration, workflow, research, planning, subagents, agile" author: Daniela Petruzalek (daniela@danicat.dev) version: "0.2.0" catalog: https://skills.danicat.dev ---

# Double-Diamond Multi-Agent Orchestration

The `double-diamond` skill coordinates complex, high-ambiguity initiatives through the proven **Double Diamond** framework, preceded by an **Inception** alignment phase. It leverages **parallel subagents with context isolation** to thoroughly explore the problem space before committing to solution-space implementation.

``` INCEPTION PHASE (Pre-Diamond Alignment) /grill-me User Interview Establish Shared Understanding │ ▼ DIAMOND 1: PROBLEM SPACE DIAMOND 2: SOLUTION SPACE (Research & Exploration) (Creation & Verification)

/--- Discovery (Diverge) ---\ /--- Development (Diverge) ---\ / Parallel `research` sub- \ / Parallel creation sub- \ / agents explore landscape, \ / agents craft disjoint \ Start > constraints & prior art > Brief > sections/modules in parallel > Delivery \ / Gate \ / (Gates) \--- Definition (Converge) --/ \--- Delivery (Converge) ----/ Synthesize findings into Holistic review, integration, a Foundation Document and quality gate verification ```

---

## 🌐 Universal Domain Mapping

Double Diamond adapts seamlessly across technical, creative, and analytical domains:

| Phase | Software Engineering | Writing & Publishing | Legal & Policy Research | Product & Strategy | | :--- | :--- | :--- | :--- | :--- | | **0. Inception** | Stack, constraints, latency, scope | Audience, tone, thesis, length | Jurisdiction, case theory, facts | Market, user persona, success metrics | | **1. Discover** *(Diverge)* | Codebase, APIs, edge cases | Background research, angles, data | Precedents, statutes, case law | Competitor analysis, customer interviews | | **2. Define** *(Converge)* | Technical Specification | Structured Editorial Outline | Legal Brief / Argument Structure | PRD / Feature Specification | | **Steering Gate** | Approve architecture & trade-offs | Approve thesis & outline | Approve legal theory & approach | Sign off on product direction | | **3. Develop** *(Diverge)* | Parallel module implementation | Parallel chapter/section drafting | Parallel argument/motion drafting | Parallel prototype/stream exploration | | **4. Deliver** *(Converge)* | Build, tests, lint, spec compliance | Fact-check, style, voice, flow | Citation audit, counter-arguments | Executive synthesis, launch readiness |

---

## ⚡ Core Principles & Operational Rules

1. **Pre-Diamond Inception (Alignment Gate):** - Before launching research divergence, the Coordinator executes an **Inception** phase via the `/grill-me` interactive interview protocol (using `ask_question`). - The Coordinator explores the existing environment/context first, then interviews the user about goals, constraints, non-negotiables, target audience, and deliverable modality. 2. **Two Distinct Diamond Phases (Problem Space vs. Solution Space):** - **Diamond 1 (Problem Space):** Focuses exclusively on reconnaissance, constraint mapping, dependency analysis, and definition. No final deliverable code or prose is authored during Diamond 1. - **Diamond 2 (Solution Space):** Focuses on parallel creation against the approved definition, followed by rigorous quality gating. 3. **Context Isolation via Subagents:** - Deep exploration and multi-track creation happen in isolated subagent contexts (`research` for read-only exploration, `self` for creation). This prevents context pollution and hallucination in the Coordinator's session. 4. **Mandatory User Steering Gate (Human-in-the-Loop Alignment):** - Between Diamond 1 and Diamond 2, the Coordinator halts to present the synthesized **Foundation Document** (Spec, Outline, Brief, or PRD) and trade-offs to the user for explicit review and confirmation. 5. **Disjoint Work Allocation (Zero Collision):** - In Diamond 2 (Development), parallel creator subagents receive strictly disjoint assignments (e.g., distinct source files, separate article sections, independent legal claims) to prevent overwrite collisions. 6. **Domain-Specific Delivery Quality Gates:** - Work is not delivered until all domain-specific quality gates pass: structural integrity, localized unit/section verification, holistic consistency, and compliance with the approved Foundation Document.

---

## 🎯 Agent Budget & Degree of Parallelism (DOP)

* **Definition**: **Agent Budget** is synonymous with **Degree of Parallelism (DOP)**. It defines the maximum number of **active, concurrent subagents** allowed to execute at the exact same time. * **Active vs. Past Capacity**: Completed or terminated subagents do **not** consume budget. The budget applies strictly to currently running subagents. When a subagent completes its work, its concurrency slot is immediately freed. * **Elastic Scaling**: While the baseline default is $\text{DOP} = 4$, the framework scales elastically to any user-requested budget (e.g., $\text{DOP} = 10, 20, 50+$) for massive parallel surveys, parameter sweeps, or multi-module initiatives. * **High-DOP High-Signal Mandate (Micro-Probe Rule)**: When operating with elevated concurrency ($\text{DOP} \ge 8$), subagents must act as focused micro-probes. The Coordinator instructs subagents to return dense, high-signal, structured summaries ($\le 150$ words or tabular format) rather than verbose essays, enabling clean Map-Reduce synthesis without context dilution.

### Recommended Baseline Sizing:

| Initiative Scale | Agent Budget ($\text{DOP}$) | Active Discovery Workers | Active Creation Workers | Typical Scope | | :--- | :---: | :---: | :---: | :--- | | **Focused / Targeted** | **2** | **2** (Landscape + Standards) | **2** (Core + Surface) | Single module, short article, targeted feature | | **Standard (Default)** | **4** | **4** (Landscape, Standards, Edge Cases, Comparative) | **4** (WPs 1–4 disjoint modules/sections) | Multi-module service, comprehensive whitepaper, PRD | | **Complex / Deep** | **6–8+** | **6–8+** (Subsystem reconnaissance / micro-probes) | **6–8+** (Distributed package authors) | Full architectural rewrite, multi-chapter publication | | **Massive Swarm** | **20–50+** | **20–50+** (Broad API surveys, micro-benchmarks, fuzzing) | **20–50+** (Massive parallel module/asset generation) | Wide ecosystem sweeps, multi-file migrations |

---

## 📡 Non-Blocking Coordinator & Reactive Concurrency

The Coordinator is the primary conversational interface and strategic conductor. It must remain **permanently unblocked** to respond to user messages at any point during execution.

1. **Role Separation (Delegation over Execution):** - The Coordinator orchestrates, synthesizes, and interfaces with the user. It **never** blocks itself with long, sequential manual execution—heavy exploration and drafting are delegated to subagents. 2. **Fire-and-Yield Concurrency:** - When the Coordinator spawns subagents via `invoke_subagent`, it **immediately halts tool calls to end its turn**. It never loops, sleeps, or polls. 3. **Always Unblocked for User Queries:** - Because the Coordinator never enters busy-wait polling loops, it is always available to process incoming user messages while subagents work in the background: - **Status Inquiries**: The Coordinator can immediately provide progress updates or inspect active workers via `manage_subagents (Action="list")`. - **In-Flight Steering / Scope Changes**: If the user provides new constraints or changes requirements mid-run, the Coordinator can steer active subagents via `send_message` or cancel/restart them via `manage_subagents (Action="kill")`. 4. **Automatic Reactive Wakeup:** - When subagents finish their tasks, the messaging platform automatically wakes up the Coordinator with their full results.

---

## 🧭 The 6-Step Double-Diamond Workflow

### 1. Step 0: Inception (Pre-Diamond Alignment) * Coordinator activates the `/grill-me` protocol, systematically interviewing the user one decision node at a time via `ask_question`. * Explores existing materials first, then clarifies scope boundaries, deliverable modality, non-negotiables, and user preferences. * **Reference Guide:** Read [`references/inception_phase.md`](references/inception_phase.md) for interview patterns and decision-tree traversal.

### 2. Step 1: Discover (Diamond 1 Divergence) * Coordinator decomposes the problem space into up to $\text{DOP}$ orthogonal exploration vectors (e.g., Landscape reconnaissance, Standards & APIs, Constraints & Failure modes, Prior art). * Spawns parallel `research` subagents using `invoke_subagent` and immediately yields execution. * **Reference Guide:** Read [`references/research_phase.md`](references/research_phase.md) for vector decomposition and prompt templates.

### 3. Step 2: Define (Diamond 1 Convergence) * Coordinator synthesizes research reports into a unified **Foundation Document** (Technical Specification, Editorial Outline, Legal Brief, or PRD). * Establishes system contracts, interfaces, chapter structure, or argument trees, alongside disjoint work package allocations. * **Document Template:** Populate [`assets/specification_template.md`](assets/specification_template.md) with research synthesis and work breakdowns.

### 4. Step 3: User Steering Gate (Interactive Alignment) * Coordinator presents the executive summary, draft Foundation Document, and architectural/editorial trade-offs to the user. * Solicits user feedback, resolves decision forks, and obtains explicit confirmation before proceeding to creation.

### 5. Step 4: Develop (Diamond 2 Divergence) * Coordinator spawns up to $\text{DOP}$ parallel creator subagents (`self` subagents with write & tool access) and immediately yields execution. * Each creator receives a strictly disjoint Work Package (WP) and executes localized verification: - **Software**: Package-scoped unit tests (`go test ./internal/pkg/...`, `pytest tests/unit/`, `npm test -- src/pkg/`). - **Writing**: Section drafting against word count, tone, and source citations. - **Legal/Policy**: Argument drafting with case citations and statutory cross-referencing. * **Reference Guide:** Read [`references/development_phase.md`](references/development_phase.md) for disjoint allocation and creator prompt templates.

### 6. Step 5: Deliver (Diamond 2 Convergence & Quality Gating) * Coordinator integrates all parallel deliverables into a coherent whole and executes end-to-end verification. * **Failure Recovery Protocol**: If any integration test, fact-check, or consistency check fails: 1. Isolate the failing component and review specific error traces or discrepancies. 2. Launch a targeted repair subagent with the exact context and interface contract. 3. Re-verify all delivery gates until 100% pass before presenting the final deliverable to the user.

---

## ⚠️ Common Gotchas & Antipatterns

1. **Skipping Inception & As

Technische Details

Version
1.0.0
Lizenz
Apache-2.0
Letzte Aktualisierung
24. Aug. 2026
Veröffentlicht
24. Aug. 2026

Entscheidungsübersicht

Fallback-Kandidat

58
Bereit
Prototyp
Phase

recent repository activity

Audit

Installationsprüfung

Installations- und Adoptionsprüfung

75
Prüfung nötig
Sicherheit
78/100
Wartung
100/100
Installieren
92/100
Vollständiges Audit öffnenEval-Bericht ansehen

Von Agent belegte Evidenz

Von Agent belegte Evidenz

Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.

0
Belegt
Needs first agent runAuto-Installation: zuerst prüfenLetzter: Unbekannt
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

X

Szenariobasierter Entwurf für double-diamond, bereit für einen manuellen X-Post.

Kuratorenhinweis
double-diamond: Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception...

16 stars

https://www.openagentskill.com/skills/danicat-double-diamond?ref=x
X-Entwurf öffnen
Optionale Antwort mit Installationsbefehl
Listing + install path for double-diamond:
https://www.openagentskill.com/skills/danicat-double-diamond?ref=x

Install: npx skills add danicat/skills --skill double-diamond
Antwortentwurf öffnen

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
danicat
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 beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird danicat 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=listed&label=Listed)](https://www.openagentskill.com/skills/danicat-double-diamond)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=trust&label=Trust)](https://www.openagentskill.com/skills/danicat-double-diamond)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=audit&label=Audit)](https://www.openagentskill.com/skills/danicat-double-diamond/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/danicat-double-diamond)

Autor

D

danicat

@danicat

Plattform-Fit

Gesundheitssignale

GitHub-Stars
16
Qualitätswert
32/100
Letzter GitHub-Push
23. Aug. 2026
Framework-Hinweise
Unbekannt
OpenAgentSkill-Aufrufe
0
Installationskopien
0
Externe Klicks
0

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.

Vertrauen & Sicherheit

Nur Sandbox

61
  • GitHub-Akzeptanz16 GitHub-StarsBeheben
  • Star-/Fork-Aktivität16 Stars und 3 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBeheben
  • Aktuelle WartungHeute gepushtBestanden
  • LizenzklarheitApache-2.0Bestanden
  • README/SKILL.md-VollständigkeitÖffentliche Metadaten benötigen mehr README/SKILL.md-KontextInfo
  • Abhängigkeits-/Laufzeitrisikonetwork or browser surfaceBestanden