{"slug":"danicat-double-diamond","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.","long_description":"---\nname: double-diamond\ndescription: >\n  Universal multi-agent orchestration workflow based on the Double Diamond\n  framework (Inception -> Discovery -> Definition -> Development -> Delivery).\n  Coordinates parallel subagents with context isolation to separate\n  problem-space research from solution-space implementation. Activate for\n  complex, high-ambiguity initiatives across software engineering, in-depth\n  research, long-form writing, legal analysis, or product strategy requiring\n  structured human alignment gates.\nlicense: Apache-2.0\nmetadata:\n  category: agents\n  tags: \"orchestration, workflow, research, planning, subagents, agile\"\n  author: Daniela Petruzalek (daniela@danicat.dev)\n  version: \"0.2.0\"\n  catalog: https://skills.danicat.dev\n---\n\n# Double-Diamond Multi-Agent Orchestration\n\nThe `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.\n\n```\n                              INCEPTION PHASE\n                          (Pre-Diamond Alignment)\n                         /grill-me User Interview\n                      Establish Shared Understanding\n                                     │\n                                     ▼\n          DIAMOND 1: PROBLEM SPACE                  DIAMOND 2: SOLUTION SPACE\n          (Research & Exploration)                   (Creation & Verification)\n\n         /--- Discovery (Diverge) ---\\             /--- Development (Diverge) ---\\\n        /  Parallel `research` sub-   \\           /   Parallel creation sub-      \\\n       /   agents explore landscape,   \\         /    agents craft disjoint        \\\nStart >    constraints & prior art      > Brief >     sections/modules in parallel  > Delivery\n       \\                               /  Gate   \\                                 /  (Gates)\n        \\---  Definition (Converge) --/           \\---   Delivery (Converge)  ----/\n             Synthesize findings into                  Holistic review, integration,\n             a Foundation Document                     and quality gate verification\n```\n\n---\n\n## 🌐 Universal Domain Mapping\n\nDouble Diamond adapts seamlessly across technical, creative, and analytical domains:\n\n| Phase | Software Engineering | Writing & Publishing | Legal & Policy Research | Product & Strategy |\n| :--- | :--- | :--- | :--- | :--- |\n| **0. Inception** | Stack, constraints, latency, scope | Audience, tone, thesis, length | Jurisdiction, case theory, facts | Market, user persona, success metrics |\n| **1. Discover** *(Diverge)* | Codebase, APIs, edge cases | Background research, angles, data | Precedents, statutes, case law | Competitor analysis, customer interviews |\n| **2. Define** *(Converge)* | Technical Specification | Structured Editorial Outline | Legal Brief / Argument Structure | PRD / Feature Specification |\n| **Steering Gate** | Approve architecture & trade-offs | Approve thesis & outline | Approve legal theory & approach | Sign off on product direction |\n| **3. Develop** *(Diverge)* | Parallel module implementation | Parallel chapter/section drafting | Parallel argument/motion drafting | Parallel prototype/stream exploration |\n| **4. Deliver** *(Converge)* | Build, tests, lint, spec compliance | Fact-check, style, voice, flow | Citation audit, counter-arguments | Executive synthesis, launch readiness |\n\n---\n\n## ⚡ Core Principles & Operational Rules\n\n1. **Pre-Diamond Inception (Alignment Gate):**\n   - Before launching research divergence, the Coordinator executes an **Inception** phase via the `/grill-me` interactive interview protocol (using `ask_question`).\n   - The Coordinator explores the existing environment/context first, then interviews the user about goals, constraints, non-negotiables, target audience, and deliverable modality.\n2. **Two Distinct Diamond Phases (Problem Space vs. Solution Space):**\n   - **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.\n   - **Diamond 2 (Solution Space):** Focuses on parallel creation against the approved definition, followed by rigorous quality gating.\n3. **Context Isolation via Subagents:**\n   - 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.\n4. **Mandatory User Steering Gate (Human-in-the-Loop Alignment):**\n   - 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.\n5. **Disjoint Work Allocation (Zero Collision):**\n   - 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.\n6. **Domain-Specific Delivery Quality Gates:**\n   - 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.\n\n---\n\n## 🎯 Agent Budget & Degree of Parallelism (DOP)\n\n* **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.\n* **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.\n* **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.\n* **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.\n\n### Recommended Baseline Sizing:\n\n| Initiative Scale | Agent Budget ($\\text{DOP}$) | Active Discovery Workers | Active Creation Workers | Typical Scope |\n| :--- | :---: | :---: | :---: | :--- |\n| **Focused / Targeted** | **2** | **2** (Landscape + Standards) | **2** (Core + Surface) | Single module, short article, targeted feature |\n| **Standard (Default)** | **4** | **4** (Landscape, Standards, Edge Cases, Comparative) | **4** (WPs 1–4 disjoint modules/sections) | Multi-module service, comprehensive whitepaper, PRD |\n| **Complex / Deep** | **6–8+** | **6–8+** (Subsystem reconnaissance / micro-probes) | **6–8+** (Distributed package authors) | Full architectural rewrite, multi-chapter publication |\n| **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 |\n\n---\n\n## 📡 Non-Blocking Coordinator & Reactive Concurrency\n\nThe Coordinator is the primary conversational interface and strategic conductor. It must remain **permanently unblocked** to respond to user messages at any point during execution.\n\n1. **Role Separation (Delegation over Execution):**\n   - 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.\n2. **Fire-and-Yield Concurrency:**\n   - When the Coordinator spawns subagents via `invoke_subagent`, it **immediately halts tool calls to end its turn**. It never loops, sleeps, or polls.\n3. **Always Unblocked for User Queries:**\n   - Because the Coordinator never enters busy-wait polling loops, it is always available to process incoming user messages while subagents work in the background:\n     - **Status Inquiries**: The Coordinator can immediately provide progress updates or inspect active workers via `manage_subagents (Action=\"list\")`.\n     - **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\")`.\n4. **Automatic Reactive Wakeup:**\n   - When subagents finish their tasks, the messaging platform automatically wakes up the Coordinator with their full results.\n\n---\n\n## 🧭 The 6-Step Double-Diamond Workflow\n\n### 1. Step 0: Inception (Pre-Diamond Alignment)\n* Coordinator activates the `/grill-me` protocol, systematically interviewing the user one decision node at a time via `ask_question`.\n* Explores existing materials first, then clarifies scope boundaries, deliverable modality, non-negotiables, and user preferences.\n* **Reference Guide:** Read [`references/inception_phase.md`](references/inception_phase.md) for interview patterns and decision-tree traversal.\n\n### 2. Step 1: Discover (Diamond 1 Divergence)\n* Coordinator decomposes the problem space into up to $\\text{DOP}$ orthogonal exploration vectors (e.g., Landscape reconnaissance, Standards & APIs, Constraints & Failure modes, Prior art).\n* Spawns parallel `research` subagents using `invoke_subagent` and immediately yields execution.\n* **Reference Guide:** Read [`references/research_phase.md`](references/research_phase.md) for vector decomposition and prompt templates.\n\n### 3. Step 2: Define (Diamond 1 Convergence)\n* Coordinator synthesizes research reports into a unified **Foundation Document** (Technical Specification, Editorial Outline, Legal Brief, or PRD).\n* Establishes system contracts, interfaces, chapter structure, or argument trees, alongside disjoint work package allocations.\n* **Document Template:** Populate [`assets/specification_template.md`](assets/specification_template.md) with research synthesis and work breakdowns.\n\n### 4. Step 3: User Steering Gate (Interactive Alignment)\n* Coordinator presents the executive summary, draft Foundation Document, and architectural/editorial trade-offs to the user.\n* Solicits user feedback, resolves decision forks, and obtains explicit confirmation before proceeding to creation.\n\n### 5. Step 4: Develop (Diamond 2 Divergence)\n* Coordinator spawns up to $\\text{DOP}$ parallel creator subagents (`self` subagents with write & tool access) and immediately yields execution.\n* Each creator receives a strictly disjoint Work Package (WP) and executes localized verification:\n  - **Software**: Package-scoped unit tests (`go test ./internal/pkg/...`, `pytest tests/unit/`, `npm test -- src/pkg/`).\n  - **Writing**: Section drafting against word count, tone, and source citations.\n  - **Legal/Policy**: Argument drafting with case citations and statutory cross-referencing.\n* **Reference Guide:** Read [`references/development_phase.md`](references/development_phase.md) for disjoint allocation and creator prompt templates.\n\n### 6. Step 5: Deliver (Diamond 2 Convergence & Quality Gating)\n* Coordinator integrates all parallel deliverables into a coherent whole and executes end-to-end verification.\n* **Failure Recovery Protocol**: If any integration test, fact-check, or consistency check fails:\n  1. Isolate the failing component and review specific error traces or discrepancies.\n  2. Launch a targeted repair subagent with the exact context and interface contract.\n  3. Re-verify all delivery gates until 100% pass before presenting the final deliverable to the user.\n\n---\n\n## ⚠️ Common Gotchas & Antipatterns\n\n1. **Skipping Inception & As","tagline":"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. 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Creators can claim the listing to update ownership signals."},"stats":{"stars":16,"forks":3,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":31.86},"quality":{"score":59,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"16","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":["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."]},"trust":{"version":"trust-score-v5","score":61,"base_score":69,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","install":"npx skills add danicat/skills --skill double-diamond","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add danicat/skills --skill double-diamond","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["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"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v3","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add danicat/skills --skill double-diamond","trust_score":61,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["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"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":69,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v5":{"version":"trust-score-v5","score":61,"base_score":69,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["61/100 Trust Score v5","69/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":30,"weight":0.13,"status":"fail","detail":"16 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":32,"weight":0.08,"status":"fail","detail":"16 stars, 3 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":82,"weight":0.12,"status":"pass","detail":"network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add danicat/skills --skill double-diamond"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":72,"weight":0.07,"status":"info","detail":"filesystem or document access, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/danicat/skills/tree/main/agents/double-diamond"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"fail","label":"GitHub adoption","detail":"16 GitHub stars"},{"status":"fail","label":"Stars/forks activity","detail":"16 stars, 3 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add danicat/skills --skill double-diamond"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"filesystem or document access, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/danicat/skills/tree/main/agents/double-diamond"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","install":"npx skills add danicat/skills --skill double-diamond","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add danicat/skills --skill double-diamond","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["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"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v3","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add danicat/skills --skill double-diamond","trust_score":61,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["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"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":69,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v4":{"version":"trust-score-v4","score":69,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":30,"weight":0.13,"status":"fail","detail":"16 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":32,"weight":0.08,"status":"fail","detail":"16 stars, 3 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":82,"weight":0.12,"status":"pass","detail":"network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add danicat/skills --skill double-diamond"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":72,"weight":0.07,"status":"info","detail":"filesystem or document access, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/danicat/skills/tree/main/agents/double-diamond"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"fail","label":"GitHub adoption","detail":"16 GitHub stars"},{"status":"fail","label":"Stars/forks activity","detail":"16 stars, 3 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add danicat/skills --skill double-diamond"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"filesystem or document access, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/danicat/skills/tree/main/agents/double-diamond"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["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"],"evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","install":"npx skills add danicat/skills --skill double-diamond","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add danicat/skills --skill double-diamond","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["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"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["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"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":55,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["Financial research output is not financial advice; require human review before any live investment decision","55/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["Financial research output is not financial advice; require human review before any live investment decision","55/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":68,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Permission surface: filesystem or document access, network or browser access","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.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate double-diamond before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add danicat/skills --skill double-diamond"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add danicat/skills --skill double-diamond"]},{"id":"trust_score","label":"Trust score","status":"warn","score":69,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","16 GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":75,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":55,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":72,"required_for_auto_install":true,"detail":"filesystem or document access, network or browser access","evidence":["Browser automation: medium","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/danicat-double-diamond/evals","api":"/api/agent/evals?slug=danicat-double-diamond","text":"/api/agent/evals?slug=danicat-double-diamond&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"danicat-double-diamond","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.","category":"research","url":"https://www.openagentskill.com/skills/danicat-double-diamond","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","github_repo":"danicat/skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add danicat/skills --skill double-diamond","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-double-diamond"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"double-diamond\" agent skill from https://github.com/danicat/skills/tree/main/agents/double-diamond. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"double-diamond\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/agents/double-diamond. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"double-diamond\" from https://github.com/danicat/skills/tree/main/agents/double-diamond into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/danicat-double-diamond/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/danicat-double-diamond"},"trust":{"score":69,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","install":"npx skills add danicat/skills --skill double-diamond","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["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"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["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.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":59,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","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","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.","Quality score needs review"],"agent_contract":{"task_input":"Use double-diamond in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 69/100 Manual review","Audit: 75/100 Needs review","Safety: 55/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-double-diamond (double-diamond)","install_command":"npx skills add danicat/skills --skill double-diamond","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"danicat-double-diamond","task":"Use double-diamond in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/danicat-double-diamond","api":"https://www.openagentskill.com/api/agent/skills/danicat-double-diamond","audit":"https://www.openagentskill.com/skills/danicat-double-diamond/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-double-diamond&task=Use%20double-diamond%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20double-diamond%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20double-diamond%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-double-diamond/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-double-diamond"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"danicat-double-diamond","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.","category":"research","url":"https://www.openagentskill.com/skills/danicat-double-diamond","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","github_repo":"danicat/skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add danicat/skills --skill double-diamond","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-double-diamond"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"double-diamond\" agent skill from https://github.com/danicat/skills/tree/main/agents/double-diamond. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"double-diamond\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/agents/double-diamond. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"double-diamond\" from https://github.com/danicat/skills/tree/main/agents/double-diamond into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/danicat-double-diamond/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/danicat-double-diamond"},"trust":{"score":69,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","install":"npx skills add danicat/skills --skill double-diamond","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["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"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["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.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":59,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","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","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.","Quality score needs review"],"agent_contract":{"task_input":"Use double-diamond in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 69/100 Manual review","Audit: 75/100 Needs review","Safety: 55/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-double-diamond (double-diamond)","install_command":"npx skills add danicat/skills --skill double-diamond","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"danicat-double-diamond","task":"Use double-diamond in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/danicat-double-diamond","api":"https://www.openagentskill.com/api/agent/skills/danicat-double-diamond","audit":"https://www.openagentskill.com/skills/danicat-double-diamond/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-double-diamond&task=Use%20double-diamond%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20double-diamond%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20double-diamond%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-double-diamond/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-double-diamond"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"workflow-automation","title":"Workflow automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add danicat/skills --skill double-diamond","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16,"starsLabel":"16","forks":3,"license":"Apache-2.0","qualityScore":59,"trustScore":69,"auditScore":75},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T23:26:16+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["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.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":75,"risk_level":"needs_review","risk_label":"Needs review","quality_score":59,"trust_score":69,"maintenance_score":100,"security_score":78,"install_score":92,"warnings":["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.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":8.61,"usage_score":0,"review_score":5.25,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"security-compliance","title":"Security and compliance","url":"https://www.openagentskill.com/use-cases/security-compliance"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add danicat/skills --skill double-diamond","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-double-diamond","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"double-diamond\" agent skill from https://github.com/danicat/skills/tree/main/agents/double-diamond. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"double-diamond\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/agents/double-diamond. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"double-diamond\" from https://github.com/danicat/skills/tree/main/agents/double-diamond into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-double-diamond\",\"task\":\"Install double-diamond\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","github_repo":"danicat/skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/danicat-double-diamond","repository":"https://github.com/danicat/skills/tree/main/agents/double-diamond","api":"/api/agent/skills/danicat-double-diamond","install_api":"/api/skills/danicat-double-diamond/install"},"meta":{"created_at":"2026-08-24T00:35:28.271452+00:00","updated_at":"2026-08-24T00:35:28.271452+00:00","agent_friendly":true}}