{"slug":"danicat-uno-reverse","name":"uno-reverse","description":"Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production.","long_description":"---\nname: uno-reverse\ndescription: >\n  Radical simplification, red-teaming, and Occam's Razor devil's advocate for\n  software architecture, PRDs, agent workflows, and technical designs.\n  Challenges feature creep, speculative abstractions, and bloated specifications\n  by proposing minimum viable primitives that deliver 90% of value with 10% of\n  moving parts. Activate when reviewing complex technical proposals, pruning\n  bloated architectures, red-teaming design docs, eliminating speculative\n  features, or seeking the simplest possible path to production.\nlicense: Apache-2.0\nmetadata:\n  category: agents\n  tags: \"simplification, red-team, architecture, occams-razor, minimalism, review, refactoring\"\n  author: Daniela Petruzalek (daniela@danicat.dev)\n  version: \"0.1.0\"\n  catalog: https://skills.danicat.dev\n---\n\n# Uno-Reverse: Radical Simplification & Red-Teaming\n\n> *\"Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.\"* — Antoine de Saint-Exupéry\n\nThe `uno-reverse` skill provides a rigorous **contrarian simplification and red-teaming framework**. While standard engineering processes naturally drift toward feature accretion, defensive layering, and speculative generalization, `uno-reverse` forces the opposite trajectory: **aggressive subtraction, primitive collapsing, and minimum viable execution**.\n\n---\n\n## 🎯 The 4 Inversion Principles\n\n```\n  ┌─────────────────────────────────────────────────────────────┐\n  │                    THE UNO-REVERSE RAZOR                    │\n  ├─────────────────────────────────────────────────────────────┤\n  │ 1. Subtraction Before Addition: \"Can we delete our way out?\" │\n  │ 2. Primitive Collapsing: \"Can 1 composable primitive do 5 jobs?\"│\n  │ 3. Zero-Speculation (YAGNI): \"Are we solving an imagined problem?\"│\n  │ 4. Failure-Surface Inversion: \"How will this complexity break?\" │\n  └─────────────────────────────────────────────────────────────┘\n```\n\n1. **Subtraction Before Addition**: Before designing a new subsystem, caching layer, or protocol, ask: *What existing assumption or artificial constraint can be deleted to make this entire feature unnecessary?*\n2. **Primitive Collapsing**: Engineers frequently add flags, endpoints, and micro-abstractions for every sub-case. Identify the single underlying mathematical or conceptual primitive that subsumes all sub-cases without bespoke code.\n3. **Zero-Speculation (Strict YAGNI)**: Reject all \"future-proofing\", pluggable abstraction layers for single implementations, and configurable policies where a single sensible constant or deterministic convention works.\n4. **Failure-Surface Inversion**: Evaluate a system by its total attack, bug, and maintenance surface:\n   $$\\text{Reliability} \\propto \\frac{1}{\\text{Moving Parts}^2}$$\n   Every added cache, lock, daemon, state file, and flag represents a new failure mode and cognitive tax.\n\n---\n\n## 🚩 Speculative Language Red-Flag Filter (PRDs & Specs)\n\nWhen auditing technical proposals or PRDs, immediately flag these weasel phrases:\n\n| Speculative Phrase ❌ | Underlying Reality | Uno-Reverse Action ✅ |\n| :--- | :--- | :--- |\n| *\"Future-proof design\"* | Unused code and speculative abstractions today | Delete the abstraction; write the concrete implementation. |\n| *\"Pluggable provider model\"* | Only 1 provider exists | Hardcode the single provider until a 2nd concrete provider is built. |\n| *\"Flexible policy engine\"* | Author avoided making a design decision | Pick the single sensible default convention. |\n| *\"Event-driven microservices\"* | Synchronous calls disguised as message queues | Use direct in-process function calls. |\n| *\"Highly configurable\"* | Shifting architectural choices to end-users | Ship zero flags; make opinionated choices. |\n| *\"Generic abstraction layer\"* | Premature DRY before seeing 3 distinct patterns | Duplicate the 5 lines of code; wait for Rule of Three. |\n\n---\n\n## 🔬 Accidental Complexity Code Smells (Codebase Audits)\n\nWhen reviewing code, actively hunt down and prune these structural anti-patterns:\n\n1. **Single-Implementation Interfaces**:\n   * *Smell*: An interface `FooService` with only one concrete struct `fooServiceImpl`.\n   * *Fix*: Delete the interface. Export the concrete struct directly. Introduce interfaces only when consumers need mocking at architectural boundaries.\n2. **Passthrough Wrapper Functions**:\n   * *Smell*: Function `GetUserData(id)` that does nothing except call `db.FetchUser(id)`.\n   * *Fix*: Eliminate the middleman. Call the underlying operation directly.\n3. **State Machine Inflation**:\n   * *Smell*: A 7-state lifecycle machine (`PENDING_APPROVAL`, `READY_FOR_QUEUE`, `QUEUED`, ...) with 15 transition validation functions.\n   * *Fix*: Collapse to 2 boolean flags or an active/done state.\n4. **Relational Over-Normalization for Small Datasets**:\n   * *Smell*: A 6-table normalized schema with foreign keys and joins for $< 10,000$ total records.\n   * *Fix*: Store as a single flat SQLite table, JSON document, or in-memory map.\n\n---\n\n## 🤖 The Agent & AI Workflow Razor\n\nAI systems are especially prone to multi-agent and prompt bloat. Apply these rules:\n\n| Bloated Agent Pattern ❌ | Collapsed Alternative ✅ | Rationale |\n| :--- | :--- | :--- |\n| **5-Agent Swarm for sequential task** | Single agent with 1 clear prompt | Multi-agent handoffs add latency, token cost, and lossy context degradation. |\n| **Intermediate Summarizer Agents** | Direct downstream consumption | \"Telephone game\" summarization strips critical nuance. |\n| **Micro-Tool Sprawl (10 single-action tools)** | 1 Polymorphic Tool with clear args | Decreases tool selection entropy and LLM routing hallucinations. |\n| **Autonomous Loop without Guardrails** | Deterministic script + LLM leaf node | Use code for control flow and LLMs only for fuzzy transformation. |\n\n---\n\n## 🔍 The 4-Step Uno-Reverse Audit Workflow\n\nWhen invoked on a design document, PRD, or proposed codebase change, execute this 4-step inversion protocol:\n\n```mermaid\nflowchart TD\n    A[Incoming Proposal / Complex Spec] --> B[Step 1: The Subtraction Test]\n    B --> C[Step 2: Primitive Collapsing & Flag Pruning]\n    C --> D[Step 3: The Cache & State Invalidation Probe]\n    D --> E[Step 4: The 10% Minimum Viable Proposal]\n    E --> F[Output: Simplification Scorecard & Minimalist Spec]\n```\n\n### Step 1: The Subtraction Test (The 3 Deadly Questions)\nApply these questions to every component in the proposal:\n1. **The Ghost Problem Test**: If we do *nothing* and ship zero lines of code, what *actually* breaks in production today?\n2. **The 90/10 Rule**: What 10% of this proposal delivers 90% of the actual user value? Can we discard the remaining 90% of the spec?\n3. **The Accidental Complexity Probe**: Is this feature solving a real user problem, or is it solving a problem introduced by an earlier bad abstraction?\n\n### Step 2: Primitive Collapsing & Surface Pruning\nCollapse multiple flags, commands, or data structures into single composable primitives:\n\n| Bloated Pattern (Before ❌) | Collapsed Primitive (After ✅) | Rationale |\n| :--- | :--- | :--- |\n| `--page`, `--section`, `--index`, `--toc`, `#slug` | Positional URI path `doc[#section]` | Unified resource addressability replaces 5 separate flags. |\n| Separate `read`, `load`, `refs`, `peek` commands | Single polymorphic `load <target>` | Reduces agent decision entropy and CLI verb sprawl. |\n| Configuration file + 12 env vars + CLI flags | Deterministic convention over configuration | Eliminates configuration drift and precedence bugs. |\n| In-memory LRU cache + Disk cache + Remote sync | Fast on-the-fly streaming | Raw operations in RAM (< 1 ms) make caching slower than compute. |\n\n### Step 3: The Cache & State Invalidation Probe\nWhenever a proposal introduces caching, local state files, or background workers:\n- **Calculate the Cache Paradox**: Measure the cost of on-the-fly computation vs. cache serialization, disk I/O, hash verification, and invalidation race conditions.\n- **Enforce Ephemeral Execution**: If in-memory computation takes $< 1\\text{ ms}$, **strictly forbid persistent caching layers**.\n\n### Step 4: The 10% Minimum Viable Proposal (MVP)\nDraft an alternative \"Uno-Reverse Specification\" that:\n- Achieves the core objective in $\\le 20\\%$ of the proposed lines of code.\n- Uses zero external dependencies or heavy frameworks.\n- Requires zero background daemons, zero state migrations, and zero cache management.\n\n---\n\n## 🛡️ Chesterton’s Fence: When NOT to Simplify\n\nRadical simplification is **not** reckless deletion. Before eliminating a mechanism, identify whether it represents **Essential** or **Accidental** complexity:\n\n```\n┌───────────────────────────────────────┬───────────────────────────────────────┐\n│     NEVER PRUNE (Essential Safety)    │    ALWAYS PRUNE (Accidental Bloat)    │\n├───────────────────────────────────────┼───────────────────────────────────────┤\n│ • Concurrency locks & race guards     │ • Unbenchmarked caching layers        │\n│ • Authentication & permission checks  │ • Generic abstract factories          │\n│ • Input validation & sanitization     │ • Pluggable drivers for 1 provider    │\n│ • Idempotency tokens & rollbacks      │ • Config flags for internal decisions │\n│ • Explicit error handling boundaries  │ • Micro-agent coordination swarms     │\n└───────────────────────────────────────┴───────────────────────────────────────┘\n```\n\n> **The Chesterton Gate**: *If you cannot explain why a defensive check or data field was originally added, you are forbidden from deleting it until you understand its failure mode.*\n\n---\n\n## 📋 The Simplification Audit Scorecard\n\nDeliver all audit results in this standardized, high-signal markdown format:\n\n```markdown\n# 🔄 Uno-Reverse Simplification Audit: [Topic / Proposal]\n\n## 1. Executive Inversion Summary\n- **Proposed Complexity**: [Summary of moving parts, services, and flags in original design]\n- **Recommended Verdict**: [Prune / Collapse / Re-architect]\n- **Potential Code Reduction**: ~X% (from ~Y LOC to ~Z LOC)\n\n## 2. The Cut List (Items to Eliminate Immediately)\n| Proposed Feature / Component | Reason for Elimination | What Happens Without It |\n| :--- | :--- | :--- |\n| [Feature A] | Speculative generalization | Nothing; solve with a single constant |\n| [Feature B] | Cache paradox (I/O > Compute) | Scan on the fly in < 0.1 ms |\n\n## 3. Collapsed Primitives\n- **Instead of**: [List of disparate flags / commands]\n- **Use**: [Single elegant primitive]\n\n## 4. The Minimalist Reference Design\n[Concrete, ultra-compact specification / code snippet implementing the 10% MVP]\n\n## 5. Chesterton Boundary Assessment\n- **Essential Complexity Retained**: [Security, safety, or concurrency checks kept intact]\n- **Risk & Trade-off Assessment**: [Edge cases intentionally omitted and why the trade-off is sound]\n```\n\n---\n\n## 🚫 Common Engineering Traps to Call Out\n\n1. **\"What if the user wants X?\" (Speculative Customization)**:\n   - *Uno-Reverse Response*: \"Wait until 3 distinct users actively request it in production before writing code for it.\"\n2. **\"We might support other backends later\" (Premature Extensibility)**:\n   - *Uno-Reverse Response*: \"Implement the concrete backend directly. Refactoring clean concrete code is 10x faster than maintaining unused abstractions.\"\n3. **\"Let's add a cache for performance\" (Unbenchmarked Caching)**:\n   - *Uno-Reverse Response*: \"Benchmark the raw in-memory operation first. If it takes $< 5\\text{ ms}$, a cache is tech debt, not an optimization.\"\n4. **\"Let's add a configuration flag\" (Passing Design Decisions to Users)**:\n   - *Uno-Reverse Response*: \"Make the right design decision in the code. Every configuration flag is an abdication of architectural responsibility.\"\n5. **\"Let's spawn an agent swarm for this\" (Multi-Agent Vanity)**:\n   - *Uno-Reverse Response*: \"If the steps are sequential, write a 15-line deterministic script. Keep agents for non-deterministic reasoning.\"\n","tagline":"Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. 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issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","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/uno-reverse","install":"npx skills add danicat/skills --skill uno-reverse","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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 uno-reverse","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","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":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","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 uno-reverse","trust_score":55,"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"],"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"],"knownRisks":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":63,"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":63,"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":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add danicat/skills --skill uno-reverse"},{"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":24,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/danicat/skills/tree/main/agents/uno-reverse"},{"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":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add danicat/skills --skill uno-reverse"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/danicat/skills/tree/main/agents/uno-reverse"},{"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":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"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":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"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/uno-reverse","install":"npx skills add danicat/skills --skill uno-reverse","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add danicat/skills --skill uno-reverse","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"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","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"],"knownRisks":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":27,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access"]},"auto_install_allowed":false,"human_review_required":true,"blocked":true,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"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"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","auto_install_policy":"block","auto_install_allowed":false,"blocked":true,"human_review_required":true,"recommended_action":"Do not auto-install. 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Inspect the source, dependencies, and permission surface first.","Metadata combines secrets access with shell or command execution"]},{"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":"fail","score":24,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","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-uno-reverse/evals","api":"/api/agent/evals?slug=danicat-uno-reverse","text":"/api/agent/evals?slug=danicat-uno-reverse&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"danicat-uno-reverse","name":"uno-reverse","description":"Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production.","category":"research","url":"https://www.openagentskill.com/skills/danicat-uno-reverse","repository":"https://github.com/danicat/skills/tree/main/agents/uno-reverse","github_repo":"danicat/skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Summarize source material","Adapt tone for channels"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add danicat/skills --skill uno-reverse","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-uno-reverse"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"uno-reverse\" agent skill from https://github.com/danicat/skills/tree/main/agents/uno-reverse. 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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 \"uno-reverse\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/agents/uno-reverse. 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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 \"uno-reverse\" from https://github.com/danicat/skills/tree/main/agents/uno-reverse 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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-uno-reverse/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/danicat-uno-reverse"},"trust":{"score":63,"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/uno-reverse","install":"npx skills add danicat/skills --skill uno-reverse","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":71,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"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","SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review"],"agent_contract":{"task_input":"Use uno-reverse in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 63/100 Manual review","Audit: 71/100 Needs review","Safety: 27/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-uno-reverse (uno-reverse)","install_command":"npx skills add danicat/skills --skill uno-reverse","risk_summary":"Needs review; Blocked for auto-install; 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-uno-reverse","task":"Use uno-reverse 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-uno-reverse","api":"https://www.openagentskill.com/api/agent/skills/danicat-uno-reverse","audit":"https://www.openagentskill.com/skills/danicat-uno-reverse/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-uno-reverse&task=Use%20uno-reverse%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20uno-reverse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20uno-reverse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-uno-reverse/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-uno-reverse"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"danicat-uno-reverse","name":"uno-reverse","description":"Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production.","category":"research","url":"https://www.openagentskill.com/skills/danicat-uno-reverse","repository":"https://github.com/danicat/skills/tree/main/agents/uno-reverse","github_repo":"danicat/skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Summarize source material","Adapt tone for channels"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add danicat/skills --skill uno-reverse","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-uno-reverse"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"uno-reverse\" agent skill from https://github.com/danicat/skills/tree/main/agents/uno-reverse. 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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 \"uno-reverse\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/agents/uno-reverse. 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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 \"uno-reverse\" from https://github.com/danicat/skills/tree/main/agents/uno-reverse 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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-uno-reverse/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/danicat-uno-reverse"},"trust":{"score":63,"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/uno-reverse","install":"npx skills add danicat/skills --skill uno-reverse","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":71,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"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","SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review"],"agent_contract":{"task_input":"Use uno-reverse in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 63/100 Manual review","Audit: 71/100 Needs review","Safety: 27/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-uno-reverse (uno-reverse)","install_command":"npx skills add danicat/skills --skill uno-reverse","risk_summary":"Needs review; Blocked for auto-install; 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-uno-reverse","task":"Use uno-reverse 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-uno-reverse","api":"https://www.openagentskill.com/api/agent/skills/danicat-uno-reverse","audit":"https://www.openagentskill.com/skills/danicat-uno-reverse/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-uno-reverse&task=Use%20uno-reverse%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20uno-reverse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20uno-reverse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-uno-reverse/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-uno-reverse"}},"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":"content-automation","title":"Content automation"},{"slug":"database-sql","title":"Database and SQL"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add danicat/skills --skill uno-reverse","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16,"starsLabel":"16","forks":3,"license":"Apache-2.0","qualityScore":59,"trustScore":63,"auditScore":71},"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":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":71,"risk_level":"needs_review","risk_label":"Needs review","quality_score":59,"trust_score":63,"maintenance_score":100,"security_score":69,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md does not explicitly state limitations or scenarios where the skill should not be applied, which could lead to misuse.","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":8.61,"usage_score":0,"review_score":5.7,"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":"content-automation","title":"Content automation","url":"https://www.openagentskill.com/use-cases/content-automation"},{"slug":"database-sql","title":"Database and SQL","url":"https://www.openagentskill.com/use-cases/database-sql"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add danicat/skills --skill uno-reverse","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-uno-reverse","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 \"uno-reverse\" agent skill from https://github.com/danicat/skills/tree/main/agents/uno-reverse. 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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 \"uno-reverse\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/agents/uno-reverse. 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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 \"uno-reverse\" from https://github.com/danicat/skills/tree/main/agents/uno-reverse 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: Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production. 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-uno-reverse\",\"task\":\"Install uno-reverse\",\"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/uno-reverse","github_repo":"danicat/skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/danicat-uno-reverse","repository":"https://github.com/danicat/skills/tree/main/agents/uno-reverse","api":"/api/agent/skills/danicat-uno-reverse","install_api":"/api/skills/danicat-uno-reverse/install"},"meta":{"created_at":"2026-08-24T00:35:59.360659+00:00","updated_at":"2026-08-24T00:35:59.360659+00:00","agent_friendly":true}}