# Send Frankenstein to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "frankenstein", "name": "Frankenstein", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/RubenAQuispe/frankenstein", "canonicalUrl": "https://clawhub.ai/RubenAQuispe/frankenstein", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/frankenstein", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=frankenstein", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "frankenstein", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-03T10:35:07.168Z", "expiresAt": "2026-05-10T10:35:07.168Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=frankenstein", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=frankenstein", "contentDisposition": "attachment; filename=\"frankenstein-1.2.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "frankenstein" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/frankenstein" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/frankenstein", "downloadUrl": "https://openagent3.xyz/downloads/frankenstein", "agentUrl": "https://openagent3.xyz/skills/frankenstein/agent", "manifestUrl": "https://openagent3.xyz/skills/frankenstein/agent.json", "briefUrl": "https://openagent3.xyz/skills/frankenstein/agent.md" } } ``` ## Documentation ### Model Requirements Default: Opus (or best available thinking model) Frankenstein requires deep reasoning to: Compare multiple skill approaches Identify subtle methodology differences Synthesize the best parts creatively Catch security/quality issues others miss Only use a smaller model if user explicitly requests it for cost reasons. The synthesis quality depends heavily on reasoning depth. Create monster skills by combining the best parts of existing ones. ### Quick Start Frankenstein me an SEO audit skill ### Step 1: Search All Sources Search EVERY AI skills repository for matching skills: 1. ClawHub (primary) clawhub search "[topic]" --registry "https://clawhub.ai" 2. GitHub Search: "[topic] AI skill" OR "[topic] claude skill" OR "[topic] agent skill" Look for: SKILL.md, CLAUDE.md, or similar agent instruction files 3. skills.sh https://skills.sh/search?q=[topic] 4. skillsmp.com (Skills Marketplace) https://skillsmp.com/search/[topic] 5. Other sources to check: Anthropic's skill examples OpenAI GPT configurations (convert to skill format) LangChain agent templates AutoGPT/AgentGPT skill repos Gather all candidates before filtering. More sources = better Frankenstein. ### Step 2: Security Scan Run each skill through skill-auditor. Skip any with HIGH risk scores. For each skill found: Install to temp directory Run skill-auditor scan Score >= 7 = SAFE (proceed) Score < 7 = RISKY (skip with warning) ### Step 3: Safe Analysis Analyze safe skills in sandwrap read-only mode. For each safe skill, extract: Core features (what it does) Methodology (how it approaches the problem) Scripts/tools (reusable code) Unique strengths (what makes it special) Weaknesses (what's missing) ### Step 4: Compare Build comparison matrix: Featureskill-Askill-Bskill-CWINNERFeature 1YesNoYesA, CFeature 2BasicAdvancedNoneBFeature 3NoNoYesC ### Step 5: Synthesize Take the winning approach for each feature: Feature 1 methodology from skill-A Feature 2 implementation from skill-B Feature 3 approach from skill-C ### Step 6: Build Initial Draft Use skill-creator to assemble the Frankenstein skill: Combine winning features Resolve conflicts (if two approaches clash) Write unified SKILL.md Include scripts from winners Document sources ### Step 7: Vetting Loop (CRITICAL) Run plan → test → improve loop until 3 stable passes: Pass 1: 1. Read draft 2. Try to break it (find holes, contradictions, gaps) 3. Document issues 4. Fix them Pass 2: 1. Read improved version 2. Actively try to find MORE issues 3. Fix any found Pass 3+: Continue until you genuinely try to improve but can't find significant issues What to look for each pass: Missing features that sources had Contradictions between combined approaches Vague instructions that aren't actionable Token waste (verbose where concise works) Security gaps Broken references to files/scripts Document in VETTING-LOG.md: Each pass number Issues found Fixes applied Why considered stable Only proceed when: 3 consecutive passes with no major issues Minor issues documented as known limitations ### Step 8: Human Review Present the vetted skill for approval: Show what came from where Highlight conflicts resolved Show vetting summary Ask for final OK before saving ### Output Creates a new skill with: Best features from all analyzed skills Clear attribution (credits source skills) Security-scanned components only Unified documentation ### Example Session User: "Frankenstein me an SEO audit skill" Frankenstein: Searching ClawHub for "SEO audit"... Found 5 skills: 1. seo-audit (coreyhaines31) 2. audit-website (squirrelscan) 3. seo-optimizer (local) 4. technical-seo (unknown) 5. seo-checker (unknown) Security scanning... ✓ seo-audit: SAFE (8/10) ✓ audit-website: SAFE (7/10) ✓ seo-optimizer: SAFE (9/10) ✗ technical-seo: RISKY (4/10) - skipping ✗ seo-checker: RISKY (3/10) - skipping Analyzing 3 safe skills... Comparison: | Feature | seo-audit | audit-website | seo-optimizer | |----------------------|-----------|---------------|---------------| | Methodology depth | ★★★★★ | ★★★ | ★★★★ | | Automated rules | None | 230+ | 50+ | | Auto-fix capability | No | No | Yes | | CLI tool | No | squirrel | No | | E-E-A-T coverage | Yes | Yes | Partial | Recommended combination: - Methodology: seo-audit (best framework) - Rules engine: audit-website (230+ rules via squirrel CLI) - Auto-fix: seo-optimizer (automated fixes) - E-E-A-T: seo-audit (comprehensive) Build this Frankenstein? [Yes/No] ### Dependencies This skill uses: clawhub CLI (search/install) skill-auditor (security scanning) sandwrap (safe analysis) skill-creator (building) ### Spawning Sub-Agents When spawning analysis sub-agents, always use Opus (or best thinking model) unless user explicitly requests otherwise: sessions_spawn( task: "FRANKENSTEIN ANALYSIS: [topic]...", model: "opus" ) Cheaper models miss nuances between skills and produce shallow combinations. ### Limitations Only combines publicly available skills Skips skills that fail security scan Cannot resolve deep architectural conflicts Human judgment needed for final synthesis Quality depends on available skills ### Credits When a Frankenstein skill is built, it includes attribution: ## Sources Built from best parts of: - seo-audit by coreyhaines31 (methodology) - audit-website by squirrelscan (rules engine) - seo-optimizer (auto-fix) ## Trust - Source: tencent - Verification: Indexed source record - Publisher: RubenAQuispe - Version: 1.2.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-03T10:35:07.168Z - Expires at: 2026-05-10T10:35:07.168Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/frankenstein) - [Send to Agent page](https://openagent3.xyz/skills/frankenstein/agent) - [JSON manifest](https://openagent3.xyz/skills/frankenstein/agent.json) - [Markdown brief](https://openagent3.xyz/skills/frankenstein/agent.md) - [Download page](https://openagent3.xyz/downloads/frankenstein)