{"slug":"agentscope-ai-bootstrap","name":"bootstrap","description":"Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation.","long_description":"---\nname: bootstrap\ndescription: >\n  Use when the user has nothing — no traces, no labels, no eval set — and needs to\n  build a v0 evaluation from scratch. Also use when the user says \"I need to start\n  evaluating my app but don't know where to begin,\" \"I want to set up eval for a new\n  product,\" or has just identified failure modes and needs to turn them into principles.\n  Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a\n  roadmap to reach calibrated evaluation.\n---\n\n<HARD-GATE>\nNO v0 grader deployed WITHOUT explicitly marking it as uncalibrated.\nNO synthetic labels — LLM can generate eval inputs, but labels MUST come from real system output + human judgment.\nNO principle without a source label documenting where it came from.\n</HARD-GATE>\n\n# Bootstrap\n\nCold-start an evaluation system when you have nothing. In 30 minutes you get a working\nv0 grader and a clear path to a calibrated, trustworthy evaluation.\n\n> **Requires OpenJudge** (`pip install py-openjudge`) for the grader generators\n> (`SimpleRubricsGenerator` / `IterativeRubricsGenerator`). The interview, stratification,\n> and calibration-roadmap methodology is SDK-independent.\n\n## Checklist\n\nYou MUST create a task for each item and complete them in order:\n\n1. **Understand the product** — one-shot interview, not question-by-question\n2. **Generate v0 grader** — use OpenJudge SimpleRubricsGenerator\n3. **Synthesize eval inputs** — 30 inputs with 60/30/10 stratification\n4. **Run v0 evaluation** — GradingRunner with the generated grader\n5. **Output roadmap** — exactly how to reach 50 labels → calibrate\n\n## Step 1: Product Interview (One Shot)\n\nAsk the user to describe their system in one go:\n\n```\nTo bootstrap your evaluation, I need to understand what you're building.\nPlease describe (all at once):\n\n- What does your system do? Who uses it?\n- What are 3 examples of perfect outputs?\n- What are 3 things the system must never do?\n- What failures worry you most?\n```\n\nDon't drip-feed these questions. One prompt, one answer. If the user provides a spec\ndoc or design document instead, read that directly.\n\n## Step 2: Generate v0 Grader\n\nUse OpenJudge's `SimpleRubricsGenerator` to create a zero-shot grader from the\nproduct description:\n\n```python\nimport asyncio\nfrom openjudge.models.openai_chat_model import OpenAIChatModel\nfrom openjudge.generator.simple_rubric.generator import (\n    SimpleRubricsGenerator,\n    SimpleRubricsGeneratorConfig,\n)\nfrom openjudge.runner.grading_runner import GradingRunner\n\n# OpenAIChatModel reads OPENAI_API_KEY / OPENAI_BASE_URL from the environment.\n# For Aliyun DashScope (Bailian): set OPENAI_BASE_URL to\n# https://dashscope.aliyuncs.com/compatible-mode/v1 and OPENAI_API_KEY to your key.\nmodel = OpenAIChatModel(model=\"qwen-plus\")  # or \"gpt-4o\", etc.\n\nconfig = SimpleRubricsGeneratorConfig(\n    grader_name=\"Initial Quality Grader\",\n    model=model,\n    task_description=\"<summarize from the interview>\",\n    scenario=\"<usage context from interview>\",\n    min_score=0,\n    max_score=1,\n)\n\ngenerator = SimpleRubricsGenerator(config)\ngrader = await generator.generate(\n    dataset=[],\n    sample_queries=[\n        \"<example query 1 from interview>\",\n        \"<example query 2 from interview>\",\n        \"<example query 3 from interview>\",\n    ],\n)\n```\n\nWhy zero-shot instead of asking the user to write criteria? At this stage, the user\ndoesn't know what \"good\" means operationally. The generator produces a reasonable\nstarting point. The user refines it after seeing v0 results.\n\n## Step 3: Synthesize Eval Inputs\n\nGenerate 30 test inputs with stratification. Use 3 different prompt templates for\ndiversity:\n\n```\nTemplate 1: \"Generate a typical {domain} query for a {user_type}\"\nTemplate 2: \"Create an ambiguous {domain} query where intent is unclear\"\nTemplate 3: \"Generate an edge-case {domain} query that's unusual but realistic\"\n```\n\nTarget distribution:\n- 60% common/typical queries (18 inputs)\n- 30% boundary/ambiguous queries (9 inputs)\n- 10% edge-case/unusual queries (3 inputs)\n\n**Critical**: Generate inputs ONLY. Never generate labels. The labels come from\nrunning the actual system and getting human judgments.\n\n```python\n# The dataset format for GradingRunner\ndataset = [\n    {\n        \"query\": \"What's the status of my order #12345?\",\n        \"response\": \"<will be filled by running the system>\",\n    },\n    # ... 30 inputs\n]\n```\n\n## Step 4: Run v0 Evaluation\n\nPlug the generated grader into GradingRunner:\n\n```python\nfrom openjudge.runner.grading_runner import GradingRunner\nfrom openjudge.graders.schema import GraderScore, GraderError\n\nrunner = GradingRunner(\n    grader_configs={\"v0_quality\": grader},\n    max_concurrency=8,\n)\n\nresults = await runner.arun(dataset)\n\nscores = [r.score for r in results[\"v0_quality\"] if isinstance(r, GraderScore)]\nerrors = [r for r in results[\"v0_quality\"] if isinstance(r, GraderError)]\nprint(f\"V0 Results: avg={sum(scores)/len(scores):.2f}, errors={len(errors)}\")\n```\n\n## Step 5: Output Roadmap\n\nThe v0 grader is uncalibrated — you don't know its TPR/TNR yet. Give the user an\nexact path to trustworthiness:\n\n```\nYour v0 evaluation is ready. Here's the path to a calibrated system:\n\nPhase 1 (now): Run the v0 grader on 30 inputs to get a baseline.\n  → The grader is UNCALIBRATED. Treat scores as directional, not definitive.\n\nPhase 2 (1-2 weeks): Collect 50 human-labeled examples (25 pass + 25 fail).\n  → For each system output, have a human mark pass/fail against the criterion.\n  → Store labels in labels/<grader_name>.jsonl\n\nPhase 3: When you have 50 labels, run 03-align-human to:\n  → Measure TPR/TNR of the v0 grader\n  → Detect biases (position, verbosity, self-enhancement)\n  → Get a human-reduction roadmap\n\nPhase 4: When TPR >= 0.8 and TNR >= 0.8:\n  → The grader is calibrated and can be used as a production gate\n```\n\n## Quick Mode vs Deep Mode\n\n- **Quick mode (default)**: Steps 1-5 above. 30 minutes to v0. Use when stakes=low\n  or when exploring.\n- **Deep mode**: If the user has 20+ labeled examples, use `IterativeRubricsGenerator`\n  instead of `SimpleRubricsGenerator` for data-driven grader creation:\n\n```python\nfrom openjudge.generator.iterative_rubric.generator import (\n    IterativeRubricsGenerator,\n    IterativePointwiseRubricsGeneratorConfig,\n)\n\nconfig = IterativePointwiseRubricsGeneratorConfig(\n    grader_name=\"Data-Driven Grader\",\n    model=model,\n    task_description=\"<from interview>\",\n    min_score=0, max_score=1,\n    max_epochs=3,\n    batch_size=10,\n)\ngenerator = IterativeRubricsGenerator(config)\ngrader = await generator.generate(dataset=labeled_data)  # 20+ labeled examples\n```\n\n## Red Flags — STOP and Re-evaluate\n\n- \"I'll generate both inputs and labels with the LLM to save time\" → STOP.\n  LLM-generating labels creates a self-consistency loop. TPR will look great\n  until you test on real data, then it collapses.\n- \"The v0 grader looks good, let's deploy it as a gate\" → STOP. Uncalibrated\n  graders have unknown TPR/TNR. They might pass everything or fail everything.\n- \"I'll skip the roadmap, the user knows what to do next\" → STOP. The roadmap\n  IS the deliverable. Without it, bootstrap just produces an untrustworthy grader.\n\n## Common Mistakes\n\n- **Over-interviewing**. One prompt with 4 questions. Don't ask follow-ups unless\n  the answers are genuinely unclear.\n- **Too many principles in v0**. SimpleRubricsGenerator works best with a focused\n  task description. Don't try to evaluate 10 dimensions in v0 — start with the\n  2-3 most important ones.\n- **Skipping stratification in synthetic inputs**. If all 30 inputs are typical\n  queries, you'll never see how the system handles edge cases.\n- **Presenting v0 scores as truth**. Always prefix v0 results with \"UNVERIFIED —\n  these scores are directional only.\"\n\n## Next Skills\n\nAfter `08-bootstrap`:\n- **`03-align-human`**: Once 50 human labels are collected, calibrate the grader.\n- **`01-eval-design`**: If you want a properly stratified dataset beyond the v0 30 inputs.\n- **`02-metric-design`**: If you need multiple graders for different dimensions.","tagline":"Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified fa","category":"design-creative","tags":["agent-skill"],"author":"agentscope-ai","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"agentscope-ai/OpenJudge","creatorName":"agentscope-ai","creatorUrl":"https://github.com/agentscope-ai","sourceUrl":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/agentscope-ai-bootstrap#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":816,"forks":65,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":40.79},"quality":{"score":70,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"816","tone":"positive"},{"label":"Freshness","value":"1mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details."]},"trust":{"version":"trust-score-v5","score":68,"base_score":76,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":76,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":76,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"816 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"816 stars, 65 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"1mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":80,"weight":0.12,"status":"info","detail":"external package install surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add agentscope-ai/OpenJudge --skill bootstrap"},{"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":74,"weight":0.07,"status":"info","detail":"filesystem or document access, database access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap"},{"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":"info","label":"GitHub adoption","detail":"816 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"816 stars, 65 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"1mo since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"external package install surface"},{"status":"pass","label":"Install availability","detail":"npx skills add agentscope-ai/OpenJudge --skill bootstrap"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"filesystem or document access, database access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap"},{"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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"],"evidence":{"stars":"816 GitHub stars","repoActivity":"816 stars, 65 forks","lastPushed":"1mo since push","license":"Apache-2.0","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","install":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","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","1mo since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"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":["design-creative","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":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"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":58,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","58/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"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":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details."],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","58/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":72,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","Permission surface: filesystem or document access, database access","The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"],"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":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate bootstrap before installing it in an agent workflow","design-creative","Browser automation workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add agentscope-ai/OpenJudge --skill bootstrap"]},{"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 agentscope-ai/OpenJudge --skill bootstrap"]},{"id":"trust_score","label":"Trust score","status":"warn","score":76,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","816 GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Needs review","evidence":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":58,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details."]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"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":88,"required_for_auto_install":false,"detail":"1mo since push","evidence":["1mo since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":74,"required_for_auto_install":true,"detail":"filesystem or document access, database access","evidence":["Network access: medium","Filesystem access: medium","Database 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/agentscope-ai-bootstrap/evals","api":"/api/agent/evals?slug=agentscope-ai-bootstrap","text":"/api/agent/evals?slug=agentscope-ai-bootstrap&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"agentscope-ai-bootstrap","name":"bootstrap","description":"Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation.","category":"design-creative","url":"https://www.openagentskill.com/skills/agentscope-ai-bootstrap","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","github_repo":"agentscope-ai/OpenJudge"},"suited_tasks":["Browser automation workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate pages","Click and type safely","Check visual and DOM state","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add agentscope-ai-bootstrap"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bootstrap\" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap. 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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 \"bootstrap\" as a Claude Code skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap. 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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 \"bootstrap\" from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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/agentscope-ai-bootstrap/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-bootstrap"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"816 GitHub stars","repoActivity":"816 stars, 65 forks","lastPushed":"1mo since push","license":"Apache-2.0","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","install":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database access","documentation":"Strong README/SKILL.md context","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":["design-creative","agent-skill"],"known_risks":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"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":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Design and creative production","scenario":"Design and creative","maintenance":"1mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","No OpenAgentSkill engagement data yet","Quality score needs 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"],"agent_contract":{"task_input":"Use bootstrap in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"agentscope-ai-bootstrap (bootstrap)","install_command":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","risk_summary":"Needs review; Reviewed with permission notes; 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":"agentscope-ai-bootstrap","task":"Use bootstrap 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/agentscope-ai-bootstrap","api":"https://www.openagentskill.com/api/agent/skills/agentscope-ai-bootstrap","audit":"https://www.openagentskill.com/skills/agentscope-ai-bootstrap/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=agentscope-ai-bootstrap&task=Use%20bootstrap%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bootstrap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bootstrap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/agentscope-ai-bootstrap/install","manifest":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-bootstrap"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"agentscope-ai-bootstrap","name":"bootstrap","description":"Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation.","category":"design-creative","url":"https://www.openagentskill.com/skills/agentscope-ai-bootstrap","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","github_repo":"agentscope-ai/OpenJudge"},"suited_tasks":["Browser automation workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate pages","Click and type safely","Check visual and DOM state","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add agentscope-ai-bootstrap"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bootstrap\" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap. 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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 \"bootstrap\" as a Claude Code skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap. 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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 \"bootstrap\" from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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/agentscope-ai-bootstrap/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-bootstrap"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"816 GitHub stars","repoActivity":"816 stars, 65 forks","lastPushed":"1mo since push","license":"Apache-2.0","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","install":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database access","documentation":"Strong README/SKILL.md context","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":["design-creative","agent-skill"],"known_risks":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"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":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Design and creative production","scenario":"Design and creative","maintenance":"1mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","No OpenAgentSkill engagement data yet","Quality score needs 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"],"agent_contract":{"task_input":"Use bootstrap in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"agentscope-ai-bootstrap (bootstrap)","install_command":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","risk_summary":"Needs review; Reviewed with permission notes; 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":"agentscope-ai-bootstrap","task":"Use bootstrap 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/agentscope-ai-bootstrap","api":"https://www.openagentskill.com/api/agent/skills/agentscope-ai-bootstrap","audit":"https://www.openagentskill.com/skills/agentscope-ai-bootstrap/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=agentscope-ai-bootstrap&task=Use%20bootstrap%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bootstrap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bootstrap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/agentscope-ai-bootstrap/install","manifest":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-bootstrap"}},"supply_profile":{"track":{"slug":"design","label":"Design and creative production","shortLabel":"Design","description":"Design assets, images, video, audio, multimodal media, presentation, and creative production skills."},"scenario":{"label":"Design and creative","description":"I need my agent to produce design assets, UI directions, presentations, or creative media workflows.","useCases":[{"slug":"browser-automation","title":"Browser automation"},{"slug":"research-agents","title":"Research agents"},{"slug":"testing-qa","title":"Testing and QA"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":816,"starsLabel":"816","forks":65,"license":"Apache-2.0","qualityScore":70,"trustScore":76,"auditScore":78},"maintenance":{"status":"active","label":"1mo since push","daysSincePush":35,"lastPushedAt":"2026-08-03T13:42:53+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review","Needs review"]},"coverageTags":["Design","Design and creative","design-creative","agent-skill"]},"audit":{"audit_score":78,"risk_level":"needs_review","risk_label":"Needs review","quality_score":70,"trust_score":76,"maintenance_score":88,"security_score":80,"install_score":92,"warnings":["The SKILL.md content appears truncated at the end (Step 5: Output Roadmap is incomplete). The provided excerpt ends abruptly with 'The v0' and lacks the full roadmap details.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":20.39,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":12},"platforms":["Claude Code","OpenAI Agents"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"}],"install":"npx skills add agentscope-ai/OpenJudge --skill bootstrap","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add agentscope-ai-bootstrap","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 \"bootstrap\" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap. 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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 \"bootstrap\" as a Claude Code skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap. 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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 \"bootstrap\" from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap 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: Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation. 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\":\"agentscope-ai-bootstrap\",\"task\":\"Install bootstrap\",\"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/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","github_repo":"agentscope-ai/OpenJudge","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/agentscope-ai-bootstrap","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/08-bootstrap","api":"/api/agent/skills/agentscope-ai-bootstrap","install_api":"/api/skills/agentscope-ai-bootstrap/install"},"meta":{"created_at":"2026-09-05T01:11:52.505532+00:00","updated_at":"2026-09-05T01:11:52.558457+00:00","agent_friendly":true}}