{"slug":"brycewang-stanford-research-grants","name":"research-grants","description":"Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.","long_description":"---\nname: research-grants\ndescription: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.\nallowed-tools: Read Write Edit Bash\nlicense: MIT license\nmetadata:\n skill-author: K-Dense Inc.\n---\n\n\n\n# Research Grant Writing\n\n## Overview\n\nResearch grant writing is the process of developing competitive funding proposals for federal agencies and foundations. Master agency-specific requirements, review criteria, narrative structure, budget preparation, and compliance for NSF (National Science Foundation), NIH (National Institutes of Health), DOE (Department of Energy), DARPA (Defense Advanced Research Projects Agency), and Taiwan's NSTC (National Science and Technology Council) submissions.\n\n**Critical Principle: Grants are persuasive documents that must simultaneously demonstrate scientific rigor, innovation, feasibility, and broader impact.** Each agency has distinct priorities, review criteria, formatting requirements, and strategic goals that must be addressed.\n\n## When to Use This Skill\n\nThis skill should be used when:\n- Writing research proposals for NSF, NIH, DOE, DARPA, or NSTC programs\n- Preparing project descriptions, specific aims, or technical narratives\n- Developing broader impacts or significance statements\n- Creating research timelines and milestone plans\n- Preparing budget justifications and personnel allocation plans\n- Responding to program solicitations or funding announcements\n- Addressing reviewer comments in resubmissions\n- Planning multi-institutional collaborative proposals\n- Writing preliminary data or feasibility sections\n- Preparing biosketches, CVs, or facilities descriptions\n\n## Visual Enhancement with Scientific Schematics\n\n**⚠️ MANDATORY: Every research grant proposal MUST include at least 1-2 AI-generated figures using the scientific-schematics skill.**\n\nThis is not optional. Grant proposals without visual elements are incomplete and less competitive. Before finalizing any document:\n1. Generate at minimum ONE schematic or diagram (e.g., project timeline, methodology flowchart, or conceptual framework)\n2. Prefer 2-3 figures for comprehensive proposals (research workflow, Gantt chart, preliminary data visualization)\n\n**How to generate figures:**\n- Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams\n- Simply describe your desired diagram in natural language\n- Nano Banana Pro will automatically generate, review, and refine the schematic\n\n**How to generate schematics:**\n```bash\npython scripts/generate_schematic.py \"your diagram description\" -o figures/output.png\n```\n\nThe AI will automatically:\n- Create publication-quality images with proper formatting\n- Review and refine through multiple iterations\n- Ensure accessibility (colorblind-friendly, high contrast)\n- Save outputs in the figures/ directory\n\n**When to add schematics:**\n- Research methodology and workflow diagrams\n- Project timeline Gantt charts\n- Conceptual framework illustrations\n- System architecture diagrams (for technical proposals)\n- Experimental design flowcharts\n- Broader impacts activity diagrams\n- Collaboration network diagrams\n- Any complex concept that benefits from visualization\n\nFor detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.\n\n---\n\n## Agency-Specific Overview\n\n### NSF (National Science Foundation)\n**Mission**: Promote the progress of science and advance national health, prosperity, and welfare\n\n**Key Features**:\n- Intellectual Merit + Broader Impacts (equally weighted)\n- 15-page project description limit (most programs)\n- Emphasis on education, diversity, and societal benefit\n- Collaborative research encouraged\n- Open data and open science emphasis\n- Merit review process with panel + ad hoc reviewers\n\n### NIH (National Institutes of Health)\n**Mission**: Enhance health, lengthen life, and reduce illness and disability\n\n**Key Features**:\n- Specific Aims (1 page) + Research Strategy (12 pages for R01)\n- Significance, Innovation, Approach as core review criteria\n- Preliminary data typically required for R01s\n- Emphasis on rigor, reproducibility, and clinical relevance\n- Modular budgets ($250K increments) for most R01s\n- Multiple resubmission opportunities\n\n### DOE (Department of Energy)\n**Mission**: Ensure America's security and prosperity through energy, environmental, and nuclear challenges\n\n**Key Features**:\n- Focus on energy, climate, computational science, basic energy sciences\n- Often requires cost sharing or industry partnerships\n- Emphasis on national laboratory collaboration\n- Strong computational and experimental integration\n- Energy innovation and commercialization pathways\n- Varies by office (ARPA-E, Office of Science, EERE, etc.)\n\n### DARPA (Defense Advanced Research Projects Agency)\n**Mission**: Make pivotal investments in breakthrough technologies for national security\n\n**Key Features**:\n- High-risk, high-reward transformative research\n- Focus on \"DARPA-hard\" problems (what if true, who cares)\n- Emphasis on prototypes, demonstrations, and transition paths\n- Often requires multiple phases (feasibility, development, demonstration)\n- Strong project management and milestone tracking\n- Teaming and collaboration often required\n- Varies dramatically by program manager and BAA (Broad Agency Announcement)\n\n### NSTC (National Science and Technology Council - Taiwan)\n**Mission**: Advance scientific breakthrough, industrial application, and societal impact in Taiwan.\n\n**Key Features**:\n- **CM03 Form**: The core technical proposal format.\n- **Bilingual**: Abstract required in both Chinese and English.\n- **Innovation & Feasibility**: Primary review focus.\n- **Preliminary Data**: Highly critical for credibility.\n- **Research Architecture Diagram**: A mandatory visual element for clarity.\n\n## Core Components of Research Proposals\n\n### 1. Executive Summary / Project Summary / Abstract\n\nEvery proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.\n\n**Purpose**: Provide a standalone summary that captures the research vision, significance, and approach\n\n**Length**: \n- NSF: 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts)\n- NIH: 30 lines (Project Summary/Abstract)\n- DOE: Varies (typically 1 page)\n- DARPA: Varies (often 1-2 pages)\n\n**Essential Elements**:\n- Clear statement of the problem or research question\n- Why this problem matters (significance, urgency, impact)\n- Novel approach or innovation\n- Expected outcomes and deliverables\n- Qualifications of the team\n- Broader impacts or translational pathway\n\n**Writing Strategy**:\n- Open with a compelling hook that establishes importance\n- Use accessible language (avoid jargon in opening sentences)\n- State specific, measurable objectives\n- Convey enthusiasm and confidence\n- Ensure every sentence adds value (no filler)\n- End with transformative vision or impact statement\n\n**Common Mistakes to Avoid**:\n- Being too technical or detailed (save for project description)\n- Failing to articulate \"why now\" or \"why this team\"\n- Vague objectives or outcomes\n- Neglecting broader impacts or significance\n- Generic statements that could apply to any proposal\n\n### 2. Project Description / Research Strategy\n\nThe core technical narrative that presents the research plan in detail.\n\n**Structure Varies by Agency:**\n\n**NSF Project Description** (typically 15 pages):\n- Introduction and background\n- Research objectives and questions\n- Preliminary results (if applicable)\n- Research plan and methodology\n- Timeline and milestones\n- Broader impacts (integrated throughout or separate section)\n- Prior NSF support (if applicable)\n\n**NIH Research Strategy** (12 pages for R01):\n- Significance (why the problem matters)\n- Innovation (what's novel and transformative)\n- Approach (detailed research plan)\n - Preliminary data\n - Research design and methods\n - Expected outcomes\n - Potential problems and alternative approaches\n\n**DOE Project Narrative** (varies):\n- Background and significance\n- Technical approach and innovation\n- Qualifications and experience\n- Facilities and resources\n- Project management and timeline\n\n**DARPA Technical Volume** (varies):\n- Technical challenge and innovation\n- Approach and methodology\n- Schedule and milestones\n- Deliverables and metrics\n- Team qualifications\n- Risk assessment and mitigation\n\nFor detailed agency-specific guidance, refer to:\n- `references/nsf_guidelines.md`\n- `references/nih_guidelines.md`\n- `references/doe_guidelines.md`\n- `references/darpa_guidelines.md`\n- `references/nstc_guidelines.md`\n\n### 3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)\n\nClear, testable goals that structure the research plan.\n\n**NIH Specific Aims Page** (1 page):\n- Opening paragraph: Gap in knowledge and significance\n- Long-term goal and immediate objectives\n- Central hypothesis or research question\n- 2-4 specific aims with sub-aims\n- Expected outcomes and impact\n- Payoff paragraph: Why this matters\n\n**Structure for Each Aim:**\n- Aim statement (1-2 sentences, starts with action verb)\n- Rationale (why this aim, preliminary data support)\n- Working hypothesis (testable prediction)\n- Approach summary (brief methods overview)\n- Expected outcomes and interpretation\n\n**Writing Strategy**:\n- Make aims independent but complementary\n- Ensure each aim is achievable within timeline and budget\n- Provide enough detail to judge feasibility\n- Include contingency plans or alternative approaches\n- Use parallel structure across aims\n- Clearly state what will be learned from each aim\n\nFor detailed guidance, refer to `references/specific_aims_guide.md`.\n\n### 4. Broader Impacts (NSF) / Significance (NIH)\n\nArticulate the societal, educational, or translational value of the research.\n\n**NSF Broader Impacts** (critical component, equal weight with Intellectual Merit):\n\nNSF explicitly evaluates broader impacts. Address at least one of these areas:\n1. **Advancing discovery and understanding while promoting teaching, training, and learning**\n - Integration of research and education\n - Training of students and postdocs\n - Curriculum development\n - Educational materials and resources\n\n2. **Broadening participation of underrepresented groups**\n - Recruitment and retention strategies\n - Partnerships with minority-serving institutions\n - Outreach to underrepresented communities\n - Mentoring programs\n\n3. **Enhancing infrastructure for research and education**\n - Shared facilities or instrumentation\n - Cyberinfrastructure and data resources\n - Community-wide tools or databases\n - Open-source software or methods\n\n4. **Broad dissemination to enhance scientific and technological understanding**\n - Public outreach and science communication\n - K-12 educational programs\n - Museum exhibits or media engagement\n - Policy briefs or stakeholder engagement\n\n5. **Benefits to society**\n - Economic impact or commercialization\n - Health, environment, or national security benefits\n - Informed decision-making\n - Workforce development\n\n**Writing Strategy for NSF Broader Impacts**:\n- Be specific with concrete activities, not vague statements\n- Provide timeline and milestones for broader impacts activities\n- Explain how impacts will be measured and assessed\n- Connect to institutional resources and existing programs\n","tagline":"Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.","category":"security","tags":["agent-skill"],"author":"brycewang-stanford","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"brycewang-stanford/Auto-Empirical-Research-Skills","creatorName":"brycewang-stanford","creatorUrl":"https://github.com/brycewang-stanford","sourceUrl":"https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/brycewang-stanford-research-grants#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":3658,"forks":468,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":48.49},"quality":{"score":83,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"3.7K","tone":"positive"},{"label":"Freshness","value":"2d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT license","tone":"neutral"}],"warnings":["The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described."]},"trust":{"version":"trust-score-v5","score":65,"base_score":73,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["65/100 Trust Score v5","73/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"3.7K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"3.7K stars, 468 forks; 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Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.","category":"security","url":"https://www.openagentskill.com/skills/brycewang-stanford-research-grants","repository":"https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants","github_repo":"brycewang-stanford/Auto-Empirical-Research-Skills"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","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 brycewang-stanford-research-grants"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"research-grants\" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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 \"research-grants\" as a Claude Code skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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 \"research-grants\" from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":83,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d 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 references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill does not explicitly state limitations or scenarios where it should not be used, though this is minor."],"agent_contract":{"task_input":"Use research-grants in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 50/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"brycewang-stanford-research-grants (research-grants)","install_command":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"brycewang-stanford-research-grants","task":"Use research-grants 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/brycewang-stanford-research-grants","api":"https://www.openagentskill.com/api/agent/skills/brycewang-stanford-research-grants","audit":"https://www.openagentskill.com/skills/brycewang-stanford-research-grants/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=brycewang-stanford-research-grants&task=Use%20research-grants%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20research-grants%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20research-grants%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install","manifest":"https://www.openagentskill.com/api/registry/manifest/brycewang-stanford-research-grants"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"brycewang-stanford-research-grants","name":"research-grants","description":"Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.","category":"security","url":"https://www.openagentskill.com/skills/brycewang-stanford-research-grants","repository":"https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants","github_repo":"brycewang-stanford/Auto-Empirical-Research-Skills"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","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 brycewang-stanford-research-grants"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"research-grants\" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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 \"research-grants\" as a Claude Code skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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 \"research-grants\" from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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/brycewang-stanford-research-grants/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/brycewang-stanford-research-grants"},"trust":{"score":73,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"3.7K GitHub stars","repoActivity":"3.7K stars, 468 forks","lastPushed":"2d since push","license":"MIT license","repository":"https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants","install":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["security","agent-skill"],"known_risks":["The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"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":82,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.","The skill does not explicitly state limitations or scenarios where it should not be used, though this is minor.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":83,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d 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 references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill does not explicitly state limitations or scenarios where it should not be used, though this is minor."],"agent_contract":{"task_input":"Use research-grants in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 50/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"brycewang-stanford-research-grants (research-grants)","install_command":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"brycewang-stanford-research-grants","task":"Use research-grants 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/brycewang-stanford-research-grants","api":"https://www.openagentskill.com/api/agent/skills/brycewang-stanford-research-grants","audit":"https://www.openagentskill.com/skills/brycewang-stanford-research-grants/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=brycewang-stanford-research-grants&task=Use%20research-grants%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20research-grants%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20research-grants%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install","manifest":"https://www.openagentskill.com/api/registry/manifest/brycewang-stanford-research-grants"}},"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":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"research-agents","title":"Research agents"},{"slug":"github-automation","title":"GitHub automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":3658,"starsLabel":"3.7K","forks":468,"license":"MIT license","qualityScore":83,"trustScore":73,"auditScore":82},"maintenance":{"status":"fresh","label":"2d since push","daysSincePush":2,"lastPushedAt":"2026-09-02T14:54:36+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.","The skill does not explicitly state limitations or scenarios where it should not be used, though this is minor.","Financial research output is not financial advice; require human review before any live investment decision."]},"coverageTags":["Research","RAG and knowledge","security","agent-skill"]},"audit":{"audit_score":82,"risk_level":"needs_review","risk_label":"Needs review","quality_score":83,"trust_score":73,"maintenance_score":100,"security_score":77,"install_score":92,"warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.","The skill does not explicitly state limitations or scenarios where it should not be used, though this is minor.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":24.94,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"multimodal-media","title":"Multimodal media","url":"https://www.openagentskill.com/use-cases/multimodal-media"}],"stacks":[{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"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"}],"install":"npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants","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 brycewang-stanford-research-grants","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 \"research-grants\" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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 \"research-grants\" as a Claude Code skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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 \"research-grants\" from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants 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: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"brycewang-stanford-research-grants\",\"task\":\"Install research-grants\",\"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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants","github_repo":"brycewang-stanford/Auto-Empirical-Research-Skills","version":"1.0.0","license":"MIT license","urls":{"web":"https://www.openagentskill.com/skills/brycewang-stanford-research-grants","repository":"https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants","api":"/api/agent/skills/brycewang-stanford-research-grants","install_api":"/api/skills/brycewang-stanford-research-grants/install"},"meta":{"created_at":"2026-09-02T20:11:28.310167+00:00","updated_at":"2026-09-02T20:11:28.387226+00:00","agent_friendly":true}}