🌍 OpenClaw Think-Tank Intelligence — 技能工具
v0.3.2OpenClaw Think-Tank Intelligence for decision-ready geopolitical and policy memos in minutes. Use for country risk, sanctions/trade exposure, security trend...
详细分析 ▾
运行时依赖
版本
Improved execution clarity: added best-fit/not-for boundaries and a 60-second preflight gate for safer, decision-focused analysis runs.
安装命令 点击复制
技能文档
Produce structured geopolitical, strategic, and policy analysis in a clear think-tank style.
Use this skill to turn complex international, security, and policy questions into decision-useful outputs with explicit assumptions, confidence labels, alternative hypotheses, and practical recommendations.
Best for
- Country and regional risk assessments
- Sanctions/trade exposure analysis for policy or business decisions
- Scenario planning and red-team challenge before high-stakes moves
Not for
- Operational military/security instructions
- Claims that require classified or non-public intelligence
- Deterministic forecasting presented as certainty
60-second preflight
Before deep analysis, confirm:
- scope (topic/theater/time horizon),
- decision audience,
- decision window,
- evidence access status,
- required output mode (brief/report/risk/scenarios/red-team/json).
Ask only blocking questions.
Quick Start
Install:
clawhub install global-think-tank-analyst
Run:
think-tank Analyze US-China tech decoupling risks 2026-2030
think-tank --scenarios Arctic resource competition under climate change 2027-2035
think-tank --red-team Russian hybrid tactics in Eastern Europe
Modes
think-tank [topic]
think-tank --report [topic]
think-tank --risk [topic]
think-tank --scenarios [topic] [timeframe]
think-tank --horizon [topic] [timeframe]
think-tank --red-team [claim or policy]
think-tank --json [topic]
Core Rules
- Separate sourced facts from expert judgment.
- Mark uncertainty explicitly.
- State key assumptions in deep analysis.
- Include at least one alternative hypothesis when ambiguity is high.
- Use a red-team lens to challenge main conclusions.
- Avoid deterministic language in fast-moving environments.
- Recommend expert review for crisis or high-stakes decisions.
- Do not present speculation as fact.
Decision-Grade Additions (standard/deep mode)
- Add numeric ranges for key impact variables (price, growth, inflation, trade, fiscal effects) when relevant.
- Include a compact Evidence Note with 2-6 external sources and timestamp (YYYY-MM-DD), or explicitly mark source access limits.
- Add Go/No-Go (or Trigger/No-Trigger) criteria with thresholds and dates for decision checkpoints.
- End with a 1-2 week validation plan: what to monitor, who should verify, and what would falsify the base case.
Evidence Safety Guardrails (mandatory)
- Never fabricate sources, URLs, dates, or quotes.
- If external evidence access is unavailable, explicitly output
EVIDENCE_ACCESS_LIMITEDand switch to scenario/hypothesis mode. - Label key claims as
verified,inferred, orunknown. - Separate facts from inference in the final memo.
- Downgrade confidence when verification is incomplete.
Confidence Labels
- High: well-supported and relatively stable
- Medium: plausible but contested or incomplete
- Low: weakly supported or rapidly changing
- Speculative: forward-looking inference with limited evidence
Framework Selection
Choose the minimum frameworks needed for the task:
- PESTLE: macro context and structural drivers
- Stakeholder analysis: multi-actor dynamics
- Power mapping: leverage and power balance
- Scenario planning: high uncertainty
- SAT methods: ambiguity, bias, politicization
- SWOT: one actor, policy, or institution
- Cross-impact: second-order effects and cascades
Workflow
- Parse the request: topic, theater, horizon, actors, user objective, mode, depth.
- Frame the question: core question, boundaries, decision context, uncertainties.
- Select frameworks: only what is needed.
- Build the analysis: drivers, actors, incentives, constraints, risks, second-order effects.
- Stress-test: assumptions, underweighted actors, breaking triggers, falsification evidence.
- Deliver: findings, risks, options, recommendations, confidence, indicators.
Advanced Playbooks (vNext)
Use these references when quality bar is high or stakes are material:
- Subagent orchestration:
references/subagent-orchestration.md - Confidence scoring rubric:
references/confidence-rubric.md - Regression/eval gate:
references/eval-pack.md - Enterprise architecture:
references/enterprise-v1-blueprint.md - Evidence layer spec:
references/evidence-layer-spec.md - Source policy and provenance:
references/source-policy-and-provenance.md - Governance and audit:
references/governance-and-audit.md
Output Formats
Executive Policy Brief
- Executive Summary
- Key Findings
- Main Risks
- Policy or Strategy Options
- Recommendations
- Confidence and Assumptions
Full Strategic Report
- Executive Summary
- Situation Overview
- Context Scan
- Key Actors and Power Map
- Strategic Drivers
- Risk Matrix
- Scenario Analysis
- Alternative Hypotheses
- Policy Options
- Recommendations
- Indicators to Watch
- Confidence and Caveats
Risk Assessment
- Risk Overview
- Risk Matrix
- Trigger Conditions
- Impact Pathways
- Mitigation Options
- Indicators to Watch
Red-Team Memo
- Target Claim or Strategy
- Hidden Assumptions
- Competing Hypotheses
- Failure Modes
- Adversary Perspective
- Revised Assessment
Standard Output Template
# [Title]Executive Summary
[Concise synthesis]Situation Overview
[Current context]Strategic Drivers
- Driver 1
- Driver 2
- Driver 3
Key Actors
| Actor | Interests | Capabilities | Constraints | Likely Behavior |Risk Matrix
| Risk | Likelihood | Impact | Time Horizon | Notes |Scenarios
Baseline
Optimistic
Pessimistic
Wildcard
Options
- Option A
- Option B
- Option C
Recommendations
- Priority 1
- Priority 2
- Priority 3
Indicators to Watch
- Indicator 1
- Indicator 2
- Indicator 3
Confidence and Assumptions
- Confidence:
- Key assumptions:
- Alternative hypothesis:
Optional JSON Output
{
"query": "",
"mode": "brief",
"time_horizon": "",
"summary": "",
"drivers": [],
"pestle": {
"political": "",
"economic": "",
"social": "",
"technological": "",
"legal": "",
"environmental": ""
},
"stakeholders": [
{
"name": "",
"interests": "",
"capabilities": "",
"constraints": "",
"power": "high",
"position": "mixed"
}
],
"risks": [
{
"name": "",
"likelihood": "medium",
"impact": "high",
"time_horizon": "",
"notes": ""
}
],
"scenarios": [
{
"name": "Baseline",
"description": "",
"drivers": [],
"indicators": [],
"confidence": "medium"
}
],
"policy_options": [],
"recommendations": [],
"assumptions": [],
"alternative_hypotheses": [],
"confidence": "medium"
}
Limits
This skill does not:
- replace classified, field, or government intelligence
- guarantee forecasting accuracy
- justify advocacy framed as analysis
- remove the need for expert review in crisis decisions
If evidence is thin, keep output concise rather than padded.
免费技能或插件可能存在安全风险,如需更匹配、更安全的方案,建议联系付费定制