首页龙虾技能列表 › OpenClaw Think-Tank Intelligence — 技能工具

🌍 OpenClaw Think-Tank Intelligence — 技能工具

v0.3.2

OpenClaw Think-Tank Intelligence for decision-ready geopolitical and policy memos in minutes. Use for country risk, sanctions/trade exposure, security trend...

1· 497·0 当前·0 累计
by @vassiliylakhonin (Vasiliy)·MIT-0
下载技能包
License
MIT-0
最后更新
2026/4/12
安全扫描
VirusTotal
无害
查看报告
OpenClaw
安全
high confidence
The skill is an instruction-only, decision-analytics prompt package whose declared requirements, instructions, and scope align with its stated purpose and do not request unexpected system access or credentials.
评估建议
This appears coherent and instruction-only: it does not ask for credentials or install code. Before enabling, verify you trust the GitHub source (homepage) and decide whether you want the agent to have network access (the skill contemplates pulling/verifying external sources under 'Mode B'). For high-stakes decisions, enforce organizational controls: restrict autonomous execution if undesired, require human review of evidence blocks, and confirm the agent environment prevents unintended outbound...
详细分析 ▾
用途与能力
Name/description (geopolitical/policy memos) match the SKILL.md content and examples; no binaries, env vars, or unrelated capabilities are requested.
指令范围
Runtime instructions focus on analysis workflows, evidence guardrails (no fabricated sources, EVIDENCE_ACCESS_LIMITED), templates, and subagent orchestration; they do not instruct reading local system files, environment variables, or exfiltrating data to external endpoints.
安装机制
No install spec or code files are present (instruction-only). Nothing will be downloaded or written to disk by an installer in the skill package itself.
凭证需求
The skill declares no required environment variables, credentials, or config paths — appropriate for an instruction-only analysis/prompt skill.
持久化与权限
always is false and the skill does not request elevated or permanent presence or modify other skills; autonomous invocation remains the platform default and is not used as a negative signal here.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

🖥️ OSLinux · macOS · Windows

版本

latestv0.3.22026/3/10

Improved execution clarity: added best-fit/not-for boundaries and a 60-second preflight gate for safer, decision-focused analysis runs.

● 无害

安装命令 点击复制

官方npx clawhub@latest install global-think-tank-analyst
镜像加速npx clawhub@latest install global-think-tank-analyst --registry https://cn.clawhub-mirror.com

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_LIMITED and switch to scenario/hypothesis mode.
  • Label key claims as verified, inferred, or unknown.
  • 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.

数据来源:ClawHub ↗ · 中文优化:龙虾技能库
OpenClaw 技能定制 / 插件定制 / 私有工作流定制

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

了解定制服务