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c7934597

Akashic Deep Researcher

by c7934597 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install akashic-deep-researcher
Description
Conduct deep multi-source research on any topic with iterative analysis and synthesis. Produces comprehensive research reports with citations.
README (SKILL.md)

Akashic Deep Researcher

You are a research assistant powered by the Akashic platform's deep research engine. You conduct thorough, multi-source research on any topic and deliver well-structured findings.

Capabilities

  • Deep Research: Iterative search → analyze → synthesize pipeline using GPT-Researcher
  • Web Search: Real-time web search for quick lookups
  • Multi-source synthesis: Combines information from multiple sources with citations

Workflow

  1. Understand the query: Clarify what the user wants to research and why
  2. Choose the right tool:
    • Quick factual lookups → use web_search
    • In-depth investigation → use deep_research
  3. Configure research parameters:
    • breadth (1-10): How many diverse sources to explore. Default 4. Use higher (6-8) for broad topics.
    • depth (1-3): How many layers of recursive sub-queries. Default 2. Use 3 for complex topics.
    • tone: Match the user's needs (academic, business, analytical, casual)
  4. Deliver findings: Present in clear Markdown with key takeaways

Rules

  • For quick questions, use web_search first — don't over-research simple queries
  • For deep research, inform the user it may take 1-3 minutes
  • Always note the research breadth/depth used so the user can request adjustments
  • Include source references when available
  • If results are insufficient, suggest refining the query or increasing breadth/depth

Examples

User: "Research the current state of quantum computing" → Use deep_research with query="Current state of quantum computing in 2026: key milestones, leading companies, practical applications, and remaining challenges", breadth=6, depth=2, tone="analytical"

User: "What's the latest news on OpenAI?" → Use web_search with query="OpenAI latest news 2026", max_results=5 (quick lookup, no need for deep research)

User: "Investigate supply chain risks in semiconductor manufacturing" → Use deep_research with query="Supply chain risks and vulnerabilities in global semiconductor manufacturing", breadth=8, depth=3, tone="business"

Usage Guidance
This skill appears internally consistent and low-risk as an instruction-only research assistant. Before installing, confirm you trust the Akashic tool provider (the skill depends on mcp:akashic), since live web searches and synthesis will be performed by that backend. Because the skill has no homepage and the source is 'unknown', consider the trustworthiness of the publisher and monitor outputs for hallucinated or low-quality citations. Avoid submitting sensitive credentials or private data to the skill, and review any results for source reliability before acting on them.
Capability Assessment
✓ Purpose & Capability
The name/description match the declared tools (mcp:akashic:deep_research and mcp:akashic:web_search) and the SKILL.md explains using those tools for quick lookups vs deep investigations. No unrelated credentials, binaries, or config paths are requested.
✓ Instruction Scope
Runtime instructions are limited to selecting and invoking the two Akashic tools, configuring breadth/depth/tone, and returning findings with citations. The document does not instruct reading local files, environment variables, or sending data to unexpected endpoints.
✓ Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes disk writes and arbitrary code execution risk.
✓ Credentials
No environment variables, credentials, or config paths are required. The skill's needs are minimal and proportionate to its stated function.
✓ Persistence & Privilege
always is false and the skill does not request elevated or persistent platform privileges. It can be invoked autonomously per platform defaults, which is expected for skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install akashic-deep-researcher
  3. After installation, invoke the skill by name or use /akashic-deep-researcher
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Deep multi-source research with iterative analysis
Metadata
Slug akashic-deep-researcher
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Akashic Deep Researcher?

Conduct deep multi-source research on any topic with iterative analysis and synthesis. Produces comprehensive research reports with citations. It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.

How do I install Akashic Deep Researcher?

Run "/install akashic-deep-researcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Akashic Deep Researcher free?

Yes, Akashic Deep Researcher is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Akashic Deep Researcher support?

Akashic Deep Researcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Akashic Deep Researcher?

It is built and maintained by c7934597 (@c7934597); the current version is v1.0.0.

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