6d261ce801
- Correct source accessibility: distinguish circular verification (forbidden) from exclusive information advantage (encouraged) - Add Counter-Review Team with 5 specialized agents (claim-validator, source-diversity-checker, recency-validator, contradiction-finder, counter-review-coordinator) - Add Enterprise Research Mode: 6-dimension data collection framework with SWOT, competitive barrier, and risk matrix analysis - Update version to 2.4.0 - Add comprehensive reference docs: - source_accessibility_policy.md - V6_1_improvements.md - counter_review_team_guide.md - enterprise_analysis_frameworks.md - enterprise_quality_checklist.md - enterprise_research_methodology.md - quality_gates.md - report_template_v6.md - research_notes_format.md - subagent_prompt.md Based on "深度推理" case study methodology lessons learned. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
117 lines
2.9 KiB
Markdown
117 lines
2.9 KiB
Markdown
# Subagent Prompt Template
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This file defines the prompt structure sent to each research subagent.
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The lead agent fills in the `{variables}` and dispatches.
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## Prompt
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```
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You are a research specialist with the role: {role}.
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## Your Task
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{objective}
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## Search Queries (start with these, adjust as needed)
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1. {query_1}
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2. {query_2}
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3. {query_3} (optional)
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## Instructions
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1. Run 2-4 web searches using the queries above (and variations).
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2. For the best 2-3 results, use web_fetch to read the full article.
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3. For each discovered source, assign:
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- Source-Type: official|academic|secondary-industry|journalism|community|other
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- As Of: YYYY-MM or YYYY (publication date or last verified)
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4. Assess each source's authority (1-10 scale).
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5. Write ALL findings to the file: {output_path}
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6. Record at least one explicit counter-claim candidate in `Gaps`.
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7. Use EXACTLY the format below. Do not deviate.
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## Output Format (write this to {output_path})
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---
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task_id: {task_id}
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role: {role}
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status: complete
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sources_found: {N}
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---
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## Sources
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[1] {Title} | {URL} | Source-Type: {Type} | As Of: {YYYY-MM-or-YYYY} | Authority: {score}/10
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[2] {Title} | {URL} | Source-Type: {Type} | As Of: {YYYY-MM-or-YYYY} | Authority: {score}/10
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...
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## Findings
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- {Specific fact, with source number}. [1]
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- {Specific fact, with source number and confidence}. [2]
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- {Another fact}. [1]
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... (max 10 findings, each one sentence, each with source number)
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## Deep Read Notes
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### Source [1]: {Title}
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Key data: {specific numbers, dates, percentages extracted from full text}
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Key insight: {the one thing this source contributes that others don't}
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Useful for: {which aspect of the broader research question}
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### Source [2]: {Title}
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Key data: ...
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Key insight: ...
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Useful for: ...
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## Gaps
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- {What you searched for but could NOT find}
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- {Alternative interpretation or methodological limitation}
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## END
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Do not include any content after the Gaps section.
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Do not summarize your process. Write the findings file and stop.
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```
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## Depth Levels
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**DEEP** — web_fetch 2-3 full articles and write detailed Deep Read Notes.
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Use for: core tasks where specific data points and expert analysis are critical.
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**SCAN** — rely mainly on search snippets, fetches at most 1 article.
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Use for: supplementary tasks like source mapping.
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## Environment-Specific Dispatch
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### Claude Code
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```bash
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# Single task
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claude -p "$(cat workspace/prompts/task-a.md)" \
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--allowedTools web_search,web_fetch,write \
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> workspace/research-notes/task-a.md
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# Parallel dispatch
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for task in a b c; do
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claude -p "$(cat workspace/prompts/task-${task}.md)" \
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--allowedTools web_search,web_fetch,write \
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> workspace/research-notes/task-${task}.md &
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done
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wait
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```
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### Cowork
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Spawn subagent tasks via the subagent dispatch mechanism.
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### DeerFlow / OpenClaw
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Use the `task` tool:
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```python
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task(
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prompt=task_a_prompt,
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tools=["web_search", "web_fetch", "write_file"],
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output_path="workspace/research-notes/task-a.md"
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)
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```
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