learn

name	learn
description	Research a topic relevant to SWARM AI safety and grow the vault with findings. Queries external sources, synthesizes into claim candidates, follows the extraction pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find papers on".
user-invocable	true
allowed-tools	Read, Write, Glob, Bash, mcp__qmd__vector_search
context	fork

Runtime Configuration (Step 0)

Read vault/ops/derivation-manifest.md for research settings. Default research depth: deep (AI safety domain, from config).

---

EXECUTE NOW

Target: $ARGUMENTS

• If target is a topic: research that topic using available tools
• If target is empty: ask "What topic should I research?"

---

Learn

Research a topic and grow the SWARM knowledge graph with findings.

Research Priority Areas

Topics most likely to yield governance claims:

• Multi-agent mechanism design
• Distributional AI safety
• Collusion detection algorithms
• Adversarial robustness in cooperative systems
• Welfare economics in AI systems
• Network topology effects on agent behavior

Workflow

1. Formulate search queries — what specific aspect, what evidence would be decisive
2. Research using available tools — web search, arXiv, semantic scholar
3. Create inbox item — save research findings to runs/research-[topic]-[date].md
4. Run /extract on the file — process research into claim candidates
5. Run /cross-link — connect new claims to existing vault

Research File Format (in runs/)

---
description: Research findings on [topic]
source_type: research
research_prompt: "[the query used]"
generated: YYYY-MM-DD
---

# [Topic] — research findings

[Synthesized findings from sources]

## Sources

- [Author et al. Year — title](url)
- ...

After creating the research file, run /extract [path-to-file] to process it into claims.

Quality Gates for Research-Sourced Claims

Research-sourced claims have lower initial confidence until validated by SWARM experiments:

• Research finding → confidence: low until replicated in SWARM runs
• SWARM experiment confirms research → confidence: medium or high based on criteria
• Document the chain: external source → research note → claim → SWARM validation