Daily PapersSAFE

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: daily-papers
description: "Daily arXiv paper recommendations with automatic deduplication"
---

# daily-papers

Search arXiv for the latest papers relevant to the user's research interests.

Invoke as `/daily-papers` in Claude Code or `$daily-papers` in Codex.

## Behavior

1. Ask the user for topics if not provided (or use defaults from config)
2. Search arXiv for papers published in the last 1-3 days
3. Check against previously recommended papers (dedup)
4. Rank by relevance to the user's research
5. For top 5: provide detailed analysis (motivation, method, key results, insights)
6. For next 5: provide brief summaries
7. Save recommendations to a dated markdown file

## Deduplication

Maintain a list of previously recommended paper IDs. Never recommend the same paper twice.

## Output Format

```markdown
# Daily Paper Recommendations — YYYY-MM-DD

## Top Picks (Detailed)

### 1. [Paper Title](arxiv_url)
**Authors**: ...
**Relevance**: Why this matters for your research
**Motivation**: What problem they solve
**Method**: Key technical approach
**Results**: Main findings
**Insight**: What you can learn from this

### 2. ...

## Also Worth Reading

### 6. [Paper Title](arxiv_url) — One-line summary
...
```

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.