Progress ReportSAFE

🔥 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: progress-report
description: "Generate structured research progress reports"
---

# progress-report

Generate a structured progress report for the current research project.

Invoke as `/progress-report` in Claude Code or `$progress-report` in Codex.

## Behavior

1. Read the project's MEMORY_LOG.md for milestones and decisions
2. Check recent experiment logs in workspace
3. Compile results into a structured report

## Output Format

```markdown
# Progress Report — YYYY-MM-DD

## Current Status
- Best result: [metric]
- Total experiments: [N]
- Current direction: [description]

## Recent Experiments
| # | Config | Metric | Date | Notes |
|---|--------|--------|------|-------|

## Key Insights
- What we learned
- What works / doesn't work

## Next Steps
1. Planned experiments
2. Open questions

## Blockers
- Any issues or risks
```

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.