Borrowing it
Nothing to install: this file belongs to metabase/repro-bot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/metabase/repro-bot/main/.claude/commands/auto-improve.mdgit clone --depth 1 https://github.com/metabase/repro-botWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/metabase/repro-bot/auto-improve)<a href="https://agentmods.dev/commands/metabase/repro-bot/auto-improve"><img src="https://agentmods.dev/badge/commands/metabase/repro-bot/auto-improve/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/metabase/repro-bot/auto-improve"><img src="https://agentmods.dev/badge/commands/metabase/repro-bot/auto-improve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00653 |
| Opus 5.5 | $0.00000 | $0.00261 |
| Sonnet 5.5 | $0.00000 | $0.00131 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
auto-improve scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/auto-improve - Make Future Repros Better
Analyze past reproduction runs and implement concrete improvements to the repro workflow.
Step 1: Gather Input from SUGGESTIONS.md Files
Glob for repro/*/SUGGESTIONS.md and read all of them. These are the structured output from Phase 8 of each repro run — already distilled and actionable.
Do NOT read raw transcripts (.jsonl). SUGGESTIONS.md already extracts the signal. Only reference transcripts if a specific SUGGESTIONS.md item is unclear and needs more context.
Step 2: Categorize Findings
Sort each suggestion into one of these buckets:
| Category | Files affected | Examples |
|---|---|---|
| MCP server bugs/improvements | mcp/metabase_repro/*.py |
Tool errors, missing params, bad defaults, unhelpful error messages |
| Prompt/command improvements | .claude/commands/repro.md |
Missing steps, unclear instructions, wrong ordering, missing edge cases |
| CLAUDE.md knowledge gaps | CLAUDE.md |
Facts Claude should know but doesn't (e.g., H2 timezone limits, version tag formats, socket REPL vs nREPL) |
| New MCP tools needed | mcp/metabase_repro/*.py, mcp/metabase_repro/server.py |
Functionality gaps that cause fallback to raw Bash commands |
| Permission/workflow issues | Various | Actions that trigger unnecessary user prompts, sandbox violations |
| Memory updates | memory/*.md |
Stable patterns or lessons learned that should persist across sessions |
Step 3: Deduplicate and Prioritize
- Count how many runs hit the same issue (look for similar suggestions across different SUGGESTIONS.md files)
- Estimate token waste per occurrence (e.g., a retry loop wastes ~500 tokens each time; reading a huge file wastes thousands)
- Rank by:
frequency × waste per occurrence - Focus on the top items — don't try to fix everything in one pass
Step 4: Enter Plan Mode
Enter plan mode and present a concrete implementation plan:
- Group changes by file
- Include specific code snippets or text additions (not vague descriptions)
- Include verification steps (how to confirm each change works)
- Call out any changes that might affect existing repro behavior
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 56 lines · 0 tokens per session scan A 55afcade15df
auto-improve is a command published in the GitHub repository metabase/repro-bot (11 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 653 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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