bug-predictlisted
Install: claude install-skill Smart-AI-Memory/attune-ai
# Bug Prediction
**IMPORTANT: Start your response with a context preamble.**
Call `help_lookup(topic="bug-predict", mode="preamble")` and
display the returned `preamble` text as a blockquote. Then
tell the user they can say "tell me more" for a step-by-step
guide, or answer the scoping questions below to proceed.
If the MCP call fails, fall back to:
> **Bug Predict** — Predicts where bugs are most likely based on code patterns, complexity, and change frequency.
## Scoping
Before running, ask:
1. **Target path**: "Which files or directory should I
scan?" Default to `src/` if not specified.
2. **Severity filter**: "Show all findings, or only HIGH
severity?"
## Execution
Call the `bug_predict` MCP tool with the scoped path:
```
bug_predict(path="<user-specified path>")
```
Or via CLI:
```bash
uv run attune workflow run bug-predict --path <target>
```
### Shared command workspace (preferred)
When the generic command-workspace tools are available, open adapter
`bug-predict` with the validated target path and `all`/`high` severity filter.
The user's command invocation already authorizes this read-only scan: the
workspace enters running state immediately and has no confirmation action.
Run the existing `bug_predict` tool, publish optional `progress`, then publish
one `scan_result` carrying the real success flag, risk score, findings,
suggestions, or error. Present the terminal widget or its returned Markdown.
A failed run must render **did not complete**, never a