discovery-sweep · git:20260628.6d01298 · 2026-06-28 · sha256 75717f44d3a7aa89
discovery-sweep git:20260628.6d01298A
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--- name: discovery-sweep description: "Run every audit at once and triage the findings into act-now / needs-a-look / dismissed buckets. Triggers on: run all audits, full sweep, audit everything, what should I fix, triage findings, discovery sweep, sweep the codebase." argument-hint: "<path or directory to sweep>" --- # Discovery Sweep **IMPORTANT: Start your response with a context preamble.** Call `help_lookup(topic="discovery-sweep", 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: > **Discovery Sweep** — Fans out across every audit source > (pattern scan, bug-predict, security, dependencies, performance, > docs, tests), dedups overlapping findings, and triages everything > into three buckets so you know what to fix first. This is the aggregate "what should I fix?" pass. For a single focused audit, use the dedicated skill instead — `security-audit`, `bug-predict`, `code-quality`, or `deep-review`. ## Scoping Before running, ask: 1. **Target path**: "Which files or directory should I sweep?" Default to `src/` if not specified. 2. **Speed vs. depth**: "Fast pattern-only sweep, or include the LLM-backed sources?" (LLM sources cost budget; pattern-only is free and quick.) 3. **Budget**: only if including LLM sources — "Spend cap? Default is $10.00." ## Execution Call the `discovery_sweep` MCP tool with the scoped path: ``` discovery_sweep(path="<user-specified path>") ``` Optional knobs: ``` discovery_sweep(path="src/", no_llm=true) # fast, free discovery_sweep(path="src/", budget_usd=5.0) # cap LLM spend ``` Or via CLI: ```bash uv run attune workflow run discovery-sweep --path <target> ``` ## Output The tool returns three buckets (`queue` / `questions` / `rejected`), the run `metadata`, and a pre-rendered **`board_html`**. **Prefer the rich triage board.** Pass the response's `board_html` straight to `mcp__visualize__show_widget` — it renders the three buckets as a triage board (severity-coloured queue cards with `file:line` + source + confidence; questions with `reason`/`next_step`; rejected collapsed under a `<details>`; a footer with spend/budget, sources that ran, failures, and duration). The HTML is display-only and injection-safe (generated by `attune.workflows.discovery_sweep.board`). **Fall back to markdown** when the widget surface is unavailable — present each bucket as its own section: - **Queue** — table grouped by severity (critical first) with clickable file links. - **Questions** — each finding's `reason` and `next_step`. - **Rejected** — summarize the count; expand only if asked. Either way, close with the run metadata: spend vs. budget, sources that ran, any source failures, and duration.