← ClaudeAtlas

discovery-sweeplisted

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.
Smart-AI-Memory/attune-ai · ★ 10 · AI & Automation · score 72
Install: claude install-skill Smart-AI-Memory/attune-ai
# 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-