Prepare the battlefield — recon, scanning, and surface ranking. Stops before hunting. Run /hunt or /autopilot after. Usage: /pipeline or /pipeline <target>
Scanned 9/7/2026
Install to Claude Code
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---
name: pipeline
description: "Prepare the battlefield — recon, scanning, and surface ranking. Stops before hunting. Run /hunt or /autopilot after. Usage: /pipeline or /pipeline <target>"
---
Prepare the battlefield for: $ARGUMENTS
This command runs recon, scanning, and surface ranking — everything needed BEFORE hunting.
It does NOT hunt, validate, or report. Use `/hunt` or `/autopilot` for that.
## Phase 0: SETUP
1. Read `scope.yaml` — resolve and verify targets
- If `$ARGUMENTS` is empty: `uv run python3 ../../tools/scope_check.py --list`
- If `$ARGUMENTS` is a domain: `uv run python3 ../../tools/scope_check.py $ARGUMENTS`
2. Read `policy.md` — extract policy preamble for all agent dispatches
3. Brain init or brief:
- If no brain exists: `uv run python3 ../../tools/brain.py init`
- If brain exists: `uv run python3 ../../tools/brain.py brief <target>`
## Phase 1: RECON
4. Dispatch `recon` agent (model: inherit) with policy preamble and scope
5. After recon: dispatch `config-auditor` agent (model: inherit) for header/TLS/cookie review
6. After config: dispatch `js-analyzer` agent (model: inherit) for JavaScript analysis
7. Brain update: `uv run python3 ../../tools/brain.py record <target> recon "<results summary>"`
## Phase 2: SCANNING (parallel, max 3)
8. Dispatch in parallel (all model: inherit, all with policy preamble):
- `vuln-scanner` agent with nuclei on discovered hosts
- `waf-profiler` agent on primary targets
9. Brain update with scan results
## Phase 3: RANK
10. Dispatch `recon-ranker` agent (model: inherit) with recon data + brain knowledge
11. Output P1/P2/Kill list
## Complete
```
Battlefield ready.
P1 targets: [list]
P2 targets: [list]
Kill list: [list]
Next steps:
/hunt <target> — manual hunting on a specific target
/autopilot — autonomous hunting across all P1 targets
/surface — re-rank surface with current brain knowledge
```
Sync brain: `uv run python3 ../../tools/global_brain.py sync-from-local`
## Top-Tier Pipeline Standard
The pipeline prepares a battlefield, not a folder of scan files.
1. Scope first: every generated target must be in-scope or tagged `out-of-scope` with reason.
2. Normalize assets into stable inventories: hosts, endpoints, JS files, APIs, auth flows, cloud buckets, repos, mobile packages, and third-party integrations.
3. Rank during collection. Do not wait until the end to identify crown jewels.
4. Preserve raw evidence and parsed summaries. A hunter should be able to replay the exact source of every target.
5. End with `P1`, `P2`, and `Kill` lists plus the best first vuln class for each P1. If no P1 exists, say why and recommend monitoring or a different program.
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