Deep Explore Skill
SkillDev toolsMulti-wave parallel code exploration orchestrator. Use when: large-scale codebase research, understanding complex cross-domain systems, deep investigation needing multiple perspectives simultaneously. Not for: quick lookup (use code-explore), dual confirmation (use code-investigate), code review (use codex-code-review). Output: unified exploration report with completeness scoring.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Deep Explore Skill skill
What this skill tells your AI
The instructions your AI receives, as published by sd0xdev/sd0x-harness in skills/deep-explore/SKILL.md and read by ahel’s review.
Trigger
- Keywords: deep explore, large-scale research, multi-agent explore, codebase survey, parallel investigation, comprehensive research, deep dive multiple areas
When NOT to Use
| Scenario | Alternative |
|---|---|
| Quick single-area lookup | /code-explore |
| Dual Claude+Codex confirmation | /code-investigate |
| Git history tracking | /git-investigate |
| Code review | /codex-review-fast |
Workflow Overview
flowchart TD
A[Phase 0: Intent Analysis] --> B{Files > 25?}
B -->|No| C[Redirect to /code-explore]
B -->|Yes| D[Wave 1: Breadth]
D --> E[Gather + Claim Registry]
E --> F[Wave 2: Depth]
F --> G{Completeness Gate}
G -->|score >= 80 + no critical Qs| H[Report]
G -->|score < 80 OR critical Qs| I[Wave 3: Cross-cutting]
I --> H
Phase 0: Intent Analysis
- Parse user's research question
- Estimate scope:
Grepfor related keywords → count unique files - Routing guard: if estimated files <= 25, redirect to
/code-explore - Plan shards: identify 2-3 non-overlapping exploration areas
Shard Planning Strategy
| Priority | Method | When |
|---|---|---|
| 1 | User-specified areas (--areas) | User knows what to split |
| 2 | Domain-based clustering | Auto-detect service/provider/hooks/rules boundaries |
| 3 | Directory-based fallback | When domain boundaries unclear |
Output: ownership matrix (shard → files).
Wave 1: Breadth (Mandatory)
Fan-out 2-3 Explore agents in parallel. Each agent explores one shard.
Agent({
description: "Wave 1 Shard A: <area description>",
subagent_type: "Explore",
run_in_background: true,
prompt: <agent-prompt template from references/agent-prompt.md>
});
All agents dispatched in a single message (parallel). Wait for all to complete.
Agent Contract (80/20)
| Allocation | Scope | Limit |
|---|---|---|
| 80% | Primary assigned shard | Unlimited findings |
| 20% | Peripheral vision (security, edge cases, cross-cutting) | Max 2 peripheral findings |
Peripheral findings must be evidence-backed (file:line) and tagged: cross-cutting | security | reliability | operability.
Inter-Wave: Gather + Plan
After each wave, the orchestrator:
- Collect all agent results
- Build claim registry (see
references/synthesis.md) - Rank open questions by
impact × uncertainty - Build context packet for next wave
Context Packet (what to pass forward)
| Pass | Don't Pass |
|---|---|
| Evidence-backed facts (file:line) | Prior wave conclusions as truth |
| Open Qs ranked by impact × uncertainty | Narrative interpretations |
| Do-not-repeat ledger (explored files, executed queries) | Full raw findings dump |
| Contradiction list | Agent opinions without evidence |
Wave 2: Depth (Mandatory)
Focus on top hotspots from Wave 1, ranked by impact × uncertainty × blast_radius.
- 2-3 agents, each assigned one hotspot for deep dive
- Context packet from Wave 1 provided (facts + questions, not conclusions)
- Agents verify Wave 1 hypotheses independently
Completeness Gate
After Wave 2 (and Wave 3 if run), compute completeness score.
2-Signal Completeness Score
score = round(100 × (0.7 × (1 - novelty_rate) + 0.3 × is_zero(critical_open)))
Where:
novelty_rate = unique_new_findings / max(1, total_valid_findings)
critical_open = count(questions where impact=high AND uncertainty=high)
is_zero(x) = 1 if x == 0, else 0
Zero findings → novelty_rate = 0 → score = 70 (below threshold → continue).
Stop Conditions
| Condition | Action |
|---|---|
score >= 80 AND critical_open == 0 | Stop, output report |
score >= 80 AND critical_open > 0 | Wave 3 (if not yet run) |
Wave 3 done AND score < 80 | Stop with Inconclusive + next actions |
Hard-Fail Overrides (force continue)
- Unanswered critical user question
- High-severity contradiction unresolved
- Evidence missing for high-impact claim
Precedence (--waves is hard ceiling)
User --waves | Hard-fail active | Behavior |
|---|---|---|
--waves 2 | No | Stop after Wave 2 |
--waves 2 | Yes | Stop after Wave 2 with Inconclusive |
--waves 3 | No | Adaptive (stop early if score met) |
--waves 3 | Yes | Force Wave 3 |
User --waves never exceeded. Hard-fail emits Inconclusive with explanation.
Wave 3: Cross-cutting (Optional)
Triggered only when:
- Unresolved critical open questions are cross-cutting, OR
- Findings >70% concentrated in 1 subsystem, OR
- High-risk domain flags (auth/security/migration)
If no trigger conditions met, skip Wave 3 even if score < 80.
Agents in Wave 3 follow 80/20 contract. If trigger is cross-cutting, one agent may operate as conditional scout with broader mandate.
Agent Dispatch Contract
// Primary: Agent tool with subagent_type=Explore
Agent({
description: "Wave N Shard X: <description>",
subagent_type: "Explore",
run_in_background: true,
prompt: `<from references/agent-prompt.md>`
});
Fallback (if Explore dispatch fails):
- Retry with
subagent_type: "general-purpose" - If still fails → degrade to single-agent inline exploration
- Mark coverage gap in report
Claim Registry (Synthesis)
See references/synthesis.md for full algorithm.
| Step | Action |
|---|---|
| 1. Normalize | {claim, evidence(file:line), shard, wave, confidence} |
| 2. Dedup | Key = canonical_file_path + canonical_claim_text (±5 line tolerance) |
| 3. Consensus | Same claim from 2+ shards → [consensus] |
| 4. Conflict | Contradicting claims → evidence-weight resolution |
| 5. Divergence | Unresolvable → explicit divergence section |
Evidence redaction: follow @rules/logging.md — no secrets, file:line refs only.
Arguments
| Argument | Description | Default |
|---|---|---|
<query> | Research topic/question | Required |
--agents N | Agents per wave (1-3) | 3 |
--waves N | Max waves (2-3) | 3 (adaptive) |
--areas "a, b, c" | Manual shard specification | Auto-detect |
--quick | Redirect to /code-explore | Off |
Output
See references/synthesis.md for report template.
## Deep Exploration Report: <query>
### Completeness
- Score: <N>/100
- Waves executed: <N>
- Agents dispatched: <N>
### Executive Summary
<2-3 sentence answer to user's question>
### Per-Wave Findings
| Wave | Focus | Key Findings | Open Qs |
|------|-------|-------------|---------|
### Claim Registry
| # | Claim | Evidence | Source | Confidence | Consensus |
|---|-------|----------|--------|------------|-----------|
### Coverage Matrix
| Shard | Files Explored | Ownership |
|-------|---------------|-----------|
### Proactive Discoveries (from 20% peripheral)
| # | Finding | Tag | Evidence |
|---|---------|-----|----------|
### Divergence (if any)
| # | Claim A | Claim B | Source Agents | Status |
|---|---------|---------|--------------|--------|
### Residual Risks
- <remaining unknowns and suggested follow-up commands>
Verification Checklist
- Phase 0 correctly estimated scope and planned shards
- Wave 1 dispatched agents in parallel (single message)
- Wave 2 focused on highest-impact hotspots
- Completeness score computed and displayed
- Claim registry built with dedup and conflict resolution
- Inter-wave context did not pass conclusions as truth
- Report includes coverage matrix and residual risks
- No
git add/commit/pushexecuted
References
- Agent prompt template:
references/agent-prompt.md - Synthesis algorithm + report template:
references/synthesis.md - Standards: @rules/docs-writing.md
Examples
Input: /deep-explore "How does the review pipeline work end-to-end?"
Action: Phase 0 → Wave 1 (hooks, skills/review, rules/auto-loop) → Wave 2 (state machine, gate logic) → Report
Input: /deep-explore --areas "hooks, skills/codex-code-review, rules" "Review system architecture"
Action: Phase 0 (user shards) → Wave 1 (3 agents) → Wave 2 (hotspots) → Report
Input: /deep-explore --quick "How does review-state.js work?"
Action: Redirect to /code-explore (small scope)
Input: /deep-explore --agents 2 --waves 2 "Plugin install flow"
Action: Phase 0 → Wave 1 (2 agents) → Wave 2 (2 agents) → Report (max 2 waves)
Signals
- GitHub stars
- 188
- Forks
- 24
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
deep-explore- Source
- github.com/sd0xdev/sd0x-harness