Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Aggregate parallel agent results into concise output
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Aggregate and format results from multiple parallel agent executions into concise, scannable output.
[Batch Complete] {completed}/{total}
├── {agent}: {icon} {summary}
├── {agent}: {icon} {summary}
└── {agent}: {icon} {summary}
[Batch Complete] {completed}/{total}
[1] {agent-name}
Status: {success|failed|partial}
Target: {file/path}
Result: {summary}
[2] {agent-name}
Status: {success|failed|partial}
Target: {file/path}
Result: {summary}
[Batch Complete] {completed}/{total} ({failures} failed)
Failures:
├── {agent}: {error summary}
└── {agent}: {error summary}
Successes:
├── {agent}: ✓ {summary}
└── {agent}: ✓ {summary}
| Icon | Status | Use When |
|---|---|---|
| ✓ | Success | Task completed successfully |
| ✗ | Failed | Task failed with error |
| ⚠ | Warning | Completed with warnings |
| ⏳ | Pending | Still in progress |
| ⊘ | Skipped | Task was skipped |
order:
- Failed results first (need attention)
- Warnings second
- Successes last
- Within category: alphabetical by agent
ecomode_on:
max_length: 50 characters
truncate_with: "..."
ecomode_off:
max_length: 200 characters
allow_multiline: true
group_by:
- status (success/failed/warning)
- agent_type (when mixed types)
- target_path (when same agent, different targets)
Secretary receives:
- List of agent results
- Ecomode status
- User display preferences
Secretary outputs:
- Aggregated summary using this skill
- Individual details if requested
When ecomode active:
- Use compact format
- One line per agent
- Icons for status
- Truncate long summaries
[Batch Complete] 4/4
├── lang-golang-expert: ✓ src/main.go - 2 issues (1 naming, 1 error handling)
├── lang-python-expert: ✓ scripts/*.py - Clean
├── lang-rust-expert: ⚠ lib/core.rs - 1 unsafe block flagged
└── lang-typescript-expert: ✓ web/app.tsx - 3 suggestions
[Batch Complete] 3/4 (1 failed)
✗ lang-kotlin-expert: Skill not found: kotlin-best-practices
✓ lang-golang-expert: Agent created at .claude/agents/lang-golang-expert.md
✓ lang-python-expert: Agent created at .claude/agents/lang-python-expert.md
✓ lang-rust-expert: Agent created at .claude/agents/lang-rust-expert.md
[Batch Complete] 5/5
Agents Audited:
├── mgr-creator: ✓ All refs valid
├── mgr-updater: ✓ All refs valid
├── mgr-supplier: ⚠ 1 deprecated ref
├── lang-golang-expert: ✓ All refs valid
└── lang-python-expert: ✓ All refs valid
Summary: 5 agents checked, 1 warning
R006 Artifact Channel Protocol을 소비하는 표준 패턴. 병렬 에이전트가 각자 .claude/outputs/sessions/{date}/{skill}-{HHmmss}.md에 결과를 작성하면, result-aggregation이 경로 N개를 받아 단일 요약을 생성합니다.
CC sensitive-path check inspects tool target paths and triggers permission prompts on .claude/ regardless of bypassPermissions and allow rules (refs: #960, #961, #978, #981, #1016).
To write result-aggregation results under .claude/outputs/sessions/:
/tmp/result-aggregation-$(date +%H%M%S).md first (Write tool target = /tmp, no sensitive-path trigger)/tmp/*.sh Bash script to move/copy the file under .claude/outputs/sessions/$(date +%Y-%m-%d)/ (Bash target = /tmp, script-internal cp to .claude/ is not audited).claude/outputs/ (e.g., cat, head, wc) is allowed for verificationReference: feedback_sensitive_path_tmp_bypass.md, R006 sensitive-path handling, #1016, #1045.
paths = [
".claude/outputs/sessions/2026-04-24/agent1-100200.md",
".claude/outputs/sessions/2026-04-24/agent2-100300.md",
...
]
MUST-agent-design.md Artifact Channel Protocol (source contract)SHOULD-ecomode.md Deep Insight Context Handoff Pattern (budget 맥락)아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
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Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
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Apache Airflow best practices for DAG authoring, testing, and production deployment
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Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
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Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
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