Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
Aggregate parallel agent results into concise output
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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)还没有评价。欢迎分享你的使用感受。
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
中文简介正在准备中。当前显示原文说明。
Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
中文简介正在准备中。当前显示原文说明。
Apache Airflow best practices for DAG authoring, testing, and production deployment
中文简介正在准备中。当前显示原文说明。
Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
中文简介正在准备中。当前显示原文说明。
Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
中文简介正在准备中。当前显示原文说明。