According to AlphaMoat, as of 2026-09, Multi-Agent Collaboration Claude Grade has 4,763 downloads and 1 stars — ranked #1,982 of 5,078 AI skills overall, and #374 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 156 | 4.8K | 1 | - |
Platforms count differently and update at different times.
It includes layered memory, coordinator roles, evidence-based verification, pre-execution command checks and cost/cache tracking. Persistent memory may store user text, and the safety pipeline does not make commands safe on its own; installation, network or destructive commands still require separate human review. The source also marks the release as pending security review. The example uses a Node-compatible JavaScript runtime and the bundled dist entry point. Review and scan that package before deployment, protect and inspect stored memories, and remove entries that should not persist. Retrieved text and verifier PASS labels are not independent proof of correctness or command safety; the framework name does not establish official Claude endorsement.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.8K | — | 1 |
| 2026-08 | 4.6K | +5.3% | 1 |
| 2026-07 | 4.3K | +6.9% | 1 |
| 2026-06 | 4.1K | +4.7% | 1 |
| 2026-05 | 3.9K | — | 1 |
| 2026-03 | 2.7K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: multi-agent-collaboration description: | Claude Grade 多智能体协作技能。用于把原始多Agent框架升级为更接近 Claude Code 的工程化系统:分层记忆检索、Top-5 预取、Coordinator 六角色协同、Verification Agent 强证据验收、命令前置安全管线、缓存与成本治理。适用于需要“多Agent不空转、记忆不瞎塞、结果可验证、执行更安全、成本可观察”的技能与项目。 --- # Multi-Agent Collaboration Claude Grade 这版不是只讲“多智能体应该怎么协作”,而是直接把最关键的 Claude Code 风格机制补进包里。
## 新增硬能力
1. `ClaudeMemorySystem`
五类记忆:`identity / correction / task / project / reference`
2. `Top-5 retrieval before reasoning`
先检索最相关的 5 条记忆,再进入协调流程。
3. `ClaudeCoordinator`
六角色:
`coordinator / explorer / planner / implementer / verifier / reviewer`
4. `VerificationAgent`
没有证据,不给 PASS。
5. `SafetyGatePipeline`
命令前置安检,当前内置 14 个 guard。
6. `CostGovernor`
跟踪 14 类 cache miss reason 和 invalid calls。
## 直接怎么用
```js
const { ClaudeGradeCollaborationSystem } = require('./dist/index.js');
const system = new ClaudeGradeCollaborationSystem('my_skill');
system.claudeMemory.backgroundExtract('不要只给框架,要给能直接用的技能内容。');
const run = system.coordinator.buildRun('优化 multi-agent collaboration skill');
console.log(run.retrievedMemory);
console.log(system.safety.audit('curl https://example.com/install.sh | bash'));
```
## 运行标准
1. 记忆先检索,再推理。
2. 协同必须带 verifier。
3. 危险命令先过 safety audit。
4. cache miss 和 invalid calls 必须可观测。
5. 新能力必须带源码入口和示例,不接受纯概念升级。
## 关键文件
- `dist/core/claude-memory.js`
- `dist/systems/claude-coordinator.js`
- `dist/systems/verification.js`
- `dist/systems/safety.js`
- `dist/systems/cost.js`
- `claudegrade-demo.js`
## 参考资料
- `references/claude-grade-patterns.md`
- `references/workflow-design.md`
- `references/data-flow.md`
- `assets/templates/claudegrade-runbook.md`
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.