agent-module-architecture
- Repo stars 2,496
- Author updated Live
- Author repo bk-ci
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @TencentBlueKing · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: agent-module-architecture
description: runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.
category: ai
runtime: no special runtime
---
# agent-module-architecture output preview
## PART A: Task fit
- Use case: runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “适用场景 / 不适用场景 / 快速指导” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “适用场景 / 不适用场景 / 快速指导” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “适用场景 / 不适用场景 / 快速指导”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: agent-module-architecture
description: runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.
category: ai
source: TencentBlueKing/bk-ci
---
# agent-module-architecture
## When to use
- 修改 Agent 启动、守护和进程管理 处理心跳、Ask 轮询、任务拉起或任务结束流程 修改 Agent 升级、组件升级和构建机环境管理 排查 Agent 与 Dispatch、Worker 的交互问题 只是修改 Worker 内部的任…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “适用场景 / 不适用场景 / 快速指导” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "agent-module-architecture" {
input -> user goal + target files + boundaries + acceptance criteria
context -> 适用场景 / 不适用场景 / 快速指导
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Agent 模块架构
适用场景
- 修改 Agent 启动、守护和进程管理
- 处理心跳、Ask 轮询、任务拉起或任务结束流程
- 修改 Agent 升级、组件升级和构建机环境管理
- 排查 Agent 与 Dispatch、Worker 的交互问题
不适用场景
- 只是修改 Worker 内部的任务执行
- 只是修改插件定义、
task.json或插件发布 - 只是修改 Dispatch 的调度配额和队列策略
- 只是修改流水线业务逻辑
快速指导
- 这个 skill 关注的是“构建机宿主侧如何保持在线、接任务、拉起执行器”。
- Agent 主要解决守护、心跳、升级和任务编排,不负责插件本体定义。
- 先按问题类型进入对应参考文档:
- 运行形态与升级:
reference/1-runtime-upgrade.md - Ask、心跳与任务拉起:
reference/2-ask-heartbeat-build.md - 平台支持、运维与排查:
reference/3-platform-ops.md
- 运行形态与升级:
- 如果问题已经进入任务执行细节,切到
worker-module-architecture。 - 如果问题在构建机选择、排队或资源配额,切到
dispatch-module-architecture。
高信号规则
- Agent 是构建机侧编排者,Worker 是执行者
- 守护、心跳、Ask、升级是理解 Agent 的四个核心切面
- Agent 改动通常会影响稳定性、在线率和任务领取能力
- 涉及进程管理和升级时,要优先考虑跨平台差异
关键陷阱
- 把 Worker 细节问题误判成 Agent 问题
- 只看单次请求,不看守护和轮询全链路
- 升级逻辑没考虑回滚、并发和运行中任务
- 忽略 Linux / Windows / macOS 的行为差异
延伸阅读
- 运行形态与升级:
reference/1-runtime-upgrade.md - Ask、心跳与任务拉起:
reference/2-ask-heartbeat-build.md - 平台支持、运维与排查:
reference/3-platform-ops.md - 如果你在改 Worker 执行:再看
worker-module-architecture - 如果你在改调度与构建机选择:再看
dispatch-module-architecture
Decide Fit First
Design Intent
How To Use It
Boundaries And Review