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agent-architect-zurbrickAgent 建筑师祖布里克

Agent Skill

agent-architect-zurbrick 用于辅助安全审计、权限检查和凭据风险排查,适合在 OpenClaw 中需要复核安全边界、认证流程或敏感配置时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,568

周安装

183

GitHub Stars

公开资料未说明

下载量

1,479
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-architect-zurbrick(Agent 建筑师祖布里克)
来源仓库:https://github.com/zurbrick/agent-architect-zurbrick
安装命令:
openclaw skills install agent-architect-zurbrick
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-architect-zurbrick

简介

从角色语气到底层架构全面审核代理配置合理性。agent-architect-zurbrick 属于效率类 Skill,可作为该场景下的辅助能力补充。

  • 适用于重构代理结构或优化多代理协作关系的场景。
  • 提供宪法规则、内存架构与技能组合的专业改进建议。
  • 输出仅为参考意见,重大变更前应充分测试回滚方案。
  • 需确保拥有足够权限访问所有相关配置文件与运行时状态。

SKILL.md

name
agent-architect
description
>

Agent Architect

Use this skill to diagnose where an agent problem belongs before changing anything.

This is a narrow architecture audit skill. It does not run a governance program, build a dashboard, or redesign the whole agent unless the evidence clearly earns that conclusion.

Recommendations from this skill are diagnostic only. Do not apply patches without reviewing whether the lane assignment and fix type actually match the problem.

Use when

  • an agent sounds wrong, acts off-brand, or drifts in tone
  • an agent keeps making the same operating mistake
  • an agent forgets key context, commitments, or prior corrections
  • an agent keeps solving repeatable problems ad hoc instead of through a skill or workflow
  • the real question is which layer should change rather than how to patch the symptom
  • deciding whether the fix belongs in SOUL.md, AGENTS.md / operations files,

memory files, or a skill directory

Do not use when

  • the user already knows the exact file and exact edit to make
  • the task is routine skill authoring with no architecture diagnosis needed
  • the request is to build a whole new agent system, dashboard, registry, or governance framework
  • the issue is a one-off execution failure better solved by fixing the local task directly
  • there is not enough evidence yet to distinguish signal from a single bad run

The four lanes

  1. Persona / tone — identity, voice, style, stance, response texture
  2. Rules — constitutional constraints, operating rules, decision protocols,

escalation boundaries, workflow habits

  1. Memory — what is stored, when it is written, how it is retrieved,

where durable facts vs daily state live

  1. Skills — reusable workflows, narrow procedural packages, tool-routing,

repeatable playbooks

Read references/lane-diagnosis.md before assigning a lane.

Default workflow

  1. Start from the symptom, not the fix

Capture the failure pattern, repeated friction, or observed weakness.

  1. Check whether this is recurring or isolated

If it is a one-off, prefer a local fix or no change.

  1. Assign the primary lane

Read references/lane-diagnosis.md and choose the lane causing the failure. If multiple lanes contribute, name one primary lane and at most one secondary lane. Only recommend a secondary-lane patch if the primary-lane fix would clearly fail without it. Otherwise, note the secondary lane as context only.

  1. Choose the smallest justified fix type

Read references/fix-types.md and prefer, in order: - no change - plain edit - memory tweak - rule change - skill change

Do not escalate to a larger fix just because it feels more architectural. Weak evidence should bias toward no change or a local edit. Structural changes need recurrence, cross-context benefit, or repeated operator friction.

  1. Say where the patch belongs

Point to the layer or file family directly: - persona → SOUL.md, identity/tone docs - rules → AGENTS.md, OPERATIONS.md, guardrails, QA/protocol docs - memory → MEMORY.md, memory/*.md, memory procedures, retrieval paths - skills → a specific skill's SKILL.md, references/, or a new narrow skill only if earned

  1. State what not to touch

Avoid collateral edits, broad rewrites, and cross-lane churn unless clearly necessary.

  1. Use the output format exactly

Keep the answer short, decisive, and patch-oriented.

  1. Log meaningful architecture recommendations

If the diagnosis leads to a real structural recommendation, log the lane, fix type, and short symptom summary to daily memory so future audits can see what changed and why.

For a fast pass before recommending any change, read references/audit-checklist.md.

Output format

Human-readable

  1. Diagnosis — what is actually going wrong
  2. Lane — persona / rules / memory / skills
  3. Recommended fix type — plain edit / rule change / skill change / memory tweak / no change
  4. Smallest justified patch — exact change and where it belongs
  5. Risks / what not to touch — nearby changes that would be overreach

Structured option

diagnosis: short summary of what is actually wrong
lane: persona|rules|memory|skills
secondary_lane: none|persona|rules|memory|skills
fix_type: no_change|plain_edit|memory_tweak|rule_change|skill_change
patch_target: exact file or file family
smallest_patch: concise patch recommendation
risks:
  - overreach to avoid
  - adjacent file or lane not to touch

Works well with

  • skill-builder — when the result is "tighten or add a narrow skill"
  • memory-architecture skills such as cognition — when the issue is durable storage, retrieval shape, or memory-system design beyond a local tweak
  • battle-tested-agent — when the diagnosis suggests reliability hardening patterns across memory, delegation, or verification
  • openclaw-guide — when the issue is really OpenClaw routing, config, session behavior, or platform mechanics rather than the agent itself

References

  • references/lane-diagnosis.md — how to identify the weak lane and avoid misclassification
  • references/fix-types.md — how to choose the smallest justified intervention
  • references/audit-checklist.md — fast audit pass before recommending any patch
  • references/placement-map.md — where each kind of fix usually belongs
  • references/worked-examples.md — compact examples for common mixed-lane failures and one do-nothing case

Output style

Be crisp. Route the problem to the right layer. Prefer the smallest justified patch over architectural theater.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.87%
按下载量换算1,078

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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