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Agent Skill · 研究检索

codex-conductor(Codex conductor 搜索)

codex-conductor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

codex-conductor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 2,491。

总安装 60,086周安装 2,581GitHub Stars 10下载 21,061核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:codex-conductor(Codex conductor 搜索)
来源仓库:https://github.com/shalomobongo/codex-conductor
安装命令:
openclaw skills install codex-conductor
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 codex-conductor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

适用于 Codex CLI 的有条不紊的端到端软件交付编排器,具有双项目模式(用于新建系统的绿地,用于现有系统的棕地)和双执行模式(自主和门控)。当用户希望通过严格的阶段控制、进度跟踪、每步手动/自动测试、持续文档更新、变更影响管理以及适用于任何编码代理的可重用 AGENTS.md 工作流程进行完整生命周期交付时使用。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install codex-conductor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

codex-conductor 怎么安装?

在终端执行 openclaw skills install codex-conductor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

codex-conductor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

codex-conductor 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

codex-conductor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

codex-conductor 用的人多吗?

公开数据是累计安装 60,086 次,近一周安装 2,581 次,下载 21,061 次,GitHub 10 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

codex-conductor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
codex-conductor

Codex conductor 搜索 · 本页

60,08610操作浏览器MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
codex-orchestrator
description
Methodical end-to-end software delivery orchestrator for Codex CLI with dual project modes (greenfield for new builds, brownfield for existing systems) and dual execution modes (autonomous and gated). Use when users want full lifecycle delivery with strict stage gates, progress tracking, per-step manual/automated testing, continuous docs updates, change-impact management, and a reusable AGENTS.md workflow for any coding agent.

Codex Orchestrator

Coordinate Codex as a disciplined delivery system, not a one-shot generator.

Core Modes

Select both:

  • project_mode

- greenfield: build from scratch - brownfield: onboard and modernize an existing system

  • execution_mode

- autonomous: proceed automatically when gates pass - gated: pause at every gate for user approval

Governing Principle: Spec-Driven Development

No code without a spec. This is non-negotiable.

Before any implementation, a written spec must exist with:

  • What is being built
  • Why it's needed
  • Acceptance criteria (testable)
  • Constraints and out-of-scope

The coding agent MUST NOT:

  • Guess at requirements
  • Make assumptions about behavior
  • Add unrequested features
  • Invent abstractions not in spec

If spec is unclear → STOP and ask. Never guess.

See references/spec-driven-development.md for full spec templates and enforcement rules.

Non-Negotiable Sequence

  1. Intake + planning questionnaire
  2. Spec creation + approval (specs written BEFORE any code)
  3. Docs scaffold + AGENTS.md contract
  4. Mode-specific pre-architecture work
  5. Architecture + ADR baseline (references specs)
  6. Build by vertical slices (each task references spec)
  7. Verification against spec acceptance criteria
  8. Security/quality gates
  9. Release readiness + handover

Never skip gates silently. Never implement without a spec.

Required Resources

Read these references before running:

  • references/spec-driven-development.md (MANDATORY FIRST - governs all work)
  • references/planning-questionnaire.md
  • references/modes.md
  • references/gate-checklists.md
  • references/testing-matrix.md
  • references/manual-test-templates.md
  • references/codex-runbook.md
  • references/gate-prompts.md
  • scripts/agent_exec.py
  • references/research-playbook.md (if research_mode=true)

Scaffolding

Initialize project artifacts:

python scripts/init_project_docs.py --root <project-path> --mode <greenfield|brownfield>

This creates/updates:

  • AGENTS.md (project workflow contract)
  • docs/*.md planning/architecture/test/progress/change docs
  • brownfield docs (when mode is brownfield)
  • .orchestrator/status.json (machine-readable state)
  • .orchestrator/context.json (project/execution/research mode context)

Planning Rules

Before anything else, ask the user which coding agent to use (codex | claude | opencode | pi) and fallback agent. Then ask all required questions from references/planning-questionnaire.md.

Minimum required answers:

  • mission
  • top user journeys
  • v1 scope
  • hosting target
  • stack preference (or explicit request for recommendation)
  • project_mode
  • execution_mode
  • definition of done
  • acceptance tests

If research_mode=true, produce docs/research-notes.md and architecture recommendation before G2.

Mode-Specific Requirements

Greenfield

Must complete before G2:

  • requirements + DoD clarity
  • architecture baseline
  • ADR-0001 with alternatives
  • CI/test baseline plan

Brownfield

Must complete before G2 (and authored by coding agent, not orchestrator):

  • as-is architecture and system inventory
  • dependency map and risk register
  • characterization-test baseline
  • migration strategy + rollback approach
  • compatibility boundaries documented

Gate Engine

Use gates G0 through G7 defined in references/gate-checklists.md.

Update gate state via script:

python scripts/gate_status.py set --root <project-path> --gate G3 --state PASS --note "slice-1 verified"

Validate status schema:

python scripts/gate_status.py validate --root <project-path>

Allowed states: PENDING | IN_PROGRESS | PASS | FAIL | BLOCKED. By default, gate preconditions are enforced (sequence + mode-aware docs checks).

Validation Rules

Use references/testing-matrix.md.

Mandatory checks per progression:

  • lint/type/build
  • unit/integration/e2e (as applicable)
  • API contract sanity (if API exists)
  • security baseline
  • docs sync verification

Also execute manual test scripts from references/manual-test-templates.md.

Documentation Rules

For each meaningful step:

  • update docs/tasks.md
  • update docs/progress.md
  • append docs/change-log.md
  • update docs/traceability.md
  • record test evidence in docs/test-results.md

For user-requested changes, run:

python scripts/change_impact.py --root <project-path> --request "<change request>"

Then complete all TODOs it emits in impacted docs.

Codex Execution Pattern

Use PTY/background for long runs. Follow command patterns in references/codex-runbook.md.

Critical rule: each run executes ONE task, not a whole project in one prompt. For G4, maintain docs/g4-task-plan.md checklist and process tasks one by one.

Generate gate-specific prompts with:

python scripts/generate_gate_prompt.py --gate <G1..G7> --agent <codex|claude|opencode|pi> --project-mode <greenfield|brownfield> --execution-mode <autonomous|gated> --research-mode <true|false> --task "<single task summary>" --spec-ref "<spec ref when applicable>"

update_docs_step.py is now a fallback utility for recovery/manual bookkeeping only. Primary expectation: the coding agent updates docs directly during each task.

Required loop:

  1. verify spec exists for the task (no spec = no implementation)
  2. launch selected coding agent with spec-driven prompt template
  3. coding agent updates docs immediately after task completion (including handoff checklist)
  4. coding agent wakes OpenClaw with task summary + where verification steps are documented
  5. OpenClaw agent runs verification itself:

- CLI checks in terminal tools - Browser/manual checks in browser tools (for web flows)

  1. verify output matches spec acceptance criteria
  2. if validations fail, OpenClaw sends exact failures back to coding agent and re-runs fix cycle
  3. write final gate status only after validations pass (or mark FAIL/BLOCKED)

Enforcement:

  • run_gate.py requires --spec-ref for G3/G4 tasks (implementation gates).
  • run_gate.py requires coding agent + fallback agent context.
  • Each task requires validation evidence (--validate-cmd and/or --ui-review-note).
  • Tasks flagged with --requires-browser-check must include --ui-review-note.
  • status=PASS requires at least one --validate-cmd.
  • status=PASS is blocked when --agent-dry-run is used.
  • For G4, PASS is blocked until docs/g4-task-plan.md has no unchecked tasks.
  • Validation output is recorded in docs/validation-log.md.
  • Coding agent must update docs after every task, including docs/agent-handoff.md.
  • In brownfield mode, G1/G2 fail if onboarding docs are not updated by the coding agent.
  • Coding agent prompts MUST include spec preamble from references/spec-driven-development.md.
  • Any implementation without spec reference = automatic FAIL.
  • In autonomous mode, failed validations trigger automatic fix retries (default: 2) with failure details passed back to coding agent.
  • Optional strict mode: --auto-block-on-retry-exhaust auto-classifies gate as BLOCKED when retries are exhausted.

Progress Visibility

Generate a quick status board:

python scripts/progress_dashboard.py --root <project-path>

This summarizes current gate, completion %, blockers, and recent activity.

Run a single-task gate step with one command:

python scripts/run_gate.py --root <project-path> --gate G2 --agent codex --fallback-agent claude --project-mode brownfield --execution-mode gated --research-mode true --task "architecture baseline refined for API routing" --status IN_PROGRESS --validate-cmd "npm run -s typecheck" --ui-review-note "N/A for architecture-only task"

Mark PASS only after all gate-level checklist items are complete:

python scripts/run_gate.py --root <project-path> --gate G2 --agent codex --task "architecture gate complete" --status PASS --validate-cmd "npm run -s typecheck"

For web/UI tasks, require browser verification by OpenClaw agent:

python scripts/run_gate.py ... --requires-browser-check --ui-review-note "Verified login + CRUD manually in browser via OpenClaw browser tools"

Package distributable skill artifact:

python scripts/package_skill.py --skill-dir . --out dist

End-State Deliverables

At completion provide:

  • docs/progress.md at 100%
  • final gate summary from .orchestrator/status.json
  • test result summary + unresolved risks
  • deployment + rollback notes
  • next-iteration backlog

If blockers remain, mark as PARTIAL_COMPLETE with explicit blockers and owners.

平台分布

OpenClaw

72.89%
按下载量换算15,351

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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