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Agent Skill · 研究检索

codex-profiler(Codex profiler 搜索)

codex-profiler 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-profiler 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 7,765。

总安装 18,096周安装 754GitHub Stars 公开资料未说明下载 6,032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
1.0.27

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

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。

通过 Telegram 命令管理 OpenAI Codex 配置文件,以进行使用情况检查和 OAuth 令牌刷新以及排队安全应用和进度更新。

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-profiler;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

    它需要接触敏感数据,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-profiler 怎么安装?

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

codex-profiler 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-profiler 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

codex-profiler 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-profiler 用的人多吗?

公开数据是累计安装 18,096 次,近一周安装 754 次,下载 6,032 次。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-profiler 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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-profiler

Codex profiler 搜索 · 本页

18,096—接触敏感数据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-profiler
description
Maintained Codex operations skill: unified /codex_usage + /codex_auth path. Standalone codex-usage/codex-auth are deprecated.
✅ Maintained path: use codex-profiler for all Codex profile operations. Standalone codex-usage and codex-auth skills are deprecated.

This skill consolidates both scripts:

  • scripts/codex_usage.py (usage/limits)
  • scripts/codex_auth.py (OAuth helper for start/status)

For auth/profile mutation, this skill now standardizes on gateway-native openclaw models auth ... commands.

Safe defaults

  • Usage checks are read-only by default.
  • Auth state is runtime-managed; one-shot direct file edits are unreliable and can be overwritten by in-memory/cooldown state.
  • Treat auth-profiles.json as gateway-managed state. Never mutate it directly in normal operations.
  • Prefer gateway-native auth mutation commands (openclaw models auth ..., openclaw models auth order ...) over script-level file writes.
  • Use dry-run/read-only preflight first, then apply, then verify (strict anti-drift flow below).
  • See RISK.md for allowed/denied operation boundaries.

Commands

Usage

  • /codex_usage → selector (default / all / discovered profiles)
  • /codex_usage <profile>

Auth

  • /codex_auth → selector (profiles)
  • /codex_auth <profile>
  • /codex_auth finish <profile> <callback_url> (helper only; profile/order mutation must use gateway-native commands)

UX requirements (cross-channel)

For /codex_usage, send immediate progress message first as a separate message:

  • "Running Codex usage checks now…"

Delivery rule:

  • If progress is sent through channel message tool path, send final result through the same path (same target/session), then return NO_REPLY.
  • Avoid mixed delivery (tool progress + plain reply final).

For auth/profile/order mutation, warn that writes are gateway-managed and enforce verify-after-apply:

  • "I will apply this via openclaw models auth ... and then verify with models status + auth order get."
  • "I won’t hand-edit auth files directly because runtime state can drift/overwrite one-shot edits."

Interaction adapter

  • If inline buttons are supported: use selector buttons.
  • If inline buttons are not supported: use text fallback prompts.
  • Apply duplicate-request suppression per user for ~20s.
  • Never echo full callback URLs in responses.

Profile removal policy (MANDATORY)

  1. Best method (default): operational retire, not hard delete

- Remove the target profile from active provider order (openclaw models auth order set ...) so it is never selected. - Keep profile data intact unless the user explicitly requests permanent deletion.

  1. Hard delete only on explicit user instruction

- Perform permanent profile deletion only when the user clearly asks to hard delete/remove permanently. - If gateway-native delete is unavailable in the installed OpenClaw version, do not improvise risky live edits; use a controlled maintenance window flow.

Strict anti-drift auth mutation flow (MANDATORY)

For auth/profile/order changes, use this exact 3-step flow:

1) Preflight (read-only)

openclaw models status --json
openclaw models auth order get --provider openai-codex --agent <agent-id>

2) Apply (gateway-native command)

openclaw models auth order set --provider openai-codex --agent <agent-id> <profile1> <profile2>
# or
openclaw models auth order clear --provider openai-codex --agent <agent-id>
# or provider login flow
openclaw models auth login --provider openai-codex

3) Verify (post-apply, no assumptions)

openclaw models status --json
openclaw models auth order get --provider openai-codex --agent <agent-id>

Never skip verification. If results mismatch expectation, do not hand-edit files; diagnose and re-apply via gateway-native commands.

How to run

# Usage checks (read-only)
python3 skills/codex-profiler/scripts/codex_usage.py --profile all --timeout-sec 25 --retries 1 --debug
python3 skills/codex-profiler/scripts/codex_usage.py --profile all --format text

# OAuth helper (callback parsing/status only)
python3 skills/codex-profiler/scripts/codex_auth.py start --profile default
python3 skills/codex-profiler/scripts/codex_auth.py status

Safety posture

  • No remote shell execution (curl|bash, wget|sh) is allowed by this skill.
  • No sudo/SSH/system-level host mutation commands are part of this skill path.
  • Usage checks are restricted to trusted HTTPS endpoint host allowlist (chatgpt.com).
  • Callback URLs and token material must be treated as sensitive and never echoed in full.

Multi-account rotation guidance

When asked about running multiple Codex accounts/profiles, rotation policy, or fallback strategy, read:

  • references/multi-account-rotation.md

Use the short template for quick chat answers and the deep-dive template for setup/troubleshooting requests.

Notes

  • Uses auth profiles at ~/.openclaw/agents/main/agent/auth-profiles.json by default.
  • Current source of truth is auth-profiles.json; auth.json is legacy compatibility and should not be used as primary state.
  • If profile routing behaves unexpectedly, check for mixed state (missing/stale auth-profiles.json, leftover legacy files, or stale runtime cooldown) before assuming model fallback bugs.
  • Same accountId across two profile labels is not automatically a defect. In this environment, multiple labels can map to the same workspace/account identity while still operating correctly. Treat it as healthy when both profiles are auth-valid and usable in /codex_usage; investigate only when auth failures or routing failures appear.
  • Codex usage endpoint: https://chatgpt.com/backend-api/wham/usage.
  • Usage script now surfaces 401 as auth_not_accepted_by_usage_endpoint with a clear hint, while still returning local profile health.
  • Usage output now includes top-level summary, formatted_profiles, and suggested_user_message for cleaner slash-command formatting.
  • Preferred strict output format for /codex_usage (single line per profile):

- 🟢 \%profile%\ — 5h **%5h_left%** | week **%week_left%** | r5 **%5h_reset%** | rw **%week_reset%** - Use 🟠 when limited and 🔴 when unusable/auth-invalid. - No preface, no table, no trailing summary unless explicitly requested.

  • OAuth flow: OpenAI auth endpoints + localhost callback on port 1455.
  • Preferred mutation path is gateway-native (openclaw models auth ... / openclaw models auth order ...) with mandatory preflight + verify.
  • codex_auth.py status --profile <profile> remains useful for per-profile helper status checks.
  • Keep temporary payload/token artifacts only until verification succeeds, then clean them up.
  • Codex CLI installation is not required for usage endpoint reads in this skill path.

平台分布

OpenClaw

86.94%
按下载量换算5,244

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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