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Agent Skill · 研究检索

1password-secret-references(1password 秘密参考)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

1password-secret-references 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 68,015。

总安装 238周安装 10GitHub Stars 3下载 83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
unknown

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:1password-secret-references(1password 秘密参考)
来源仓库:https://github.com/jem-open/jem-agent-skills
仓库路径:skills/1password-secret-references
安装命令:
npx skills add https://github.com/jem-open/jem-agent-skills --skill 1password-secret-references
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/jem-open/jem-agent-skills --skill 1password-secret-references

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。

适用于需要访问 1Password 中敏感信息的自动化流程, 如 CI/CD、脚本执行或安全审计。核心能力是确保秘密仅在受控子进程中解析,避免暴露给 Agent 的上下文窗口。使用时需通过 op run 命令调用,禁止手动处理认证或会话令牌。

必须安装并运行 1Password 桌面应用,启用生物识别解锁,并确保 op CLI 可用。

来源仓库内路径:skills/1password-secret-references

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/jem-open/jem-agent-skills --skill 1password-se…;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

1password-secret-references 怎么安装?

在终端执行 npx skills add https://github.com/jem-open/jem-agent-skills --skill 1password-secret-refer…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

1password-secret-references 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

1password-secret-references 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。

1password-secret-references 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

1password-secret-references 用的人多吗?

公开数据是累计安装 238 次,近一周安装 10 次,下载 83 次,GitHub 3 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。

1password-secret-references 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
1password-secret-references

1password 秘密参考 · 本页

2383接触敏感数据未明确通过

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

1Password Secret References

Why this skill exists

Coding agents default to the path of least resistance with secrets — resolving them into shell variables, printing them to stdout, or writing them to files. This leaks secrets into terminal scrollback, shell history, the agent's context window, and process tables. This skill enforces a single principle: secrets are resolved only inside the op run subprocess boundary, never in the agent's visible shell.

Prerequisites

  • 1Password desktop app installed and running
  • 1Password CLI (op) installed and available on PATH
  • Biometric unlock enabled (the desktop app authenticates the CLI)

Do not attempt to handle authentication yourself — no session tokens, no op signin, no credentials. If an op run command fails with an authentication error, tell the user: "Please unlock your 1Password desktop app so the CLI can authenticate via biometric."

The one rule: op run for everything

Every command that needs a secret gets wrapped in op run. This resolves op:// references inside an isolated subprocess. The parent shell — and therefore you, the agent — never sees the plaintext value.

Direct execution

op run --env-file=.env -- python manage.py runserver

Docker Compose (env var passthrough)

In docker-compose.yml, declare environment variables without values so they inherit from the parent process:

services:
  api:
    environment:
      - DATABASE_URL
      - STRIPE_SECRET_KEY

Then run:

op run --env-file=.env -- docker-compose up

The secrets resolve in the op run subprocess and pass through to the container. They never appear in the agent's terminal or context.

Inline env vars for one-off commands

For quick operations like API calls, declare the op:// reference inline:

op run --env FRESHDESK_KEY=op://Vault/freshdesk/api-key -- \
  curl -s -H "Authorization: Bearer $FRESHDESK_KEY" \
  https://company.freshdesk.com/api/v2/tickets

The response body (data) is fine to read. The secret (the key) stays inside the subprocess.

This pattern applies to any HTTP tool — curl, httpie, wget, or a Python/Node script that reads from os.environ / process.env.

Running test scripts that need secrets

op run --env-file=.env -- pytest
op run --env-file=.env -- npm test
op run --env-file=.env -- node scripts/seed.js

.env file convention

The .env file contains only op:// references, never real values:

DATABASE_URL=op://Engineering/postgres-prod/connection-string
STRIPE_SECRET_KEY=op://Engineering/stripe/secret-key
FRESHDESK_API_KEY=op://Engineering/freshdesk/api-key

This file is safe to create, read, and edit — it contains no secrets. Still add .env to .gitignore as a safety net against someone manually replacing a reference with a real value.

Secret discovery

The user provides op:// references. If you don't know the reference path for a secret, ask the user. Do not guess or assume vault/item paths.

Vault metadata browsing (allowed)

You may run these commands to help the user locate the right reference:

op vault list
op item list --vault=VaultName

These return metadata (names, IDs) — not secret values. Use them only when the user asks for help finding a reference. Never pipe their output into other commands or use them to construct op read calls.

Writing application code

Reading environment variables in code is always safe — no secret is present at code-writing time:

import os
db_url = os.environ['DATABASE_URL']
const dbUrl = process.env.DATABASE_URL;
dbUrl := os.Getenv("DATABASE_URL")

The secret only exists when the code runs inside an op run subprocess.

Hidden characters in secrets

1Password CLI can append trailing newlines or whitespace to secret values. This silently breaks API keys, tokens, and connection strings. Always apply defensive trimming in application code:

api_key = os.environ['API_KEY'].strip()
const apiKey = process.env.API_KEY?.trim();
apiKey := strings.TrimSpace(os.Getenv("API_KEY"))

If a request using a valid-looking secret fails with an authentication error, the first diagnostic step is hidden trailing characters — not re-reading or re-resolving the secret.

Banned operations — hard stops

Never run any of these. If you find yourself constructing one of these commands, stop immediately and restructure using op run.

Banned patternWhy it leaks
op read op://...Returns plaintext secret to stdout — visible to agent and shell history
op item get --field passwordSame as above
export SECRET=$(op read...)Secret lands in shell environment and history
SECRET=$(op read...)Secret in shell variable, visible in agent context
echo $SECRET_VARPrints secret to terminal
printf, cat, env, printenv on secretsSurfaces secret values
Writing resolved values to any filePersists secret on disk
Piping op read or op item get to any commandSecret transits through stdout

Why $(op read...) is specifically dangerous

When the shell encounters $(op read op://Vault/item/field):

  1. op read executes and returns the plaintext secret to stdout
  2. The shell substitutes it into the parent command — the full command string now contains the real secret
  3. The agent sees the expanded command in the tool result — the secret is now in the conversation context
  4. Shell history logs the resolved command
  5. The process table shows the secret in command arguments while running

With op run, none of this happens. Resolution occurs inside the subprocess. The parent shell and the agent only ever see variable names.

Pre-commit hook setup (gitleaks)

Set up a pre-commit hook to catch accidental secret commits, regardless of whether the agent or a human made the mistake.

Using the pre-commit framework

Add to .pre-commit-config.yaml (use the latest stable rev from the gitleaks releases page):

repos:
  - repo: https://github.com/gitleaks/gitleaks
    rev: <latest version>
    hooks:
      - id: gitleaks

Then install:

pre-commit install

Using a raw git hook

If the project doesn't use the pre-commit framework:

cat > .git/hooks/pre-commit << 'EOF'
#!/bin/sh
gitleaks protect --staged --no-banner
EOF
chmod +x .git/hooks/pre-commit

This requires gitleaks to be installed (brew install gitleaks or equivalent).

What gitleaks catches

It scans staged files for patterns that look like real secrets — API keys, tokens, passwords, connection strings. It will not flag op:// references since those are not secrets. This is the safety net beneath the skill's behavioural rules.

Recovery protocol

If a secret is accidentally surfaced in the terminal or in the agent's context:

  1. Flag it immediately — tell the user a secret was exposed
  2. Advise rotation — the user should rotate the compromised secret in 1Password
  3. Clear terminal scrollback: clear && printf '\033[3J'
  4. Restart the agent session — the secret is in the conversation context and cannot be removed; starting a new session is the only way to purge it
  5. Check shell history — remove any commands that contain the secret: # Find and remove the offending line from history history # Then edit ~/.bash_history or ~/.zsh_history manually

Quick reference

I need to...Do this
Run a command that needs secretsop run --env-file=.env -- command
Hit an API endpoint with authop run --env VARNAME=op://v/i/f -- curl...
Start Docker services with secretsop run --env-file=.env -- docker-compose up
Run tests that need secretsop run --env-file=.env -- pytest
Find a secret reference pathAsk the user, or op item list --vault=Name
Create/edit a.env fileUse only op:// references, never real values
Read a secret in application codeos.environ['KEY'].strip() — trim always

平台分布

Codex

33.41%
按下载量换算28

Claude

28.14%
按下载量换算23

Cursor

19.54%
按下载量换算16

Gemini CLI

9.25%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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