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1password-secret-references1password 秘密参考

Agent Skill

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。

总安装

238

周安装

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GitHub Stars

3

下载量

83
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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

unknown

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: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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

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按下载量换算28

Claude

28.14%
按下载量换算23

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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

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。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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