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Agent Skill · 研究检索

openclaw-client-bootstrap(OpenClaw client bootstrap 搜索)

openclaw-client-bootstrap 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

openclaw-client-bootstrap 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 55,410。

总安装 480周安装 20GitHub Stars 4下载 160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:openclaw-client-bootstrap(OpenClaw client bootstrap 搜索)
来源仓库:https://github.com/build000r/skills
仓库路径:skills/openclaw-client-bootstrap
安装命令:
npx skills add https://github.com/build000r/skills --skill openclaw-client-bootstrap
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/build000r/skills --skill openclaw-client-bootstrap

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。

openclaw-client-bootstrap 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。适用于研究检索类任务,支持基于关键词或上下文进行信息聚合与过滤。

通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法需结合原始 README 进一步确认。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操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/openclaw-client-bootstrap

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/build000r/skills --skill openclaw-client-boots…;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

openclaw-client-bootstrap 怎么安装?

在终端执行 npx skills add https://github.com/build000r/skills --skill openclaw-client-bootstrap。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-client-bootstrap 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。

openclaw-client-bootstrap 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。

openclaw-client-bootstrap 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。

openclaw-client-bootstrap 用的人多吗?

公开数据是累计安装 480 次,近一周安装 20 次,下载 160 次,GitHub 4 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。

openclaw-client-bootstrap 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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 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
openclaw-client-bootstrap

OpenClaw client bootstrap 搜索 · 本页

4804接触敏感数据未明确未通过

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

OpenClaw Client Bootstrap

Create and apply a reusable client kit for OpenClaw with strict governance:

  • private gateway exposure through Tailscale
  • Tailnet-only SSH with non-root logins by default
  • Telegram notification channel (sends portal links for approval events)
  • SPAPS approval backend with Unclawg portal for human review
  • read-only credentials in OpenClaw
  • explicit write-gateway contract for all external mutations

Use This For

  • New OpenClaw client box bootstraps on a fresh droplet
  • Co-located OpenClaw container setups on an existing box
  • Recovery, rotation, or governed re-bootstrap of an existing client kit

Do Not Use This For

  • Day-to-day waitlist or portal admin actions
  • Discovery, feed, or revision-processing runtime flows
  • Upstream OpenClaw docs drift audits without deployment work

AI Runtime-First Skill Split

Treat tracked skills as AI runtime instructions, and keep operator/admin runbooks private.

  • Runtime skills must be wrapper-only (tools.exec.security: "allowlist" + safeBins).
  • Runtime skills should fail closed when required wrapper bins are missing.
  • Keep local project overlays in modes/ (gitignored).
  • Keep admin-only skills (for example unclawg-admin) gitignored/private.
  • Keep deploy secrets gitignored/private. If you automate runtime sync in CI, keep host keys, SSH material, and live deploy targets in your own secret store. Do not commit live-instance workflows to the public repo.
  • Do not point a production claw at ../skills wholesale; curate a runtime-safe subset.

Architectural Decision First

Before collecting inputs or building a kit, decide:

New droplet (Option A) — full isolation, separate Tailscale node, separate billing. Best for client deployments or high-volume autonomous claws.

Existing droplet, new Docker container (Option B) — co-located, separate Telegram bot, separate agent key, separate SPAPS agent. Best for purpose-specific internal claws added to an existing box (e.g., a content-creation agent alongside an ops agent). Saves ~$12-18/mo.

See references/deployment-workflow.md — "Architectural Decision" section for isolation guarantees, trade-offs, and Option B deploy steps (skip bootstrap-do.sh + Tailscale, use a different systemd service name).

Also decide storage before building the kit: root disk (default, free), DO Block volume per claw ($1-2/mo, detachable — best if you may migrate later), or shared volume with per-claw subdirs ($1/mo for co-located claws). See "Storage Decision" section in the same file.

On Trigger: Instantiate the Kit

Resolve the bundled generator script, then create a client kit directory.

GEN="$(ls ~/.codex/skills/openclaw-client-bootstrap/scripts/new_client_kit.sh ~/.claude/skills/openclaw-client-bootstrap/scripts/new_client_kit.sh ./scripts/new_client_kit.sh 2>/dev/null | head -1)"
bash "$GEN" --dest /tmp/<client>-openclaw --interactive

If ./scripts/... is used, run the command from the skill directory.

Required Inputs Before Deployment

Collect these before touching the droplet:

  1. Client name and environment label
  2. Telegram operator user ID allowlist
  3. Telegram group chat ID (and optional topic ID)
  4. Telegram bot token (from BotFather)
  5. SPAPS credentials (API URL, API key, agent ID, agent secret)
  6. Unclawg portal URL
  7. Tailscale auth key and node hostname
  8. Integration inventory with read-only scopes

Reference: references/deployment-workflow.md

Customize the Kit

  1. Fill .env values (including SPAPS credentials).
  2. Replace Telegram placeholders in openclaw.json:

- {{TELEGRAM_ALLOWED_USER_ID}} - {{TELEGRAM_GROUP_CHAT_ID}} - Optional: add topicId per group entry when topic-scoped. - Keep approvals.exec.targets[*].to concrete (numeric ID or explicit chat ID), not ${env:...}.

  1. Review SOUL.md, AGENTS.md, and USER.md for client-specific constraints.
  2. Keep security/WRITE_GATEWAY_CONTRACT.md intact unless compliance requires stricter rules.
  3. For any new endpoint + skill combo, follow security/PERMISSIONS_PLAYBOOK.md (wrapper + allowlist pattern).

Review / Grade Implementation

Run the review script for a second-pass quality check against the review rubric:

REV="$(ls ~/.codex/skills/openclaw-client-bootstrap/scripts/review_kit.sh ~/.claude/skills/openclaw-client-bootstrap/scripts/review_kit.sh 2>/dev/null | head -1)"
bash "$REV" --skill                    # review the skill template
bash "$REV" /tmp/<client>-openclaw     # review a generated kit
bash "$REV" --live                     # SSH into droplet and review live deployment
bash "$REV" --live openclaw@<tailscale-ip> # specific host
bash "$REV" --live --host <tailscale-ip> --ssh-user aiops # dedicated collab login
bash "$REV" --live --service openclaw-<claw>.service --home /home/<claw-user>/.openclaw --user openclaw
bash "$REV" --live --strict            # production gate: missing SPAPS/portal vars fail

Three modes:

  • --skill / default: 44 file-based checks across config, env, scripts, docs, generator, validator
  • /path/to/kit: same checks on a generated kit
  • --live: SSHes into the droplet via review_live.sh and runs 30+ checks against the running deployment (service health, Node/Docker, live config schema, SPAPS/portal connectivity, Tailscale, security posture, recent logs). Auto-detects host from local references/deployed-instances.md when present.

Talking to Agents via CLI (Debug & Bug-Fixing)

Use the bundled scripts/talk.sh for all agent interaction, log tailing, and SSH access. It reads references/deployed-instances.md automatically — no manual env var wrangling.

TALK="$(ls ~/.codex/skills/openclaw-client-bootstrap/scripts/talk.sh \
           ~/.claude/skills/openclaw-client-bootstrap/scripts/talk.sh \
           ./scripts/talk.sh \
           2>/dev/null | head -1)"

bash "$TALK" --list                                        # see all claws + live agent IDs
bash "$TALK" --message "what work is queued?"              # message primary claw
bash "$TALK" --claw my-claw --message "hello"              # message a co-located claw
bash "$TALK" --claw example-claw --message "follow up" --session-id <id>  # continue thread
bash "$TALK" --claw example-claw --tail                    # tail logs live (Ctrl-C to stop)
bash "$TALK" --claw example-claw --logs 100                # last 100 log lines
bash "$TALK" --health                                      # health summary for all claws
bash "$TALK" --health --claw example-claw                  # health summary for one claw
bash "$TALK" --health --emit-logs --log-dir ~/.openclaw/logs --log-prefix openclaw  # health + persisted snapshots
bash "$TALK" --ssh                                         # plain SSH into the droplet (non-root)
bash "$TALK" --ssh-user aiops --ssh                        # use dedicated collab user
bash "$TALK" --claw example-claw --ssh                     # SSH with claw env pre-loaded

Positional shorthand: talk.sh example-claw "message" is equivalent to --claw example-claw --message "message".

Agent IDs vs persona names: The --agent value (auto-discovered from agents list) is the agent config ID like content-creator. The persona name lives in SOUL.md — these are different. --list shows both.

Co-located claws: talk.sh handles the OPENCLAW_STATE_DIR / OPENCLAW_CONFIG_PATH env var override automatically. --ssh --claw <name> drops you into a shell with those vars already exported.

Gateway 1006 fallback: If the gateway WebSocket closes with code 1006, openclaw agent falls back to embedded mode. The response is still valid — but check journalctl -u <service> -n 50 to investigate the underlying issue.

Additional flags: --thinking medium for more deliberate reasoning, --agent <id> to override auto-discovery, --json for machine-readable --health output.

For local integration workflows, use: --emit-logs, --log-dir, and --log-prefix to persist remote claw health snapshots.

Provider/Auth Rotation (Codex/OpenAI/OpenRouter/Anthropic)

Use scripts/update-oauth-token.sh as the single path for credential updates across co-located claws.

# Codex OAuth (default): ~/.codex/auth.json -> OPENAI_API_KEY
bash scripts/update-oauth-token.sh --dry-run
bash scripts/update-oauth-token.sh
bash scripts/update-oauth-token.sh --ssh-user aiops

# Direct OpenAI API key (preferred when OAuth is org-restricted)
OPENAI_API_KEY=sk-proj-... bash scripts/update-oauth-token.sh --openai

# OpenRouter key
OPENROUTER_API_KEY=sk-or-v1-... bash scripts/update-oauth-token.sh --openrouter

# Anthropic swap (stdin preferred)
echo "sk-ant-..." | bash scripts/update-oauth-token.sh --anthropic

What this script now enforces:

  • Updates shared env (<openclaw-home>/shared.env by default) and each claw .env
  • For Codex, writes canonical auth-profiles.json store (version/profiles/order) for openai-codex under every agent dir
  • Warns on model/provider mismatch (openai|openai-codex vs openrouter/* vs anthropic/*)
  • Warns if agents.defaults.model.reasoningEffort exists (can trigger Unknown config keys on this runtime)

If you hit OpenAI scope errors like Missing scopes: api.responses.write, switch from --codex to:

  • --openai with a direct OpenAI API key, or
  • --openrouter with openrouter/* model IDs.

Do not hand-edit auth-profiles.json unless diagnosing parser behavior.

Deterministic Recovery Order

When a claw fails after provider/model changes, recover in this exact order:

  1. Fix model in each openclaw.json (agents.defaults.model.primary only).
  2. Run bash scripts/update-oauth-token.sh... for the target provider.
  3. Restart services (script does this unless --no-restart).
  4. Verify:

- bash scripts/talk.sh --list - bash scripts/talk.sh --health - bash scripts/talk.sh --health --require-root-proof --json (definitive SSH/UFW proof; fails if checks are inferred) - bash scripts/talk.sh --claw <name> --new --message "Reply ONLY: OK"

If talk.sh says Could not auto-discover agent ID, re-run with --agent <id> from --list.

Continuous Improvement Loop (Use skill-issue)

After every incident or rollout, run this loop to keep the bootstrap skill accurate:

  1. Audit current template and scripts

- bash scripts/review_kit.sh --skill

  1. Audit each live claw

- bash scripts/review_live.sh --host <ip> --service <unit> --home <openclaw-home> --user <app-user>

  1. Capture drift and breakages

- Record root cause + fix in references/deployment-workflow.md and update template assets/scripts

  1. Patch the reusable kit, not just the live box

- Update assets/client-kit/*, then sync any private instance snapshots in your ignored assets/instances/<claw>/

  1. Re-validate

- bash scripts/validate_client_kit.sh assets/client-kit - bash scripts/review_kit.sh --skill

Validate Before Shipping

Run the bundled validation script against the generated kit:

VAL="$(ls ~/.codex/skills/openclaw-client-bootstrap/scripts/validate_client_kit.sh ~/.claude/skills/openclaw-client-bootstrap/scripts/validate_client_kit.sh ./scripts/validate_client_kit.sh 2>/dev/null | head -1)"
bash "$VAL" /tmp/<client>-openclaw

Reject the deployment if:

  • placeholders remain in openclaw.json
  • placeholder secrets remain in .env
  • removed config keys detected (v2026.2.15 schema violations)
  • any kit script fails shell syntax checks

Deploy Workflow

Use the generated kit's scripts in this order on the droplet:

  1. scripts/01-bootstrap-do.sh
  2. scripts/02-install-tailscale.sh
  3. scripts/03-install-openclaw.sh
  4. scripts/04-validate.sh
  5. Optional for shared operator sessions: scripts/05-setup-collab-tmux.sh

Then verify Telegram notification delivery and SPAPS/portal connectivity.

Cloud firewall requirement: remove public 22/tcp and rely on Tailnet SSH only.

Reference: references/deployment-workflow.md

Governance Rules (Do Not Relax By Default)

  1. OpenClaw stores read-only credentials only.
  2. External writes are proposed, never executed directly.
  3. Write execution requires human approval through the Unclawg portal, backed by SPAPS.
  4. Operator approvals must be logged with identity, timestamp, payload hash, and result.

Reference: references/read-only-governance.md

Deployed Instances

Two-tier tracking — non-secret config committed, secrets server-only:

  • assets/instances/<claw-name>/ — committed source of truth for each claw's openclaw.json, SOUL.md, AGENTS.md, USER.md, .env.example. If the droplet root disk is lost, redeploy from here.
  • references/deployed-instances.md — private instance registry with IPs and connection details (gitignored)
  • .env on server — real secrets, never committed

See assets/instances/README.md for the full pattern and redeploy steps.

After bootstrapping any new claw: copy its non-secret files into assets/instances/<claw-name>/ and commit.

Minimum Droplet Specs

  • RAM: 2 GB minimum (gateway uses ~800MB; 1GB will OOM)
  • Swap: 2 GB recommended
  • Docker: Required for agent sandbox mode
  • Node heap: Set NODE_OPTIONS=--max-old-space-size=768 in systemd service

Config Schema Notes (v2026.2.15+)

The kit template may need these fixes for current OpenClaw versions:

  • channels.pairing is not a valid channel — use channels.telegram.groupPolicy + groupAllowFrom + groups
  • Telegram token key is botToken, not token
  • tools.exec.ask expects "off"|"on-miss"|"always", not an array
  • tools.policyMode, tools.exec.fallback, tools.exec.rules are not recognized — do not add them
  • tools.elevated.require / allowWhenRequestedBy are not recognized; use tools.elevated.enabled + tools.elevated.allowFrom.telegram
  • Run tailscale set --operator=<app_user> for Tailscale serve permissions

Updates for v2026.2.17–2026.2.18

  • tools.exec.safeBins required — now enforced; entries must be executable names (e.g. ["jq", "grep", "cut", "sort", "uniq", "head", "tail", "tr", "wc", "echo", "printf"]), not directory paths like /usr/bin. Missing or path-style entries can cause exec denied: allowlist miss.
  • Ask mode for allowlist security — when using tools.exec.security: "allowlist" for autonomous reads, use tools.exec.ask: "on-miss" so non-allowlisted commands route to approvals instead of hard-denying.
  • Approval recipient interpolation — avoid ${env:...} in approvals.exec.targets[*].to; set a concrete Telegram user/chat ID.
  • Cron webhook auth token — SPAPS_WEBHOOK_AUTH_TOKEN is now supported for authenticated webhook delivery to SPAPS. Add to .env and wire into any cron channel config.
  • SSRF guards on cron webhooks — v2026.2.18 blocks private RFC1918 ranges, NAT64, 6to4, and Teredo in webhook POST targets. SPAPS_API_URL must be a public or Tailscale-routable hostname (not a raw private IP).
  • Model forward compat — pin to a runtime-supported model id (for example anthropic/claude-haiku-4-5-20251001 on OpenClaw 2026.2.17). Validate from live logs before rollout.
  • Telegram inline button styles — approval notifications can use primary, success, danger button styles for Approve/Reject UX.
  • Co-located claws — use APP_HOME, OPENCLAW_HOME, and OPENCLAW_SERVICE_NAME when installing additional claws on the same droplet.
  • Native approval forwarding schema — current runtime supports approvals.exec.mode: session|targets|both; avoid legacy spaps mode blocks in openclaw.json.
  • Runtime placeholders — {{MediaPath}}, {{Prompt}}, {{MaxChars}} are valid runtime tokens for CLI media models; do not treat these as unresolved template placeholders.

Updates for v2026.2.19–v2026.2.26

  • BREAKING: SafeBins trusted directory enforcement — tools.exec.safeBins entries must resolve from trusted bin directories (default: /bin, /usr/bin only). Custom bin paths (e.g. /home/openclaw/.openclaw/bin) require explicit opt-in via tools.exec.safeBinTrustedDirs. Without this, custom safeBin entries will fail resolution at runtime.
  • BREAKING: sort and grep removed from default safe bins — upstream hardened defaults to remove sort (file write via -o) and grep (recursive reads). Explicitly listing them in config still works but triggers openclaw doctor warnings. Keep them if needed for read-only analysis, but ensure safeBinTrustedDirs covers their parent directory.
  • BREAKING: Heartbeat directPolicy — new key agents.defaults.heartbeat.directPolicy (allow | block) replaces DM toggle. Default changed to allow in v2026.2.24. Set "block" if DM heartbeat delivery is undesired for client claws.
  • BREAKING: Docker container namespace join blocked — network: "container:<id>" blocked by default. Break-glass: agents.defaults.sandbox.docker.dangerouslyAllowContainerNamespaceJoin: true.
  • BREAKING: DM allowlist enforcement tightened — dmPolicy: "allowlist" with empty allowFrom now silently drops all DMs (was permissive). Always populate allowFrom when using allowlist policy. openclaw doctor --fix restores from pairing-store.
  • Telegram streamMode deprecated — replace "streamMode": "partial" with "streaming": true. Legacy values auto-mapped but deprecated since v2026.2.21.
  • Browser SSRF policy key renamed — browser.ssrfPolicy.allowPrivateNetwork renamed to browser.ssrfPolicy.dangerouslyAllowPrivateNetwork. openclaw doctor --fix auto-migrates.
  • Secrets management — new top-level secrets config block (secrets.providers, secrets.defaults) for env/file/exec secret sources. openclaw secrets audit/configure/apply/reload CLI workflow available.
  • Plugin entries resilience — plugins.entries.* with unknown IDs now logs warnings instead of crash-looping gateway boot.
  • Node exec approvals hardened — structured commandArgv approvals for host=node, GIT_EXTERNAL_DIFF blocked in host env keys.
  • Auth profile alias normalization — mode -> type, apiKey -> key aliases accepted in auth-profiles.json.
  • openai-codex-responses accepted in config model API schema.
  • session.parentForkMaxTokens — default 100000 (0 disables). Prevents oversized parent-session inheritance from bricking thread sessions.
  • meta.lastTouchedAt accepts numeric timestamps — coerces Date.now() values to ISO strings for forward compat.
  • gateway.http.securityHeaders.strictTransportSecurity — optional HSTS header for direct HTTPS deployments.

Bundled Assets

The complete production template lives in:

  • assets/client-kit/openclaw.json
  • assets/client-kit/.env.example
  • assets/client-kit/SOUL.md
  • assets/client-kit/AGENTS.md
  • assets/client-kit/USER.md
  • assets/client-kit/checklists/*
  • assets/client-kit/security/WRITE_GATEWAY_CONTRACT.md
  • assets/client-kit/security/PERMISSIONS_PLAYBOOK.md
  • assets/client-kit/scripts/*

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

Codex

33.44%
按下载量换算54

Claude

30.86%
按下载量换算49

Cursor

16.09%
按下载量换算26

Gemini CLI

9.73%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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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