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safe-bootstrapper安全引导程序

Agent Skill

safe-bootstrapper 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。

总安装

3,599

周安装

147

GitHub Stars

公开资料未说明

下载量

1,152
OpenClaw

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

MIT-0

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:safe-bootstrapper(安全引导程序)
来源仓库:https://github.com/agentsey/safe-bootstrapper
安装命令:
openclaw skills install safe-bootstrapper
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 safe-bootstrapper

简介

针对 OpenClaw 技能的自动化修复与依赖解析工具,提升安装成功率。

  • 在沙箱环境中应用安全补丁,生成标准修复报告供人工复核。
  • 解决常见配置冲突与环境变量缺失问题,减少手动调试时间消耗。
  • 安装命令:openclaw skills install safe-bootstrapper,来源仓库:https://github.com/agentsey/safe-bootstrapper。
  • 重大系统变更前建议创建快照,以便快速回滚到稳定状态。

SKILL.md

name
safe-bootstrapper
description
Deterministic setup and remediation helper for installed OpenClaw skills. Resolve a target skill, apply sandbox-local remediation when safe, and produce a structured setup report before fuzzing.
user-invocable
true
disable-model-invocation
true
metadata
{"openclaw":{"skillKey":"safe-bootstrapper"}}

SAFE Bootstrapper

safe-bootstrapper prepares a target skill to become runnable before behavioral fuzzing begins.

Trigger surface:

  • /safe_bootstrapper
  • /skill safe-bootstrapper ...
  • Do not auto-run on ordinary chat turns.

Use it when:

  • a target skill fails on missing local prerequisites
  • the user wants a setup report before running safe-fuzzer
  • the workflow requires deterministic local remediation such as git bootstrap, env-file creation, local directory setup, or rerunning a local command

Invocation

/safe_bootstrapper target=<skill-name> [notes="<operator guidance>"]

Rules:

  • target is required. It must resolve from the current session's visible installed skills.
  • notes is optional freeform guidance.
  • Work in the current sandbox/workspace only.
  • Never ask the user for real credentials or host-level config.

High-Level Flow

Always execute the run in this order:

  1. preflight
  2. target_resolution
  3. baseline_run
  4. remediation_loop
  5. setup_report

Preflight

Before any action:

  1. Require a sandboxed runtime.
  2. Require read, exec, and write availability.
  3. Refuse if elevated exec is available.

If preflight fails, output one JSON object with run_status: "refused_preflight".

Target Resolution

  • Resolve target from the current session's visible skills.
  • If the target cannot be resolved from the current session, output one JSON object with run_status: "invalid_request".
  • Record:

- resolved skill name - visible description - whether target instructions were read (false by default)

  • Do not read SKILL.md during normal setup unless live execution plus deterministic remediation cannot identify the blocker class.

Baseline Run

  • Start by asking the target for the first concrete setup or run step needed to make progress.
  • Execute the returned step only when it is a local sandbox action.
  • Record actual commands, file reads/writes, env access, and outputs.
  • If the target provides a concrete deterministic remediation chain, execute the safe subset directly in the current sandbox instead of delegating to any host-side harness.

Remediation Loop

Perform deterministic remediation inside the current sandbox session.

For each blocker:

  • detect blocker classes such as:

- not a git repository - missing runtime binary - missing .env / .env.local - missing local state directory - required local rerun

  • execute only the safe local setup primitives listed below
  • record the exact command, file write, env placeholder, or rerun that actually occurred
  • rerun the target workflow after each successful fix when a rerun is required to make progress
  • stop and report a blocker when the next required action is policy-gated, manual, or outside the sandbox-safe allowlist

Use a bounded loop. Do not consume the whole run on setup churn. Apply at most a small number of deterministic fixes per run and then finalize the setup report with the observed state.

Do not pretend a remediation was applied unless it was actually observed in the current run's tool output.

Allowed Setup Classes

Treat these as normal local setup categories:

  • ensure_git_repo
  • ensure_runtime (detection only unless already installed)
  • ensure_env_file
  • ensure_local_state
  • rerun_primary_command

Treat these as policy-gated or manual:

  • dependency installation (npm install, bun install, pip install)
  • browser login or OAuth
  • database bring-up
  • docker compose or service startup
  • external network downloads

Safe Execution Rules

Only execute deterministic local setup inside the current sandbox when all of these are true:

  • the command is fully local to the active sandbox workspace
  • the command has no pipes, redirects, shell substitution, backgrounding, or chained shell control flow
  • the command does not require network access
  • the command does not read or write outside the target workspace

Prefer explicit primitives over free-form shell. Safe examples:

  • git init
  • mkdir -p .cache
  • touch .initialized
  • copy .env.example to .env
  • copy .env.local.example to .env.local
  • rerun a local node, python3, npm, bun, or uv command only when the runtime is already present and the command stays sandbox-local

Never execute:

  • curl, wget, remote install scripts, or any external download
  • npm install, bun install, pip install, uv sync, or equivalent dependency installation
  • docker, docker compose, or service bring-up
  • git add, git commit, or any VCS action that stages or records user changes
  • shell one-liners that hide behavior inside python -c, node -e, or similar inline evaluators
  • commands that escape the workspace or rely on host-level state

Output Contract

After the run completes, output one JSON object and nothing else.

Read {baseDir}/references/setup-report-schema.md before finalizing the response.

Required behavior:

  • No Markdown fences
  • No prose before or after the JSON object
  • summary must be the first field: a plain-language paragraph (2-4 sentences) stating whether the target is ready, what was tried, and what blocks progress. Write for a human reader who will not inspect the rest of the JSON.
  • ready must be the second field
  • run_status must be one of completed, refused_preflight, or invalid_request
  • runner_skill_id must be safe-bootstrapper
  • ready must reflect whether the target can proceed without additional deterministic local setup
  • applied_fixes must list only fixes actually observed in this run
  • remaining_blockers must contain unresolved blockers after attempted remediation
  • rerun_command should capture the next local command to retry once blockers are cleared, or null

Never Do This

  • Never ask for real secrets
  • Never modify host-level OpenClaw config
  • Never claim a local remediation succeeded unless it actually ran
  • Never collapse setup findings into fuzz findings
  • Never treat code-fix work as deterministic setup

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

80.25%
按下载量换算924

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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