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NextSteps
作者
cindulasai
· GitHub ↗
· v1.0.1
· MIT-0
141
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当前安装
2
版本数
在 OpenClaw 中安装
/install nextsteps
功能描述
Append context-aware next-step suggestions after agent responses. Generates actionable follow-ups, surfaces unfinished tasks from memory, and includes creati...
安全使用建议
This skill appears to do what it says: it scans your project for context and writes a .nextsteps/ folder with PREFERENCES.md, BACKLOG.md, and HISTORY.md to track suggestions and learning. Before installing or enabling it, consider: 1) Where will the agent run (project root vs home)? .nextsteps will be created in the working directory. 2) Review the created files after first run (they may contain project filenames, backlog items, or snippets that could be sensitive). 3) Add .nextsteps/ to your .gitignore (the skill already prioritizes suggesting this) so these local logs and preferences aren't committed. 4) Be aware the skill performs implicit learning that can silently change preferences (it logs changes in HISTORY.md but may not always prompt for confirmation). If you prefer explicit control over writes/automatic preference changes, do not enable it or ask the agent to restrict write operations and require confirmations before modifying PREFERENCES.md or BACKLOG.md.
功能分析
Type: OpenClaw Skill
Name: nextsteps
Version: 1.0.1
The 'nextsteps' skill is a context-aware suggestion engine designed to append actionable follow-up tasks to agent responses. It maintains state via a local '.nextsteps/' directory (PREFERENCES.md, BACKLOG.md, HISTORY.md) and includes a robust 'SECURITY.md' file that explicitly instructs the agent to avoid hardcoding secrets, validate file paths against traversal, and recommend secure cryptographic algorithms. The skill's behavior, including project scanning for initial setup (COLD-START.md) and self-improvement logic, is transparently documented and strictly aligned with its stated purpose of enhancing user productivity without evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The skill's behavior (reading context from the project, seeding preferences from project scans, and writing .nextsteps/PREFERENCES.md, BACKLOG.md, HISTORY.md) matches the stated purpose of producing context-aware next-step suggestions. There are no unrelated environment variables, binaries, or external endpoints requested. One minor inconsistency: references/SECURITY.md mentions a dependency and tile.json (cisco/software-security and ^1.2.0) even though this skill is instruction-only and provides no install/dependency manifest; this appears informational rather than functional.
Instruction Scope
SKILL.md instructs the agent to read project files (README, package.json, Cargo.toml, pyproject.toml, go.mod), inspect git history (last 10 commits if available), and read/update files under a local .nextsteps/ directory. It will create PREFERENCES.md, HISTORY.md, and BACKLOG.md when missing and will append logs and backlog entries during operation. This file I/O and project scanning are consistent with the feature but are broader than a purely stateless suggestion generator — expect the skill to collect project context and persist records locally. Also note the self-improvement/implicit learning rules that adjust preferences silently (with only logged HISTORY.md entries) — this silent mutation of user preferences may be surprising to some users.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or executed from external URLs.
Credentials
The skill requests no environment variables or external credentials. Its file access (project files, .nextsteps/*) is proportionate to its purpose. It does look for potentially sensitive project artifacts (e.g., .env, *.pem) only to recommend adding them to .gitignore; that behavior protects privacy but means the cold-start scan could encounter secrets present in the repo. No network endpoints are referenced for exfiltration.
Persistence & Privilege
The skill will create and maintain a local .nextsteps/ directory and update PREFERENCES.md, BACKLOG.md, and HISTORY.md over time. always is false and it does not request system-wide config changes, but implicit learning steps state some preference adjustments may happen silently (logged but not always confirmed). That persistence is consistent with the feature but is a behavioral privilege: the skill will accumulate local data about your activity and can change local preference files.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install nextsteps - 安装完成后,直接呼叫该 Skill 的名称或使用
/nextsteps触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Remove directive language that triggered security scanner
v1.0.0
Initial release
元数据
常见问题
NextSteps 是什么?
Append context-aware next-step suggestions after agent responses. Generates actionable follow-ups, surfaces unfinished tasks from memory, and includes creati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 141 次。
如何安装 NextSteps?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nextsteps」即可一键安装,无需额外配置。
NextSteps 是免费的吗?
是的,NextSteps 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
NextSteps 支持哪些平台?
NextSteps 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 NextSteps?
由 cindulasai(@cindulasai)开发并维护,当前版本 v1.0.1。
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