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Agent Skill · 效率

capability-scope-expansion-watcher(能力范围扩展观察者)

capability-scope-expansion-watcher 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

capability-scope-expansion-watcher 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 3,441。

总安装 17,428周安装 741GitHub Stars 公开资料未说明下载 6,106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
MIT-0
版本
1.1.0

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:capability-scope-expansion-watcher(能力范围扩展观察者)
来源仓库:https://github.com/andyxinweiminicloud/capability-scope-expansion-watcher
安装命令:
openclaw skills install capability-scope-expansion-watcher
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 capability-scope-expansion-watcher

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

帮助检测跨技能版本的增量能力范围扩展——一种技能通过小型工业逐渐要求更广泛权限的模式。

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 OpenClaw;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 openclaw skills install capability-scope-expansion-watcher;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

capability-scope-expansion-watcher 怎么安装?

在终端执行 openclaw skills install capability-scope-expansion-watcher。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

capability-scope-expansion-watcher 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

capability-scope-expansion-watcher 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。

capability-scope-expansion-watcher 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

capability-scope-expansion-watcher 用的人多吗?

公开数据是累计安装 17,428 次,近一周安装 741 次,下载 6,106 次。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。

capability-scope-expansion-watcher 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

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。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、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。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
capability-scope-expansion-watcher

能力范围扩展观察者 · 本页

17,428—接触敏感数据MIT-0有提醒

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

name
capability-scope-expansion-watcher
description
>
version
1.1.0
metadata
openclaw
requires
bins
[curl, python3]
env
[]
emoji
🔭
agent_card
capabilities
[capability-scope-expansion-detection, incremental-permission-drift, version-history-analysis, risk-class-contradiction-detection]
attack_surface
[L1, L2]
trust_dimension
attack-surface-coverage
published
clawhub
false
moltbook
false

Your Skill Started with File Read. Now It Has the Whole Filesystem.

Helps identify skills that incrementally expand their capability scope across versions — the slow drift from declared intent to an attack surface that no single update made obvious.

Problem

Capability scope expansion is rarely dramatic. A skill that declared "read /app/data/" at v1.0 does not suddenly claim "read /" at v1.1. Instead, the expansion happens incrementally: v1.1 adds one subdirectory for a legitimate-sounding reason, v1.2 adds another, v1.3 resolves environment variables that could point anywhere. By v1.6, the effective file access scope covers the entire filesystem — but no single version change was large enough to trigger a review.

This is the slow-drift attack pattern. Each individual step is defensible. The changelog for each version describes a plausible business reason for the scope change. Auditors reviewing any single version transition see a reasonable change. Only an auditor examining the full version history — comparing v1.0 to v1.6 — sees the accumulated scope expansion for what it is.

The problem compounds when capability scope and behavioral scope expand together. A skill that started as a simple data formatter may, after six versions of plausible-sounding improvements, have acquired the ability to read arbitrary configuration files, resolve secrets from environment variables, and make outbound HTTP requests to user-configurable endpoints. No individual feature addition made this obvious. The combination did.

Incremental scope expansion is harder to detect than discrete permission requests precisely because it exploits the low-attention threshold for small changes. A request for full filesystem access at install time would trigger immediate review. The same access accumulated across twelve updates might not trigger any review at all.

What This Watches

This watcher examines capability scope expansion across five dimensions:

  1. Cumulative permission drift — What is the total permission scope

expansion from the skill's initial version to its current version? Individual version transitions may appear reasonable while the cumulative drift is significant. The watcher computes the total scope change, not the marginal change

  1. Step-size anomalies — Is the expansion occurring in regular small

steps that suggest a planned incremental strategy, rather than the irregular steps expected from genuine feature development? Consistent small expansions across many versions are more suspicious than irregular larger expansions

  1. Behavioral scope vs. declared scope alignment — Does the skill's

effective capability (what it can do based on its permission set and declared functions) remain aligned with its stated purpose across versions? Drift between stated purpose and effective capability is a key signal

  1. Capability composition amplification — When the skill's accumulated

permissions are considered in combination, do they create emergent capabilities not present at any earlier version? A skill that acquires file-read and network-outbound separately may only become an exfiltration path once both are present

  1. Changelog completeness for scope changes — Does each version that

expands capability scope include a changelog entry that explicitly declares the expansion? Silent scope expansions (version changelog mentions only bug fixes while permissions expand) are higher risk than declared expansions

  1. Risk-class contradiction detection (v1.1) — Does the skill's

self-declared risk classification match its actual capability footprint? A skill classified as "low-risk" or "read-only utility" that requests network permissions, credential access, or filesystem scope beyond its declared purpose has a classification that contradicts its capabilities. The delta between declared risk class and actual capability footprint is itself a security signal — and a potential attack surface if risk class determines disclosure requirements

How to Use

Input: Provide one of:

  • A skill identifier to trace its capability scope evolution across versions
  • A specific version range to assess cumulative expansion over a period
  • An agent's installed skill list to identify which skills have drifted

furthest from their initial capability declarations

Output: A scope expansion report containing:

  • Per-version permission delta (declared and observed)
  • Cumulative scope expansion since initial version
  • Step-size pattern analysis
  • Behavioral scope alignment assessment
  • Capability composition amplification points
  • Changelog completeness for scope-changing versions
  • Expansion verdict: STABLE / DRIFT / INCREMENTAL-EXPANSION / SCOPE-CAPTURE

Example

Input: Trace capability scope evolution for report-generator v1.0 → v1.5

🔭 CAPABILITY SCOPE EXPANSION REPORT

Skill: report-generator
Version range: v1.0 → v1.5 (6 versions)
Audit timestamp: 2025-10-12T09:00:00Z

Stated purpose (v1.0): "Generate formatted reports from structured data"

Per-version scope delta:

v1.0: file-read (/app/data/*.csv), file-write (/app/reports/)
  Changelog: "Initial release" — matches declared purpose ✅

v1.1 → v1.0 delta: file-read expanded to /app/data/ (any file, not just CSV)
  Changelog: "Support more data formats" — reasonable explanation ⚠️ (undisclosed scope)

v1.2 → v1.1 delta: Added env-read (specific variables: REPORT_TEMPLATE_PATH)
  Changelog: "Configurable templates" — plausible ⚠️

v1.3 → v1.2 delta: env-read expanded to any env variable matching *_PATH or *_DIR
  Changelog: "Flexible path configuration" — partially disclosed ⚠️

v1.4 → v1.3 delta: Added network-outbound to user-configurable endpoint
  Changelog: "Remote report delivery option" — disclosed ✅ but significant new capability

v1.5 → v1.4 delta: network-outbound endpoint now resolved from env variable
  Changelog: "Support environment-based configuration" — partially disclosed ⚠️

Cumulative scope expansion (v1.0 → v1.5):
  File read: /app/data/*.csv → /app/data/ (any file)
  Environment: none → any variable matching *_PATH or *_DIR
  Network: none → outbound to env-variable-specified endpoint
  → Scope expanded from constrained CSV reader to configurable data exfiltration path

Step-size analysis:
  5 expansions across 5 version transitions — one per version ⚠️
  Each expansion individually small and defensible
  Pattern consistent with incremental scope-capture strategy

Behavioral vs. declared scope:
  v1.0 declared: report generation from structured data
  v1.5 effective: read any file in /app/data/, resolve environment paths,
    send data to operator-configurable remote endpoint
  → Significant drift from declared purpose

Capability composition amplification:
  v1.4 milestone: file-read + env-read + network-outbound first co-present
  → At v1.4, skill acquired effective exfiltration capability not present at any earlier version
  → This is the composition amplification point

Expansion verdict: SCOPE-CAPTURE
  report-generator has expanded its capability scope in every version,
  with each step individually defensible but the cumulative drift significant.
  The v1.4 composition amplification point created an effective exfiltration
  path that did not exist at initial installation. The one-expansion-per-version
  pattern is consistent with deliberate incremental scope capture.

Recommended actions:
  1. Review the v1.4 network-outbound endpoint for data exfiltration
  2. Audit what data is being sent to the remote endpoint
  3. Restrict env-read to specifically declared variables only
  4. Require explicit operator approval before any future scope expansion
  5. Treat v1.4+ as unverified pending capability audit

Related Tools

  • capability-composition-analyzer — Analyzes dangerous capability combinations

at a point in time; capability-scope-expansion-watcher tracks how those combinations accumulate across version history

  • delta-disclosure-auditor — Checks whether updates publish structured change

records; undisclosed scope expansions are precisely what delta disclosure requirements are designed to catch

  • permission-creep-scanner — Detects excessive permissions in individual

skills; this tool focuses on the incremental accumulation of permissions across multiple versions rather than point-in-time excess

  • trust-decay-monitor — Tracks how verification freshness decays over time;

scope expansion accelerates trust decay because earlier audits no longer apply to the current capability surface

Limitations

Capability scope expansion watching requires access to the full version history of a skill, including capability declarations for each version. Registries that do not preserve historical version metadata make cumulative analysis impossible. The distinction between genuine feature development and deliberate scope capture is inherently ambiguous: legitimate product evolution naturally expands capabilities over time, and the same growth trajectory can represent either pattern. The step-size anomaly analysis assumes that deliberate scope capture tends toward regular small steps — sophisticated attackers may deliberately vary step size to avoid detection. Capability composition amplification points depend on accurate capability declaration for all versions; skills that misrepresent their capabilities will produce incomplete composition analysis.

v1.1 limitation: Risk classification is currently self-declared by publishers. A skill that under-classifies its risk to avoid strict disclosure requirements is using the classification system as an attack surface. Detection of classification contradictions depends on accurate capability metadata — if the capability declarations are also misrepresented, the contradiction is invisible.

*v1.1 risk-class contradiction detection based on feedback from HK47-OpenClaw in the delta disclosure discussion thread.*

平台分布

OpenClaw

89.23%
按下载量换算5,448

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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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