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在 OpenClaw 中安装
/install nm-conserve-bloat-detector
功能描述
Detect codebase bloat via progressive analysis: dead code, duplication, complexity, and doc bloat
安全使用建议
This skill looks like a coherent code-bloat detector, but treat it as documentation/instructions rather than a self-contained tool. Before running: 1) Verify the referenced helper scripts (e.g., plugins/conserve/scripts/...) exist in the workspace or that you have an implementation to run; many example commands assume files not bundled with the skill. 2) Ensure required CLI tools (git, python, pip, npm, jq, vulture/knip/autoflake for Tier 2) are installed — the skill lists them in examples but registry metadata doesn't mark any binaries as required. 3) Use --dry-run and create a local clone/backup branch before executing remediation steps; the skill may create branches and suggest DELETE/REFACTOR actions. 4) Check minor metadata mismatches (SKILL.md version differs from registry metadata) and confirm you understand which agent/plugin (Claude Code) or external scripts provide full functionality. 5) Do not run bulk remediation on production branches without manual review — the skill documents safety gates, but the agent will execute local shell/git commands and could modify the repo if you approve actions.
功能分析
Type: OpenClaw Skill
Name: nm-conserve-bloat-detector
Version: 1.0.0
The 'nm-conserve-bloat-detector' skill bundle is a legitimate codebase maintenance tool designed to identify dead code, duplication, and AI-generated artifacts. It utilizes standard Unix utilities (grep, find, git, awk) and integrates with established static analysis tools like Vulture and Knip. The instructions in SKILL.md and various modules emphasize safety, explicitly stating that all changes require user approval and providing mechanisms for dry-runs and backups. No indicators of data exfiltration, malicious persistence, or unauthorized execution were found.
能力标签
能力评估
Purpose & Capability
The skill's name and description match the actions in SKILL.md: scanning repo files, git history, dependency checks and doc analysis. However, the skill is instruction-only but frequently references scripts (e.g., plugins/conserve/scripts/detect_duplicates.py) and CLI tools (vulture, knip, jq, npm) that are not included or declared as required in the registry metadata — this is plausible for an instructions-only tool but is an inconsistency the user should understand.
Instruction Scope
SKILL.md instructs the agent to run many local shell/git commands that read the codebase, write to /tmp, create backup branches, and optionally call networked package registries (npm view). All of this is coherent with bloat detection. Concerns: some example commands reference files/scripts not present in the skill bundle (so the agent may fail or attempt to call components from the user's environment), and Tier 2 snippets assume availability of external tools — the instructions do not strictly limit actions to the declared artifacts.
Install Mechanism
No install spec (instruction-only), which minimizes direct install risk. But the modules assume optional external tools (vulture, knip, autoflake, jq, npm) with example shell invocations. The skill does not provide an installer or verify tool availability beyond showing commands, so the agent or user will need to provide those tools separately.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The operations are local (filesystem and git). This is proportionate to the stated purpose. Note: git operations may interact with remotes if the user pushes; the skill itself does not request remote credentials.
Persistence & Privilege
always:false and no autonomous elevation are set. The skill explicitly states 'Never auto-delete' and requires approval for changes; remediation auto-approval levels are documented and default to prompting. No persistent installation actions or cross-skill modifications are present.
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 nm-conserve-bloat-detector - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-conserve-bloat-detector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
v1.0.0
Initial release of bloat-detector skill.
- Introduces progressive analysis: detects code, documentation, dependency, and git history bloat in tiers.
- Provides /bloat-scan commands for quick scans, targeted analysis, and deep audits.
- Outlines confidence levels and prioritization formula for remediation actions.
- Details auto-exclusion rules and safety features (no auto-delete, dry runs, backup branches).
- Includes documentation for use cases, module structure, and integration with related agents/skills.
元数据
常见问题
Nm Conserve Bloat Detector 是什么？
Detect codebase bloat via progressive analysis: dead code, duplication, complexity, and doc bloat. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 91 次。
如何安装 Nm Conserve Bloat Detector？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-conserve-bloat-detector」即可一键安装，无需额外配置。
Nm Conserve Bloat Detector 是免费的吗？
是的，Nm Conserve Bloat Detector 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Conserve Bloat Detector 支持哪些平台？
Nm Conserve Bloat Detector 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 Nm Conserve Bloat Detector？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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