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Install in OpenClaw
/install nm-conserve-bloat-detector
Description
Detect codebase bloat via progressive analysis: dead code, duplication, complexity, and doc bloat
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-conserve-bloat-detector - After installation, invoke the skill by name or use
/nm-conserve-bloat-detector - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Nm Conserve Bloat Detector?
Detect codebase bloat via progressive analysis: dead code, duplication, complexity, and doc bloat. It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.
How do I install Nm Conserve Bloat Detector?
Run "/install nm-conserve-bloat-detector" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Conserve Bloat Detector free?
Yes, Nm Conserve Bloat Detector is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Conserve Bloat Detector support?
Nm Conserve Bloat Detector is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Conserve Bloat Detector?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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