usage-audit
Analyzes context usage to identify token waste and provide optimization fixes.
Install
mkdir -p .claude/skills/usage-audit && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16780" && unzip -o skill.zip -d .claude/skills/usage-audit && rm skill.zipInstalls to .claude/skills/usage-audit
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Audit your Claude Code setup for token waste and context bloat. Use when the user says "audit my context", "check my settings", "why is Claude so slow", "token optimization", "context audit", or runs /context-audit. Starts by running /context to see real overhead, then audits MCP servers, CLAUDE.md rules, skills, settings, and file permissions. Returns a health score with specific fixes.Key capabilities
- →Audit MCP servers for token overhead
- →Scan CLAUDE.md files for rule quality
- →Check skill files for length and instruction quality
- →Review settings.json for autocompact and bash output overrides
- →Examine file permissions for bloat directory denials
- →Calculate a health score and suggest fixes
How it works
The skill analyzes the provided /context output, then audits MCP servers, CLAUDE.md rules, skills, settings, and file permissions. It calculates a health score based on identified issues.
Inputs & outputs
When to use usage-audit
- →Audit context
- →Check token usage
- →Optimize settings
About this skill
Usage Audit
Bloated context costs more and produces worse output. This skill finds the waste and tells you what to cut.
Step 1: Get /context Data
Check the conversation history for /context output. If the user already ran /context in this session, use that data. If not, ask:
"Run /context in this session terminal and let me know when you're done. I can't run slash commands myself, but once I can see the breakdown I'll audit everything it flags."
STOP HERE. Do NOT proceed to Step 2 until the user has ran /context. The context breakdown determines what to audit and in what order. Without it, the audit is guessing. Output the message above and wait for the user's next message.
Step 2: Audit What's Bloated
Based on the /context output, audit each category from largest to smallest. Run checks in parallel where possible.
MCP Servers
Each server loads full tool definitions into context every turn (~15,000-20,000 tokens each).
- Count configured servers from settings.json
- Flag any with CLI alternatives (Playwright, Google Workspace, GitHub all have CLIs that cost zero tokens when idle)
- Report total MCP overhead from /context output
CLAUDE.md
Read all CLAUDE.md files (project root, .claude/, ~/.claude/). Count lines. Then read every rule and test against five filters:
| Filter | Flag when... |
|---|---|
| Default | Claude already does this without being told ("write clean code", "handle errors") |
| Contradiction | Conflicts with another rule in same or different file |
| Redundancy | Repeats something already covered elsewhere |
| Bandaid | Added to fix one bad output, not improve outputs generally |
| Vague | Interpreted differently every time ("be natural", "use good tone") |
If total CLAUDE.md lines > 200, check for progressive disclosure opportunities: rules that only apply to specific tasks (API conventions, deployment steps, testing guidelines) should move to reference files with one-line pointers. Only recommend splitting when the file is actually bloated -- a lean CLAUDE.md with universal context is fine as a single file.
Skills
Scan .claude/skills/*/SKILL.md. For each skill:
- Count lines (flag > 200, critical > 500)
- Run the same five filters on instructions
- Check for restated goals, hedging ("you may want to"), synonymous instructions ("be concise" + "keep it short" + "don't be verbose")
Settings
Check settings.json for:
| Setting | Flag if | Recommended |
|---|---|---|
| autocompact_percentage_override | Missing or > 80 | 75 |
| BASH_MAX_OUTPUT_LENGTH (env) | At default (30-50K) | 150000 |
File Permissions
Check settings.json for permissions.deny rules. If missing, check
whether bloat directories exist in the project:
| If this exists... | Should deny... |
|---|---|
| package.json | node_modules, dist, build, .next, coverage |
| Cargo.toml | target |
| go.mod | vendor |
| pyproject.toml / requirements.txt | pycache, .venv, *.egg-info |
Step 3: Score and Report
Score starts at 100. Deduct per issue:
| Issue | Points |
|---|---|
| CLAUDE.md > 200 lines | -10 |
| CLAUDE.md > 500 lines | -20 |
| Per 5 rules flagged by filters | -5 |
| Contradictions between files | -10 |
| Missing autocompact override | -10 |
| Missing bash output override | -5 |
| Skill > 200 lines | -5 each |
| Skill > 500 lines | -10 each |
| Per MCP server | -3 each |
| No deny rules + bloat dirs exist | -10 |
Floor at 0. Output this format:
# Usage Audit
Score: {N}/100 [{CLEAN|NEEDS WORK|BLOATED|CRITICAL}]
## Context Breakdown (from /context)
{Paste the key numbers from /context output}
## Issues Found
### [{CRITICAL|WARNING|INFO}] {Category}
{What's wrong}
Fix: {One-line actionable fix}
### Rules to Cut
{Each flagged rule: the text, which filter, one-line reason}
### Conflicts
{Contradictions between files, with paths}
## Top 3 Fixes
1. {Highest-impact fix}
2. {Second}
3. {Third}
Score labels: 90-100 CLEAN, 70-89 NEEDS WORK, 50-69 BLOATED, 0-49 CRITICAL. Severity: CRITICAL > 10pts, WARNING 5-10pts, INFO < 5pts.
Step 4: Offer to Fix
After the report:
"Want me to fix any of these? I can:
- Show you a cleaned-up CLAUDE.md with the flagged rules removed
- Add the missing settings.json configs
- Add permissions.deny rules for build artifacts
- Show which skills to compress"
Auto-apply settings.json and permissions.deny (safe, reversible). Show diffs for CLAUDE.md and skills -- let the user confirm before modifying instruction files.
When not to use it
- →When the user has not run /context in the current session
- →When a detailed context breakdown is not available
Limitations
- →Requires /context output to proceed with the audit
- →Cannot run slash commands itself
- →Cannot modify instruction files without user confirmation
How it compares
This skill automates the analysis of various configuration files and settings to identify token waste and context bloat, rather than requiring manual inspection.
Compared to similar skills
usage-audit side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| usage-audit (this skill) | 0 | 3mo | No flags | Intermediate |
| bullmq-specialist | 25 | 6mo | No flags | Intermediate |
| agent-orchestration-multi-agent-optimize | 2 | 4mo | No flags | Advanced |
| agent-load-balancer | 1 | 6mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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