context-budget

安装量: 3.3K
排名: #1817

安装

npx skills add https://github.com/affaan-m/everything-claude-code --skill context-budget
Context Budget
Analyze token overhead across every loaded component in a Claude Code session and surface actionable optimizations to reclaim context space.
When to Use
Session performance feels sluggish or output quality is degrading
You've recently added many skills, agents, or MCP servers
You want to know how much context headroom you actually have
Planning to add more components and need to know if there's room
Running
/context-budget
command (this skill backs it)
How It Works
Phase 1: Inventory
Scan all component directories and estimate token consumption:
Agents
(
agents/*.md
)
Count lines and tokens per file (words × 1.3)
Extract
description
frontmatter length
Flag: files >200 lines (heavy), description >30 words (bloated frontmatter)
Skills
(
skills/*/SKILL.md
)
Count tokens per SKILL.md
Flag: files >400 lines
Check for duplicate copies in
.agents/skills/
— skip identical copies to avoid double-counting
Rules
(
rules/*/.md
)
Count tokens per file
Flag: files >100 lines
Detect content overlap between rule files in the same language module
MCP Servers
(
.mcp.json
or active MCP config)
Count configured servers and total tool count
Estimate schema overhead at ~500 tokens per tool
Flag: servers with >20 tools, servers that wrap simple CLI commands (
gh
,
git
,
npm
,
supabase
,
vercel
)
CLAUDE.md
(project + user-level)
Count tokens per file in the CLAUDE.md chain
Flag: combined total >300 lines
Phase 2: Classify
Sort every component into a bucket:
Bucket
Criteria
Action
Always needed
Referenced in CLAUDE.md, backs an active command, or matches current project type
Keep
Sometimes needed
Domain-specific (e.g. language patterns), not referenced in CLAUDE.md
Consider on-demand activation
Rarely needed
No command reference, overlapping content, or no obvious project match
Remove or lazy-load
Phase 3: Detect Issues
Identify the following problem patterns:
Bloated agent descriptions
— description >30 words in frontmatter loads into every Task tool invocation
Heavy agents
— files >200 lines inflate Task tool context on every spawn
Redundant components
— skills that duplicate agent logic, rules that duplicate CLAUDE.md
MCP over-subscription
— >10 servers, or servers wrapping CLI tools available for free
CLAUDE.md bloat
— verbose explanations, outdated sections, instructions that should be rules
Phase 4: Report
Produce the context budget report:
Context Budget Report
═══════════════════════════════════════
Total estimated overhead: ~XX,XXX tokens
Context model: Claude Sonnet (200K window)
Effective available context: ~XXX,XXX tokens (XX%)
Component Breakdown:
┌─────────────────┬────────┬───────────┐
│ Component │ Count │ Tokens │
├─────────────────┼────────┼───────────┤
│ Agents │ N │ ~X,XXX │
│ Skills │ N │ ~X,XXX │
│ Rules │ N │ ~X,XXX │
│ MCP tools │ N │ ~XX,XXX │
│ CLAUDE.md │ N │ ~X,XXX │
└─────────────────┴────────┴───────────┘
WARNING: Issues Found (N):
[ranked by token savings]
Top 3 Optimizations:
1. [action] → save ~X,XXX tokens
2. [action] → save ~X,XXX tokens
3. [action] → save ~X,XXX tokens
Potential savings: ~XX,XXX tokens (XX% of current overhead)
In verbose mode, additionally output per-file token counts, line-by-line breakdown of the heaviest files, specific redundant lines between overlapping components, and MCP tool list with per-tool schema size estimates.
Examples
Basic audit
User: /context-budget
Skill: Scans setup → 16 agents (12,400 tokens), 28 skills (6,200), 87 MCP tools (43,500), 2 CLAUDE.md (1,200)
Flags: 3 heavy agents, 14 MCP servers (3 CLI-replaceable)
Top saving: remove 3 MCP servers → -27,500 tokens (47% overhead reduction)
Verbose mode
User: /context-budget --verbose
Skill: Full report + per-file breakdown showing planner.md (213 lines, 1,840 tokens),
MCP tool list with per-tool sizes, duplicated rule lines side by side
Pre-expansion check
User: I want to add 5 more MCP servers, do I have room?
Skill: Current overhead 33% → adding 5 servers (~50 tools) would add ~25,000 tokens → pushes to 45% overhead
Recommendation: remove 2 CLI-replaceable servers first to stay under 40%
Best Practices
Token estimation
use
words × 1.3
for prose,
chars / 4
for code-heavy files
MCP is the biggest lever
each tool schema costs ~500 tokens; a 30-tool server costs more than all your skills combined
Agent descriptions are loaded always
even if the agent is never invoked, its description field is present in every Task tool context
Verbose mode for debugging
use when you need to pinpoint the exact files driving overhead, not for regular audits
Audit after changes
run after adding any agent, skill, or MCP server to catch creep early
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