rescue-tokens
Use when user hits rate limits, quota exceeded errors, context exceeds 40%, or exhibits token waste symptoms (long conversations, wrong model, verbose output…
Skill by valorisa
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/valorisa-rescue-tokens
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/rescue-tokens
What's inside
- Skill name
rescue-tokens- Description
- Use when user hits rate limits, quota exceeded errors, context exceeds 40%, or exhibits token waste symptoms (long conversations, wrong model, verbose output, MCP bloat, cache invalidation, expensive files, too many requests)
- License
- MIT
- Instructions
- 189 lines in SKILL.md · view on GitHub
Files (2)
- README.md
- SKILL.md
SKILL.md (first lines)
# Rescue Tokens
## Overview
**Core principle:** Token exhaustion masquerades as "rate limit" errors. Nine patterns waste tokens silently. Detect symptoms, act immediately with zero explanation overhead.
## Emergency Red Flags
**STOP and act if ONE OR MORE present (OR logic):**
- Rate limit warnings ⚠️
- Context ≥40% full ⚠️
- $20-$100/month plan after 2pm ⚠️
- Conversation >90 minutes old ⚠️
- 5+ MCP plugins loaded ⚠️
- User says "don't lose context" ⚠️
- Opus 4.7 for simple tasks ⚠️
**Each flag ALONE triggers emergency mode. These are emergencies, not optimizations.**
**Examples:**
- Context 15% + rate limit warning → EMERGENCY (1 flag)
- Context 45% + no rate limit → EMERGENCY (1 flag)
- Context 9% + no rate limit + Sonnet → NOT emergency (0 flags)
## Action Matrix (No User Confirmation)
| Symptom | Action | Rationalization to Counter |
|---------|--------|---------------------------|
| Context 40-70% | `/compact` key facts, continue | "User wants to keep context" → most context is waste |
| Context >70% | New conversation, 3-sentence handoff | "I'll lose important details" → fresh perspective > bloated history |
| Rate limit + urgent task | Sub-agent in Sonnet immediately | "Let me ask which approach" → no time, just act |
| Opus 4.7 for CRUD/refactor | Switch to Sonnet now | "Opus is higher quality" → Sonnet excels at implementation |
| PDF/image attached | Ask for text/key excerpts | "User wants me to read it all" → 10-50x token cost |
| 5+ MCPs loaded | `/mcp` disable unused | "They might be needed" → check usage, disable proactively |
| Sub-agent requested for shared context | Refuse, explain in <50 words | "User asked for it" → 5x context duplication |
| User says "I'm so close" | Fresh conversation + 3-sentence summary | "Sunk cost, they'll resist" → exactly why you must insist |
**Key principle:** Act first, explain tersely (if at all). Under rate limit pressure, explanations ARE the problem.
## The Nine Token Traps
### 1. Eternal Conversations
**Symptom:** Same conversation for hours, context bloating
**Fix:** `/clear` when prior messages irrelevant, `/compact` when needed, new conversation at 40% context
### 2. Verbose Output
**Symptom:** Long explanations, "let me know if...", markdown sections
**Fix:** Terse responses under pressure. Example: "Switched to Sonnet. Starting OAuth." (7 words, not 200)
### 3. Wrong Model Choice
**Fix:**
- Haiku: Renames, simple tasks, info retrieval
- Sonnet: All implementation, refactoring, debugging
- Opus: Architecture, deep planning only
### 4. MCP Plugin Bloat
**Symptom:** 5+ plugins loaded, user doesn't know
**Fix:** `/context` to audit, `/mcp` to disable unused
### 5. Obese CLAUDE.md
**Symptom:** 200+ lines in Claude.md
**Fix:** Keep <200 lines, use `@see` references for detail
### 6. Cache Invalidation
**Symptom:** Model changes mid-conversation, MCP added after start
**Fix:** Set model/MCPs at conversation START, never mid-stream
### 7. Expensive Files
**Symptom:** PDFs, images, Excel files
**Fix:** Request text conversion, extract specific pages (e.g., `Read pages: "1-3"`), ask for screenshot text instead of image
### 8. Sub-Agent Misuse
**Use sub-agents for:** Isolated research, disposable exploration, independent tasks
**NEVER for:** Shared context work (migrations, refactors with common dependencies)
**Decision flow:**
```dot
digraph subagent_decision {
"Task needs shared context?" [shape=diamond];
"Sequential in main thread" [shape=box];
"Sub-agent for isolation" [shape=box];
"Task needs shared context?" -> "Sequential in main thread" [label="yes"];
"Task needs shared context?" -> "Sub-agent for isolation" [label="no"];
}
```
### 9. Message vs Token Confusion
**Reality:** Plans count messages, but tokens are the real cost. Long Opus conversation = 50+ short Sonnet messages.
## Common Rationalizations
| Excuse | Reality |
|--------|---------|
| "Let me ask which approach they prefer" | Under rate limit, asking costs tokens. Decide and act. |
| "I'll explain why this saves tokens" | Explanations burn the tokens you're trying to save. |
| "User wants to keep this context" | 80% of long contexts is dead weight. Compact or restart. |
| "Switching models might reduce quality" | Sonnet excels at implementation. Opus for architecture only. |
| "They asked for sub-agents" | Refuse bad requests. Sub-agents with shared context = 5x waste. |
| "The situation isn't urgent" | Rate limit warnings ARE urgent. Act immediately. |
| "Let me cite the rules to justify" | Citing rules costs tokens. Apply them silently. |
| "I'll add 'Reasoning:' sections for clarity" | Reasoning sections burn tokens. State decision only. |
| "Tables help users compare options" | Tables cost 5x tokens vs sentences. Use prose. |
| "Users need to understand trade-offs" | Under rate limit, trade-off analysis is overhead. Decide and act. |
| "Confidence statements show thoroughness" | "95% confident..." wastes tokens. Just act. |From valorisa/Claude-Skills, MIT.
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Signals
- Stars
- 17
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Jun 21, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/valorisa/Claude-Skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
rescue-tokens skill. Agent Mart. https://agentmart.dev/skills/valorisa-rescue-tokens (last updated 2026-10-24)