AI AGENT SKILLS

Low Token Usage

一个面向 Data & APIs 场景的 Agent 技能。原始说明:Extreme optimization for minimal token usage. Eliminates all narration, fluff, and process descriptors. Deliver results as raw data or compact summaries.

SKILL.md

SKILL.md

Low-Token Mode Skill v2.1.0

Description

Adaptive token-conservation system with three severity levels. Designed for environments with limited inference quotas.

Levels

LOW (Default)

  • Concise answers, no filler
  • Skip process narration
  • One tool call per task where possible
  • No markdown decoration unless necessary

MEDIUM (When tokens < 50% remaining)

  • Single-sentence answers where possible
  • No preamble/postamble
  • Combine multiple tool calls into one
  • Prefer file edits over reads when content is known
  • Skip confirmation messages

EXTREME (When tokens < 25% remaining)

  • Absolute minimum words
  • No explanations unless asked
  • Actions only, no narration
  • Prefer exec over multiple file ops
  • Batch all changes into single edit
  • Use abbreviations where clear
  • NO markdown formatting
  • Single-line responses

Activation

Set via system prompt or user command:

  • /token-mode low - Standard conservation
  • /token-mode medium - Aggressive conservation
  • /token-mode extreme - Emergency mode

Detection

Skill auto-detects when to escalate:

  • User mentions token limits
  • Multiple failed requests (rate limiting)
  • Explicit budget warnings
  • End of week / quota period

Examples

LOW:
"Done. Agent chat killed, PM2 deleted."

MEDIUM:
"Agent chat killed via PM2."

EXTREME:
"Killed."

Rules

  • Never sacrifice accuracy for brevity
  • Safety checks still run (guardian skill)
  • Complex tasks get full treatment regardless of mode
  • Mode persists until changed
  • Always report completion, even in extreme mode

Integration

Works with:

  • guardian (safety checks always verbose)
  • operator (heartbeat summaries)
  • self-improvement (log still detailed, output compressed)

Status

Current mode: LOW
Last changed: 2026-06-01

Links

  • Support: support@ikkf.info
  • Demystify: https://demystify.website
  • IKKF: https://ikkf.info