Prompt Compressor

---

name: prompt-compressor

description: Saves 20-40% of LLM tokens by teaching the agent to write compressed responses, compressed memory logs, and compressed pre-compaction summaries. Works via SOUL.md instructions — no hooks, no extra process, no dependencies. Also provides explicit compression when the user asks to compress a prompt. Use when the user asks about reducing token costs, optimizing API spend, compressing prompts, or making the agent more efficient.

version: 1.0.0

metadata: {"openclaw":{"emoji":"🗜️","homepage":"https://github.com/ckpxgfnksd-max/prompt-compressor-openclaw"}}

---

# Prompt Compressor

Saves tokens on turns 2+ by making all agent output compressed from the start.

How it works

This is NOT a hook (hooks require newer OpenClaw versions). Instead, it works by adding instructions to SOUL.md that make the agent:

1. **Write compressed responses** — no filler, no hedging, lead with answers

2. **Write compressed MEMORY.md** — one fact per line, no narrative

3. **Write compressed daily logs** — decisions only, not discussions

4. **Compress pre-compaction flushes** — facts not paragraphs

The savings compound: compressed responses → compressed history → compressed compaction summaries → fewer tokens on every subsequent turn.

Install

Append the contents of `soul-snippet.md` to the user's SOUL.md:

cat {baseDir}/soul-snippet.md >> ~/.openclaw/SOUL.md

Or if using a workspace SOUL.md:

cat {baseDir}/soul-snippet.md >> <workspace>/SOUL.md

Then start a new session (`/new`) so the updated SOUL.md loads.

When user asks to compress a specific prompt

Apply these rules manually to their text:

Remove

Shorten

Normalize

Never touch

Rules