strategic-compact

strategic-compact is a skill for Claude Code from deepelementlab/jupyter-studio. It costs 27 tokens per session (872 once invoked), scanned B, a copy of strategic-compact, Apache-2.0.

A guide that suggests manually shortening the agent's conversation context at sensible points during long tasks. Context compaction removes older detail so the agent can continue with the important information.

In plain words
What is it for?
Use it during long, multi-stage work, after completing a milestone, before switching tasks, or when the conversation is becoming too large.
Why use it?
It reduces the risk of automatic shortening happening in the middle of a task and losing useful planning or research details.

Skill for Claude Code

Written for Claude Code: PreToolUse hook event. Also seen: reads .claude/ paths; mentions CLAUDE.md; names the TodoWrite tool.

Good fit Use it during long, multi-stage work, after completing a milestone, before switching tasks, or when the conversation is becoming too large.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/deepelementlab/jupyter-studio/strategic-compact
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add deepelementlab/jupyter-studio --skill strategic-compact
Clone the repo
git clone --depth 1 https://github.com/deepelementlab/jupyter-studio

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for strategic-compact

README.md
[![agentmods](https://agentmods.dev/badge/skills/deepelementlab/jupyter-studio/strategic-compact/github.svg)](https://agentmods.dev/skills/deepelementlab/jupyter-studio/strategic-compact)
Your own site
<a href="https://agentmods.dev/skills/deepelementlab/jupyter-studio/strategic-compact"><img src="https://agentmods.dev/badge/skills/deepelementlab/jupyter-studio/strategic-compact/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for strategic-compact

Your own site · 80×15
<a href="https://agentmods.dev/skills/deepelementlab/jupyter-studio/strategic-compact"><img src="https://agentmods.dev/badge/skills/deepelementlab/jupyter-studio/strategic-compact.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 872 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00872
Opus 5 $0.00014 $0.00436
Sonnet 5 $0.00005 $0.00174
Haiku 4.5 $0.00003 $0.00087

Measured 10d ago against content hash bab8749c0446, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

strategic-compact scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (suggest-compact.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

Add to your `~/.claude/settings.json`:
Origin

This is a copy

95% identical to strategic-compact — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

clawcode/clawcode/plugin/builtin_plugins/clawcode-skills/skills/strategic-compact/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategic Compact Skill

Suggests manual /compact at strategic points in your workflow rather than relying on arbitrary auto-compaction.

When to Activate

  • Running long sessions that approach context limits (200K+ tokens)
  • Working on multi-phase tasks (research → plan → implement → test)
  • Switching between unrelated tasks within the same session
  • After completing a major milestone and starting new work
  • When responses slow down or become less coherent (context pressure)

Why Strategic Compaction?

Auto-compaction triggers at arbitrary points:

  • Often mid-task, losing important context
  • No awareness of logical task boundaries
  • Can interrupt complex multi-step operations

Strategic compaction at logical boundaries:

  • After exploration, before execution — Compact research context, keep implementation plan
  • After completing a milestone — Fresh start for next phase
  • Before major context shifts — Clear exploration context before different task

How It Works

The suggest-compact.js script runs on PreToolUse (Edit/Write) and:

  1. Tracks tool calls — Counts tool invocations in session
  2. Threshold detection — Suggests at configurable threshold (default: 50 calls)
  3. Periodic reminders — Reminds every 25 calls after threshold

Hook Setup

Add to your ~/.claude/settings.json:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Edit",
        "hooks": [{ "type": "command", "command": "node ~/.claude/skills/strategic-compact/suggest-compact.js" }]
      },
      {
        "matcher": "Write",
        "hooks": [{ "type": "command", "command": "node ~/.claude/skills/strategic-compact/suggest-compact.js" }]
      }
    ]
  }
}

Configuration

Environment variables:

  • COMPACT_THRESHOLD — Tool calls before first suggestion (default: 50)

Compaction Decision Guide

Use this table to decide when to compact:

Phase Transition Compact? Why
Research → Planning Yes Research context is bulky; plan is the distilled output
Planning → Implementation Yes Plan is in TodoWrite or a file; free up context for code
Implementation → Testing Maybe Keep if tests reference recent code; compact if switching focus
Debugging → Next feature Yes Debug traces pollute context for unrelated work
Mid-implementation No Losing variable names, file paths, and partial state is costly
After a failed approach Yes Clear the dead-end reasoning before trying a new approach

Read the full file on GitHub · 103 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 103 lines · 27 tokens per session scan B bab8749c0446

Subscribe to this mod's changes

strategic-compact is a skill published in the GitHub repository deepelementlab/jupyter-studio (53 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 872 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 95% identical to strategic-compact, differing in 1 line, and is treated as a copy.