ai-vision-mcp: Skill for Claude Code

.claude/skills/strategic-compact/SKILL.md

strategic-compact is a skill for Claude Code, Codex from tan-yong-sheng/ai-vision-mcp. It costs 27 tokens per session (886 once invoked), scanned B, a copy of strategic-compact, MIT.

A reminder system that suggests compacting the conversation at useful points during long coding-agent tasks.

In plain words
What is it for?
Use it during long, multi-stage sessions or after major milestones before starting a new phase.
Why use it?
It helps preserve important context when a session becomes lengthy or changes from research to implementation or testing.

Skill for Claude CodeCodex

Written for Claude Code and Codex: PreToolUse hook event, but also agents/openai.yaml present. Also seen: reads .claude/ paths; mentions CLAUDE.md; names the TodoWrite tool.

This is tan-yong-sheng/ai-vision-mcp's own configuration. It tells Claude Code and Codex how to work on ai-vision-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-vision-mcp configures →

Part of the ai-vision-mcp plugin — 29 skills, 1 plugin shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to tan-yong-sheng/ai-vision-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tan-yong-sheng/ai-vision-mcp/main/.claude/skills/strategic-compact/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tan-yong-sheng/ai-vision-mcp

Made for: Claude Code, Codex.

Or install ai-vision-mcp, the plugin that ships this one along with the rest of its 29 skills, 1 plugin.

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/tan-yong-sheng/ai-vision-mcp/strategic-compact/github.svg)](https://agentmods.dev/skills/tan-yong-sheng/ai-vision-mcp/strategic-compact)
Your own site
<a href="https://agentmods.dev/skills/tan-yong-sheng/ai-vision-mcp/strategic-compact"><img src="https://agentmods.dev/badge/skills/tan-yong-sheng/ai-vision-mcp/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/tan-yong-sheng/ai-vision-mcp/strategic-compact"><img src="https://agentmods.dev/badge/skills/tan-yong-sheng/ai-vision-mcp/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 886 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 100% 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 $0.00886
Opus 5 $0.00014 $0.00443
Sonnet 5 $0.00005 $0.00177
Haiku 4.5 $0.00003 $0.00089

Measured 13d ago against content hash 3687b590f5f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 13d ago.

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

100% identical to strategic-compact — 206 lines 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.

.claude/skills/strategic-compact/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 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 · 104 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. 13d ago First seen · 104 lines · 27 tokens per session scan B 3687b590f5f3

Subscribe to this mod's changes

strategic-compact is a skill published in the GitHub repository tan-yong-sheng/ai-vision-mcp (78 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 886 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 100% identical to strategic-compact, differing in 206 lines, and is treated as a copy.

Related

Other skills, from other repositories