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SKILL verified MIT Self-run

Mode

skill-huzaifa525-claude-code-optimizer-mode · by huzaifa525

Use when the user wants to change optimization aggressiveness, switch between aggressive/balanced/thorough modes, or adjust token-saving behavior.

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Install

$ agentstack add skill-huzaifa525-claude-code-optimizer-mode

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Switch optimization mode to: $ARGUMENTS

Available Modes

Aggressive Mode

Goal: Maximum token savings. Use for routine tasks, simple edits, well-understood codebases.

Rules:

  • MAX_THINKING_TOKENS=4000 — minimal thinking for simple operations
  • Fork ALL exploration — never explore in main context
  • Read ONLY the specific lines needed (always use offset/limit)
  • Skip reading files you can infer from context
  • Use Haiku for all subagent tasks
  • Compact after every 5 tool calls
  • Never read more than 50 lines from any file at once
  • Prefer Grep → targeted Read over full file reads
  • One-sentence responses unless the user asks for detail

Balanced Mode (Default)

Goal: Good savings with reasonable context. Use for general development work.

Rules:

  • MAX_THINKING_TOKENS=10000 — standard thinking budget
  • Fork exploration and review tasks
  • Read full files when needed, but use offset/limit for large files
  • Use Sonnet for most tasks, Opus for complex ones
  • Compact after reading 10+ files
  • Normal response length

Thorough Mode

Goal: Maximum context and quality. Use for complex debugging, architecture decisions, security audits.

Rules:

  • MAX_THINKING_TOKENS=32000 — deep thinking for complex problems
  • Read related files fully to understand context
  • Use Opus for implementation, Sonnet for simple subagents
  • Don't compact aggressively — keep context for cross-referencing
  • Explore broadly before narrowing down
  • Detailed explanations and reasoning in responses
  • Run extra verification passes

How to Apply

When the user invokes /mode [name]:

  1. Acknowledge the mode switch
  2. State the key behavior changes
  3. Apply the rules for the rest of this session

Example response:

Switched to **aggressive** mode.
- Minimal thinking, maximum token savings
- All exploration forked to subagents
- Targeted file reads only
- Compact responses

If no argument given, show current mode and the three options.

Mode Comparison

| Aspect | Aggressive | Balanced | Thorough | |--------|-----------|----------|----------| | Thinking budget | 4K | 10K | 32K | | Exploration | Always forked | Fork when large | Direct when useful | | File reading | Targeted lines | Full when needed | Full + related | | Model selection | Haiku subagents | Sonnet default | Opus default | | Response style | Terse | Normal | Detailed | | Best for | Routine edits | General dev | Complex problems |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.