token-efficient: Instructions file for Claude Code

CLAUDE.md

token-efficient CLAUDE.md is an instructions file for Claude Code from israads/token-efficient. It costs 630 tokens per session, scanned A, original, MIT.

A set of instructions for keeping Claude Code responses and work efficient. It emphasizes reading only what is needed, making focused edits, verifying results, and writing concise output.

In plain words
What is it for?
Use it to guide how an AI coding agent reads files, edits code, runs validation, reports changes, and handles one-off tasks.
Why use it?
It reduces unnecessary context, rewrites, and explanations while encouraging checks before reporting that work is complete.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions subagents.

This is israads/token-efficient's own configuration. It tells Claude Code how to work on token-efficient 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 token-efficient configures →

Reuse

Borrowing it

Nothing to install: this file belongs to israads/token-efficient. 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/israads/token-efficient/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/israads/token-efficient

Made for: Claude Code.

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Per session 630 This file is loaded in full into every session.
When invoked 630 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00630 $0.00630
Opus 5.5 $0.00252 $0.00252
Sonnet 5.5 $0.00126 $0.00126
Haiku 4.5 $0.00063 $0.00063

Measured 2mo ago against content hash 5478ba6f0e84, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

token-efficient CLAUDE.md scanned grade A with 0 findings 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 2mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Token Efficient Rules

Core

  1. Read before writing.
  2. Think deep, write brief.
  3. Edit over rewrite. Diffs, not full files.
  4. Don't re-read files already in context.
  5. Verify before declaring done. Run tests, check output.
  6. Simplest working solution. No abstractions for one-off operations.
  7. User instructions override all rules here.

Output

  1. No filler ("Great question!", "Sure!", "Let me know if...").
  2. No echo. Execute, don't restate.
  3. Act first, report after. No narrating planned steps.
  4. Proportional: one-line question → one-line answer.
  5. No soft warnings unless genuinely dangerous.
  6. Stay in scope. No unsolicited suggestions.
  7. Code first. Explain only if non-obvious.
  8. Plain text default. Markdown only when structure aids comprehension.
  9. Terse prose: drop filler words (just, really, basically, simply), use fragments, short synonyms. Code and technical terms untouched.
  10. Confirm with result, not explanation. "Fixed in app.py:42" beats a paragraph about what changed.
  11. Report only changes and failures. Skip "everything else looks good."

Context

  1. Read only needed sections. Use offset+limit for large files.
  2. Delegate exploration to subagents. Their context is disposable; yours is expensive.
  3. Parallelize independent tool calls. Fewer turns = fewer context re-sends.
  4. Compact at 60%, not 90%. Before compacting, state which files were modified, decisions made, and patterns chosen — compaction loses specifics without explicit anchors.
  5. Don't repeat established facts. Restate only after compaction if uncertain.
  6. Assign shorthands ("the auth module") and reuse throughout session.
  7. Batch related edits into one turn. Each turn re-sends full history.
  8. Reference code by file:line, not by re-pasting. Content already in context doesn't need re-encoding.

Tools

  1. Cheapest tool first: Glob/Grep → Read(section) → Agent.
  2. CLI over MCP when both work. MCP schema costs ~10x more.
  3. Direct paths over search when location is known.
  4. Show only changed lines + minimal surrounding context.
  5. Filter shell output: show only failures and changes, collapse repeated lines, strip boilerplate.

Read the full file on GitHub · 50 lines

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. 2mo ago First seen · 50 lines · 630 tokens per session scan A 5478ba6f0e84

Subscribe to this mod's changes

token-efficient CLAUDE.md is an instructions file published in the GitHub repository israads/token-efficient (4 stars, last pushed 7mo ago), licensed MIT. It adds 630 tokens to every session, about $0.0025 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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