token-efficient: Instructions file for Codex

AGENTS.md

token-efficient AGENTS.md is an instructions file for Codex, OpenCode from israads/token-efficient. It costs 600 tokens per session, scanned A, a copy of token-efficient copilot-instructions.md, MIT.

A set of instructions for an AI coding assistant that favors brief output, small edits, focused context, and verified results.

In plain words
What is it for?
Use it to guide coding work, response length, file-reading choices, edits, testing, and concise status reports.
Why use it?
It removes filler and repeated file content while reminding the assistant to test changes before reporting completion.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents.

This is israads/token-efficient's own configuration. It tells Codex and OpenCode 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/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/israads/token-efficient

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 600 This file is loaded in full into every session.
When invoked 600 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 94% 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 $0.00600 $0.00600
Opus 5.5 $0.00240 $0.00240
Sonnet 5.5 $0.00120 $0.00120
Haiku 4.5 $0.00060 $0.00060

Measured 2mo ago against content hash f9e05007ae74, 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 AGENTS.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.

Origin

This is a copy

94% identical to token-efficient copilot-instructions.md — 8 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.

AGENTS.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 operation first: search → read section → read full file → agent exploration.
  2. Prefer CLI commands over plugin/extension APIs when both work. Schemas add overhead.
  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 · 600 tokens per session scan A f9e05007ae74

Subscribe to this mod's changes

token-efficient AGENTS.md is an instructions file published in the GitHub repository israads/token-efficient (4 stars, last pushed 7mo ago), licensed MIT. It adds 600 tokens to every session, about $0.0024 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to token-efficient copilot-instructions.md, differing in 8 lines, and is treated as a copy.

Related

token-efficient AGENTS.md compared with instructions from other repositories

token-efficient AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
token-efficient AGENTS.mdisraads/token-efficientInstructions file47mo agoMITA600Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode