token-stats AGENTS.md

Repository instructions for Token Stats, also called Tokscale, a project with multiple Rust crates. They guide AI agents on documentation, GitHub pull requests and issues, Git identity, and merge discipline.

In plain words
What is it for?
Use them when editing AGENTS.md files, writing pull requests or issues with the GitHub CLI, maintaining Git history, or documenting crate-specific rules.
Why use it?
They help keep agent guidance accurate and prevent outdated documentation or incorrectly formatted contribution content.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/annihilater/token-stats/agents-md
Clone the repo
git clone --depth 1 https://github.com/Annihilater/token-stats

Made for: Codex, OpenCode.

Per session 3,374 This file is loaded in full into every session.
When invoked 3,374 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.03374 $0.03374
Opus 5 $0.01687 $0.01687
Sonnet 5 $0.00675 $0.00675
Haiku 4.5 $0.00337 $0.00337

Measured 2d ago against content hash f97651f9d0f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

token-stats 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 2d 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

95% identical to tokscale AGENTS.md — 23 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 · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Guidelines

This document provides context for AI agents working on the Tokscale project.

Maintaining AGENTS.md Files

When updating AGENTS.md files, follow these principles:

  • No hardcoded counts — Don't write "10 crates" or "5 modules"; these become outdated instantly
  • No exhaustive lists — Prefer dynamic commands (ls crates/) over maintaining complete lists
  • Document constraints, not descriptions — Focus on non-obvious behaviors, gotchas, and cross-crate dependencies
  • Use nested AGENTS.md — Place crate-specific details in crates/{name}/AGENTS.md, not here
  • Verify before documenting — Grep/read the code to confirm claims are accurate
  • Delete outdated info — Outdated docs are worse than no docs

Authoring PR/Issue Content via gh CLI

When writing PR bodies, issue bodies, or comments through gh pr create, gh issue comment, etc.: prefer --body-file with a written-out file over inline --body heredocs.

Why: inline --body "$(cat <<'EOF' ... EOF)" patterns lead to recurring mistakes where backticks are written as \` (incorrectly escaping them inside a single-quoted heredoc where no escaping is needed). The literal \` then renders in GitHub markdown as backslash + backtick instead of inline code formatting.

DO:

  • Write the body to /tmp/pr-body.md (or similar) with the Write tool, then gh pr create --body-file /tmp/pr-body.md
  • For comment edits: gh api -X PATCH repos/<owner>/<repo>/issues/comments/<id> -F body=@/tmp/comment.md

DON'T:

  • Use gh pr create --body "$(cat <<'EOF' ... \ ... ` ... EOF)" — single-quoted heredoc means backticks are already literal; escaping with `` \ `` is wrong and renders incorrectly.
  • Use double-quoted heredoc for bodies containing backticks unless you intend command substitution.
  • Hard-wrap paragraphs at ~80 columns inside PR/issue/comment bodies. GitHub's markdown collapses single newlines into spaces so the rendered output looks fine, but the raw markdown view is what reviewers and authors edit in, and mid-sentence line breaks read as if the prose was chopped. Write each paragraph as one continuous line and let the renderer wrap it. Same rule for blockquotes, list items that span multiple lines, and table cells. Hard wraps are still fine inside fenced code blocks where preserving line layout matters.

Read the full file on GitHub · 262 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. 2d ago First seen · 262 lines · 3,374 tokens per session scan A f97651f9d0f9

Subscribe to this mod's changes

token-stats AGENTS.md is an instructions file published in the GitHub repository Annihilater/token-stats (5 stars, last pushed 1mo ago), licensed MIT. It adds 3,374 tokens to every session, about $0.0169 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to tokscale AGENTS.md, differing in 23 lines, and is treated as a copy.