chi-bench CLAUDE.md

chi-bench CLAUDE.md is an instructions file for coding agents from actava-ai/chi-bench. It costs 4,421 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for actava-ai/chi-bench, stored in a file named CLAUDE.md. They explain the project, its commands and installation, and a process for recording useful lessons from coding sessions.

In plain words
What is it for?
Use them when working on chi-bench to learn how to install and run the project, follow its working conventions, and add notes after corrections, repeated errors, or non-obvious discoveries.
Why use it?
They give future coding sessions the project context and conventions they need, reducing repeated investigation and repeated mistakes. The self-improvement process keeps the instructions updated when work reveals a missing rule.

Instructions file

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/actava-ai/chi-bench/claude-md
Clone the repo
git clone --depth 1 https://github.com/actava-ai/chi-bench

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 chi-bench CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/actava-ai/chi-bench/claude-md.svg)](https://agentmods.dev/instructions/actava-ai/chi-bench/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/actava-ai/chi-bench/claude-md"><img src="https://agentmods.dev/badge/instructions/actava-ai/chi-bench/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4,421 This file is loaded in full into every session.
When invoked 4,421 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
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 $0.04421 $0.04421
Opus 5 $0.02210 $0.02210
Sonnet 5 $0.00884 $0.00884
Haiku 4.5 $0.00442 $0.00442

Measured 5d ago against content hash a51181512fa0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chi-bench CLAUDE.md scanned grade A 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 5d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Anthropic Console setting, not a harness/config bug. Reproduce with a bare curl before
CLAUDE.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Self-improvement protocol

This file is a living document. Whenever a session in this repo would have gone smoother with a note here, edit CLAUDE.md before ending the turn — don't wait to be asked. Future sessions inherit this file but inherit nothing else from this one.

Triggers — add or update an entry when you notice any of these:

  • The user corrects an approach ("no", "not that", "stop doing X", "again, like I said before"). → capture the rule and why (the reason the user gave, often a past incident).
  • The user says "again" or you re-discover something already explained earlier in the session or in a prior session. Rediscovery = missing note.
  • You hit the same error, friction point, or wrong-first-guess that has come up before (within this session or across sessions). One repeat is enough; don't wait for three.
  • A command, path, env var, or convention was non-obvious and required grep / multiple file reads to locate.
  • The user validates a non-obvious choice ("yes exactly", "that was the right call", accepting an unusual approach without pushback). Capture confirmations too — without them, future-you drifts away from validated approaches and re-litigates them.
  • A command in the Commands section turned out to be wrong, stale, or missing a flag.

How to update:

  • Add the note to the most relevant existing section (Commands, Things to remember, Architecture, Subdirectory note) rather than spawning new sections.
  • Format: one-line rule first, then Why: clause when the reasoning is non-obvious, then optionally How to apply: when the trigger condition isn't obvious from the rule.
  • If an existing item is wrong or stale, fix or delete it — don't accumulate cruft. CLAUDE.md is read in full at the start of every session; entries past line ~200 lose weight.
  • Keep entries actionable and specific. "Be careful with X" is useless; "Run foo before bar, otherwise SQLite is left in state Y" is useful.
  • Mention CLAUDE.md updates in your end-of-turn summary so the user can review the diff.

Read the full file on GitHub · 273 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. 5d ago First seen · 273 lines · 4,421 tokens per session scan A a51181512fa0

Subscribe to this mod's changes

chi-bench CLAUDE.md is an instructions file published in the GitHub repository actava-ai/chi-bench (59 stars, last pushed 3d ago), licensed Apache-2.0. It adds 4,421 tokens to every session, about $0.0221 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.