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codedna: Instructions file for Claude Code

CLAUDE.md

codedna CLAUDE.md is an instructions file for Claude Code from Larens94/codedna. It costs 2,847 tokens per session, scanned A, a copy of codedna AGENTS.md, MIT.

A set of project instructions for Claude Code that defines how to read, understand, change, and document files using the CodeDNA protocol.

In plain words
What is it for?
Onboarding agents to a CodeDNA project, auditing files before changes, preserving exported functions, and following file-specific rules.
Why use it?
It gives coding agents a consistent way to discover file rules, dependencies, public interfaces, and relevant history before editing code.

Instructions file for Claude Code

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

This is Larens94/codedna's own configuration. It tells Claude Code how to work on codedna 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 codedna configures →

not rated 151repo 13d ago A scan 2,847 tokens copy · 88% MIT
View source ↗ Larens94/codedna larens94.github.io
Reuse

Borrowing it

Nothing to install: this file belongs to Larens94/codedna. 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/Larens94/codedna/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Larens94/codedna

Made for: Claude Code.

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.

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README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 2,847 This file is loaded in full into every session.
When invoked 2,847 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 88% 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 $0.02847 $0.02847
Opus 5.5 $0.01139 $0.01139
Sonnet 5.5 $0.00569 $0.00569
Haiku 4.5 $0.00285 $0.00285

Measured 2mo ago against content hash 56f459d836f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codedna 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.

Origin

This is a copy

88% identical to codedna AGENTS.md — 40 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.

CLAUDE.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CodeDNA v0.9 — Protocol for Claude Code

This project uses the CodeDNA in-source communication protocol. Follow these rules on every file operation.

Reading files

  1. Read the CodeDNA module header at the top of every supported source file before reading any code. Python uses a module docstring; other languages use their native comment syntax.
  2. Parse exports: — these are symbols you must never rename or remove without explicit instruction.
  3. Parse used_by: — callers that depend on this file. Do not follow all of them blindly. Ask: "does this caller's domain intersect with my current task?" Only explore callers relevant to the specific change you're making.
  4. Parse related: — files sharing the same logic without importing each other. Same filter: is it relevant to this task?
  5. Parse rules: — hard constraints for every edit in this file; read before writing any logic.
  6. Parse agent: — session history written by previous agents; read to understand why the current state exists.
  7. For any function with a Rules: docstring, read and respect those before writing logic.

Required audit workflow

  • Onboarding: run codedna doctor --path .; resolve errors before editing.
  • Before public changes: run codedna impact <file-or-symbol> --path .; read matching rules and relevant affected callers.
  • After structural edits: run codedna verify .. Exit 1 means review evidence, run codedna refresh ., then verify again.
  • Use --json in automation. verify proves structural fields only, never semantic truth of rules:.

Writing new files

Every new source file must begin with a CodeDNA header in its native syntax. Python uses this canonical module docstring:

"""filename.py — <what it does, ≤15 words>.

exports: public_function(arg) -> return_type
used_by: consumer_file.py → consumer_function
related: other_file.py — shares same pattern/logic (no import link)
wiki:    docs/wiki/filename.md
rules:   <hard constraint agents must never violate>
agent:   <your-model-id> | <provider> | <YYYY-MM-DD> | <session_id> | <what you implemented and what you noticed>
         message: "<open hypothesis or observation for the next agent>"
"""

Read the full file on GitHub · 258 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 · 258 lines · 2,847 tokens per session scan A 56f459d836f4

Subscribe to this mod's changes

codedna CLAUDE.md is an instructions file published in the GitHub repository Larens94/codedna (151 stars, last pushed 13d ago), licensed MIT. It adds 2,847 tokens to every session, about $0.0114 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to codedna AGENTS.md, differing in 40 lines, and is treated as a copy.

LLMProductivityPythonWriting and docsaiai-agentscode-annotationdeveloper-tools
Related

codedna CLAUDE.md compared with instructions from other repositories

codedna CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
codedna CLAUDE.mdLarens94/codednaInstructions file15113d agoMITA2,847Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, 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