codd-propagate

codd-propagate is a skill for Claude Code, Codex from yohey-w/codd-dev. It costs 53 tokens per session (1,269 once invoked), scanned A, original, MIT.

A workflow that traces changed source files back to CoDD design documents. CoDD is a system that connects source-code modules with documents describing their design.

In plain words
What is it for?
Use it after modifying source code to find affected design documents, review the impact, or update those documents.
Why use it?
Design documents can become inaccurate after code changes. This identifies which documents are affected and can update them while preserving the links between code and design.

Skill for Claude CodeCodex

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 skills/yohey-w/codd-dev/codd-propagate
Any agent
npx skills add yohey-w/codd-dev --skill codd-propagate
Clone the repo
git clone --depth 1 https://github.com/yohey-w/codd-dev

Made for: Claude Code, Codex.

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 codd-propagate

README.md
[![agentmods](https://agentmods.dev/badge/skills/yohey-w/codd-dev/codd-propagate.svg)](https://agentmods.dev/skills/yohey-w/codd-dev/codd-propagate)
Your own site
<a href="https://agentmods.dev/skills/yohey-w/codd-dev/codd-propagate"><img src="https://agentmods.dev/badge/skills/yohey-w/codd-dev/codd-propagate.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,269 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00053 $0.01269
Opus 5 $0.00026 $0.00634
Sonnet 5 $0.00011 $0.00254
Haiku 4.5 $0.00005 $0.00127

Measured 3d ago against content hash ed4514d00a32, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codd-propagate 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 3d 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.

skills/codd-propagate/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CoDD Propagate

Reverse-propagate source code changes to design documents. When source code changes, codd propagate identifies which design docs are affected via the modules field and optionally updates them using AI.

When to Use

  • After modifying source code and before committing
  • When you want to check which design docs are affected by code changes
  • When you want to auto-update design docs to reflect code changes
  • As part of the modification flow (code changed → propagate → review → commit)

Do NOT use this for:

  • Document-to-document propagation — use /codd-impact instead
  • Initial design doc generation — use /codd-generate (greenfield) or /codd-restore (brownfield)

Propagation Direction

CoDD supports two propagation directions:

Direction Command Trigger Mechanism
Forward (doc → doc) codd impact Design doc changed CEG dependency graph (depends_on)
Reverse (code → doc) codd propagate Source code changed modules field in frontmatter

/codd-propagate handles the reverse direction only.

How It Works

git diff HEAD              # 1. Detect changed source files
  ↓
source_dirs mapping        # 2. Map files to modules (e.g. src/auth/service.py → "auth")
  ↓
modules field lookup       # 3. Find design docs with matching modules
  ↓
Analysis report            # 4. Show which docs need attention
  ↓ (--update only)
AI update                  # 5. AI updates affected doc bodies

Prerequisite Checks

Before running propagate, verify:

  1. codd/codd.yaml exists with source_dirs configured in scan.
  2. Design docs have modules field in their frontmatter.
  3. There are uncommitted source code changes (or specify --diff target).
  4. Confirm you are in the intended project root.

If modules fields are missing, run codd plan --init to regenerate wave_config with modules, then regenerate or restore design docs.

Analysis Only (Default)

Read the full file on GitHub · 158 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. 3d ago First seen · 158 lines · 53 tokens per session scan A ed4514d00a32

Subscribe to this mod's changes

codd-propagate is a skill published in the GitHub repository yohey-w/codd-dev (114 stars, last pushed 23d ago), licensed MIT. It adds 53 tokens to every session and 1,269 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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