annotate-inline

annotate-inline is a skill for Claude Code, Codex from juicesharp/rpiv-pi. It costs 46 tokens per session (4,948 once invoked), scanned A, original, MIT.

A workflow for creating `CLAUDE.md` guidance files across a project by studying its architecture and coding patterns. It proposes suitable locations and writes compact instructions for the root and relevant directories.

In plain words
What is it for?
Use it to map a brownfield project, document directory-level conventions, and improve the context available during future development tasks.
Why use it?
It preserves project-specific knowledge in files that are easy to find while coding. This helps agents and new developers make changes that fit the existing codebase.

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/juicesharp/rpiv-pi/annotate-inline
Any agent
npx skills add juicesharp/rpiv-pi --skill annotate-inline
Clone the repo
git clone --depth 1 https://github.com/juicesharp/rpiv-pi

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 annotate-inline

README.md
[![agentmods](https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/annotate-inline.svg)](https://agentmods.dev/skills/juicesharp/rpiv-pi/annotate-inline)
Your own site
<a href="https://agentmods.dev/skills/juicesharp/rpiv-pi/annotate-inline"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/annotate-inline.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,948 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 $0.00046 $0.04948
Opus 5 $0.00023 $0.02474
Sonnet 5 $0.00009 $0.00990
Haiku 4.5 $0.00005 $0.00495

Measured 5d ago against content hash 1b82fc53fbe8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

annotate-inline 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 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.

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/annotate-inline/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Annotate Project

You are tasked with generating CLAUDE.md files across a brownfield project. You will map the project structure, auto-detect its architecture, analyze each architectural layer, and batch-write compact CLAUDE.md files at the root and relevant subdirectories.

Initial Setup:

Use the current working directory as the target project by default. If the user provides a specific directory path as an argument, use that instead.

Steps to follow:

  1. Read any directly mentioned files first:

    • If the user mentions specific files (existing CLAUDE.md, architecture docs, READMEs), read them FULLY first
    • IMPORTANT: Use the Read tool WITHOUT limit/offset parameters to read entire files
    • CRITICAL: Read these files yourself in the main context before invoking any skills
    • This ensures you have full context before decomposing the work
  2. Pass 1 — Map the project (parallel agents):

    • Spawn the following agents in parallel using the Agent tool:

    Agent A — Project tree mapping:

    • subagent_type: codebase-locator
    • Prompt: "Map the full project tree structure for [target directory]. List all directories and their contents, respecting .gitignore. Focus on source code directories, configuration files, and build artifacts. Return a complete tree view."

    Agent B — Architecture and conventions:

    • subagent_type: codebase-locator
    • Prompt: "Identify the architectural layers, folder roles, and framework conventions in [target directory]. Determine: What architecture pattern is used (clean architecture, MVC, monorepo, microservices, hexagonal, etc.)? What are the main layers/modules? What frameworks and languages are present? What build system is used? For each main layer/module, check if it contains internal sub-layers with distinct architectural roles. If it does, explicitly flag each sub-layer as a CLAUDE.md target candidate with: (a) path, (b) role/responsibility, (c) approximate file count, (d) how its patterns differ from siblings. Frontend frameworks (Angular, React, Vue, etc.) almost always have distinct sub-layers — components, services, shared/base classes, state management — report each separately."

Read the full file on GitHub · 300 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 300 lines · 46 tokens per session scan A 1b82fc53fbe8

Subscribe to this mod's changes

annotate-inline is a skill published in the GitHub repository juicesharp/rpiv-pi (11 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 4,948 once invoked, about $0.0002 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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