annotate-guidance

annotate-guidance is a skill for Claude Code from juicesharp/rpiv-mono. It costs 101 tokens per session (5,327 once invoked), scanned A, original, MIT.

A documentation assistant that creates architecture.md files describing how a brownfield project is organized. A brownfield project is an existing codebase being extended or maintained.

In plain words
What is it for?
Use it to map a project, identify its architectural layers, and write matching guidance files under .rpiv/guidance/ for selected directories.
Why use it?
It gives AI assistants written guidance about the project’s structure and patterns without changing the source tree itself.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents.

Good fit Use it to map a project, identify its architectural layers, and write matching guidance files under .rpiv/guidance/ for selected directories.

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Install with agentmods
npx agentmods add skills/juicesharp/rpiv-mono/annotate-guidance
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.

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

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.

agentmods badge for annotate-guidance

README.md
[![agentmods](https://agentmods.dev/badge/skills/juicesharp/rpiv-mono/annotate-guidance/github.svg)](https://agentmods.dev/skills/juicesharp/rpiv-mono/annotate-guidance)
Your own site
<a href="https://agentmods.dev/skills/juicesharp/rpiv-mono/annotate-guidance"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-mono/annotate-guidance/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for annotate-guidance

Your own site · 80×15
<a href="https://agentmods.dev/skills/juicesharp/rpiv-mono/annotate-guidance"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-mono/annotate-guidance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,327 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00101 $0.05327
Opus 5 $0.00051 $0.02663
Sonnet 5 $0.00020 $0.01065
Haiku 4.5 $0.00010 $0.00533

Measured 11d ago against content hash 3fc51a909500, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

annotate-guidance 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 11d 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.

packages/rpiv-pi/skills/annotate-guidance/SKILL.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Annotate Guidance

You are tasked with generating architecture guidance files for a brownfield project. You will map the project structure, auto-detect its architecture, analyze each architectural layer, and batch-write compact architecture.md files under .rpiv/guidance/ mirroring the project's directory structure.

Input

$ARGUMENTS — optional target directory. Defaults to the current working directory.

Steps to follow:

  1. Read any directly mentioned files first:

    • If the user mentions specific files (existing architecture.md, 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 layout of {target directory} from path shape and manifest files — NO content analysis. Detect: (1) Architecture pattern inferred from folder shape — clean-arch via Domain/Application/Infrastructure dirs; MVC via Controllers/Models/Views; monorepo via packages/* + workspaces; microservices via services/* with individual manifests; hexagonal via ports/adapters. (2) Main layers/modules — top-level source directories + their names. (3) Frameworks and languages from manifest files (package.json dependencies, *.csproj TargetFramework, pyproject.toml, go.mod, Cargo.toml) and file extensions. (4) Build system from build-config filenames (vite/webpack/tsup/esbuild configs, Makefile, nx.json, turbo.json, dotnet .sln). For each main layer/module, check sub-directory composition. If sub-directories with distinct names/roles exist, flag each as a guidance target candidate with: (a) path, (b) role inferred from folder name (controllers/, services/, entities/, components/, stores/, etc.), (c) file count via ls, (d) how its sub-directory composition differs from sibling layers. Use grep/find/ls only. Do not read file contents. Pass 2 runs codebase-analyzer + codebase-pattern-finder per target folder for deep analysis."

Read the full file on GitHub · 312 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. 11d ago First seen · 312 lines · 101 tokens per session scan A 3fc51a909500

Subscribe to this mod's changes

annotate-guidance is a skill published in the GitHub repository juicesharp/rpiv-mono (779 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 5,327 once invoked, about $0.0005 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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