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.
npx skills add juicesharp/rpiv-mono --skill annotate-guidancegit clone --depth 1 https://github.com/juicesharp/rpiv-monoWrote 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.
[](https://agentmods.dev/skills/juicesharp/rpiv-mono/annotate-guidance)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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:
-
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
-
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."
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.
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.
- 11d ago First seen · 312 lines · 101 tokens per session scan A 3fc51a909500
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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