agent-docs-architecture

agent-docs-architecture is a skill for Claude Code from avmnu-sng/sutra. It costs 46 tokens per session (2,952 once invoked), scanned A, original, MIT.

A guide for organising documentation that coding agents read. It defines entry documents, shared rules, routing tables, reading order, and one declared source of truth.

In plain words
What is it for?
Use it when creating or auditing files such as AGENTS.md, CLAUDE.md, and documentation trees for an agent-enabled repository.
Why use it?
It prevents instructions from becoming scattered, contradictory, or too large for agents and developers to navigate reliably.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Part of the sutra plugin — 19 skills, 4 agents, 2 hooks shipped together

Good fit Use it when creating or auditing files such as AGENTS.md, CLAUDE.md, and documentation trees for an agent-enabled repository.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/avmnu-sng/sutra/agent-docs-architecture
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 avmnu-sng/sutra --skill agent-docs-architecture
Clone the repo
git clone --depth 1 https://github.com/avmnu-sng/sutra

Made for: Claude Code.

Or install sutra, the plugin that ships this one along with the rest of its 19 skills, 4 agents, 2 hooks.

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 agent-docs-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/avmnu-sng/sutra/agent-docs-architecture/github.svg)](https://agentmods.dev/skills/avmnu-sng/sutra/agent-docs-architecture)
Your own site
<a href="https://agentmods.dev/skills/avmnu-sng/sutra/agent-docs-architecture"><img src="https://agentmods.dev/badge/skills/avmnu-sng/sutra/agent-docs-architecture/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 agent-docs-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/avmnu-sng/sutra/agent-docs-architecture"><img src="https://agentmods.dev/badge/skills/avmnu-sng/sutra/agent-docs-architecture.svg" alt="Reviewed on agentmods" width="80" 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 2,952 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.
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 $0.00046 $0.02952
Opus 5 $0.00023 $0.01476
Sonnet 5 $0.00009 $0.00590
Haiku 4.5 $0.00005 $0.00295

Measured 9d ago against content hash ad1f13fdf7f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agent-docs-architecture 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 9d 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.

plugins/sutra/skills/agent-docs-architecture/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent docs architecture

Agent-facing docs fail in one of two ways: everything is crammed into a single entry file that no one can navigate, or the guidance is scattered with no declared order, no source of truth, and no way for an agent to tell which doc answers its question. Both leave an agent guessing, and a guessing agent hallucinates.

This skill lays out the structure that prevents that. The goal is a layered tree where a thin entry doc routes to deeper guides, one rulebook is shared verbatim across tools, every doc's job is declared, and one doc is named as ground truth. The machine-readable manifest that binds these pieces together -- entry-doc path, rulebook path, source-path-to-domain routing, skill order -- lives in examples/setup.yaml. Treat that file as the contract and this skill as the rationale.

When to use

  • Setting up agent docs (AGENTS.md, CLAUDE.md, a docs/ tree) in a repo that has none, or has an overgrown single file.
  • Auditing an existing tree for the failure modes below: inlined entry doc, drifted cross-tool rules, no routing table, no declared source of truth.
  • Adding a new domain guide and wanting it to match the house shape rather than being one more ad-hoc file.

When not to use

  • The repo has no agents and no intent to add them; a plain README is enough.
  • You are writing product or API docs for end users. This skill is about docs an agent reads to do work in the repo, not docs a customer reads.

1. Layer the tree; keep the entry doc thin

The entry doc (AGENTS.md or CLAUDE.md) is a switchboard, not an encyclopedia. It states the project in two sentences, names the hard rules, and links out to deeper docs. It does not inline setup steps, domain walkthroughs, or troubleshooting -- those live in leaf docs and go stale the moment they are duplicated at the top.

Target shape:

AGENTS.md                 <- thin entry: what this is, STOP-gate, routing table
CLAUDE.md                 <- byte-identical AI footer (see section 2)
docs/
  rules.md                <- the one shared rulebook
  setup.md                <- environment, toolchain, dev loop
  domains/
    <domain>.md           <- one guide per feature area (routing in setup.yaml)
  guides/
    <topic>.md            <- safety / domain guides (authored per section 8)
  ground-truth.md         <- the source of truth (see section 6)
examples/
  setup.yaml              <- machine-readable manifest binding all of the above

Read the full file on GitHub · 296 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. 9d ago First seen · 296 lines · 46 tokens per session scan A ad1f13fdf7f5

Subscribe to this mod's changes

agent-docs-architecture is a skill published in the GitHub repository avmnu-sng/sutra (2 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 2,952 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 2026-08-31.

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