documentation-and-adrs

documentation-and-adrs is a skill for Claude Code, Codex from vignesh2027/AI-AGENT-SKILLS. It costs 15 tokens per session (710 once invoked), scanned A, original, MIT.

A writing process for keeping technical documentation accurate and recording important architectural decisions. An architectural decision record, or ADR, explains why a design was chosen and what trade-offs it has.

In plain words
What is it for?
Use it when shipping features or APIs, changing public interfaces, documenting non-obvious behavior, or recording major design choices.
Why use it?
It prevents documentation from misleading future developers and preserves the reasoning behind decisions that may be difficult to reverse.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when shipping features or APIs, changing public interfaces, documenting non-obvious behavior, or recording major design choices.

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Install with agentmods
npx agentmods add skills/vignesh2027/ai-agent-skills/documentation-and-adrs
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 vignesh2027/AI-AGENT-SKILLS --skill documentation-and-adrs
Clone the repo
git clone --depth 1 https://github.com/vignesh2027/AI-AGENT-SKILLS

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 documentation-and-adrs

README.md
[![agentmods](https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/documentation-and-adrs/github.svg)](https://agentmods.dev/skills/vignesh2027/ai-agent-skills/documentation-and-adrs)
Your own site
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/documentation-and-adrs/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 documentation-and-adrs

Your own site · 80×15
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/documentation-and-adrs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 710 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 $0.00015 $0.00710
Opus 5 $0.00008 $0.00355
Sonnet 5 $0.00003 $0.00142
Haiku 4.5 $0.00002 $0.00071

Measured 11d ago against content hash f749d7855022, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

documentation-and-adrs 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.

skills/documentation-and-adrs/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Documentation that is wrong is worse than no documentation — it confidently misleads. This skill writes documentation that is minimal, accurate, and maintained. It also captures architectural decisions (ADRs) so future engineers understand why the system is the way it is.

When to Use

  • Before shipping a new feature or API
  • When changing a public interface
  • When making an architectural decision that is hard to reverse
  • When documenting a non-obvious system behavior

Process

Step 1: Audience-first

Before writing: who is the reader? What do they already know? What do they need to do after reading this? Write for that person, not for yourself.

Step 2: Document the why, not just the what

The code describes what. The documentation must describe: why this design, what was rejected, what trade-offs were made. This is what prevents future engineers from "improving" something that can't be improved.

Step 3: README structure

Good README:

  1. What is this? (one sentence)
  2. Why does it exist? (one paragraph)
  3. Quick start (the first 5 minutes)
  4. Core concepts (only what's non-obvious)
  5. Reference (exhaustive, machine-readable if possible)
  6. Contributing (link to CONTRIBUTING.md)

Step 4: API documentation

For every public API endpoint or function:

  • Purpose (one sentence)
  • Parameters: name, type, constraints, required/optional
  • Return value: type, shape, possible values
  • Error cases: what errors can occur and when
  • Example: one complete working example

Step 5: Architecture Decision Records (ADRs)

Write an ADR for every decision that is:

  • Hard to reverse
  • Non-obvious in its rationale
  • Likely to be questioned by a future engineer

ADR format:

# ADR-NNN: [Short Title]

## Status
[Proposed | Accepted | Deprecated | Superseded by ADR-NNN]

## Context
[What situation led to this decision?]

## Decision
[What was decided?]

## Alternatives Considered
[What else was evaluated and why was it rejected?]

## Consequences
[What becomes easier or harder as a result?]

Read the full file on GitHub · 91 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. 11d ago First seen · 91 lines · 15 tokens per session scan A f749d7855022

Subscribe to this mod's changes

documentation-and-adrs is a skill published in the GitHub repository vignesh2027/AI-AGENT-SKILLS (2 stars, last pushed 13d ago), licensed MIT. It adds 15 tokens to every session and 710 once invoked, about $0.0001 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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