amazonq-context-architecture

amazonq-context-architecture is a skill for Claude Code, Codex from navendubrajesh/context-management-for-agents. It costs 89 tokens per session (935 once invoked), scanned A, original, MIT.

A guide to how Amazon Q Developer chooses which project files and rules to read as context. It covers rule files, context profiles, token limits, and the difference between its IDE and command-line use.

In plain words
What is it for?
Use it to audit loaded context, fix glob-based rule matching, diagnose oversized files, and choose between IDE context and command-line profiles.
Why use it?
It helps explain why Q may miss project conventions, load too much information, or reject files that exceed its context limit.

Skill for Claude CodeCodex

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

Good fit Use it to audit loaded context, fix glob-based rule matching, diagnose oversized files, and choose between IDE context and command-line profiles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/navendubrajesh/context-management-for-agents/amazonq-context-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 navendubrajesh/context-management-for-agents --skill amazonq-context-architecture
Clone the repo
git clone --depth 1 https://github.com/navendubrajesh/context-management-for-agents

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 amazonq-context-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-context-architecture/github.svg)](https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-context-architecture)
Your own site
<a href="https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-context-architecture"><img src="https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-context-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 amazonq-context-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-context-architecture"><img src="https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-context-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 935 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 $0.00089 $0.00935
Opus 5.5 $0.00036 $0.00374
Sonnet 5.5 $0.00018 $0.00187
Haiku 4.5 $0.00009 $0.00093

Measured 2mo ago against content hash 77c9283faeff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazonq-context-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 2mo 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/amazonq-context-architecture/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Q Developer Context Architecture

Amazon Q Developer loads project rules from .amazonq/rules/ (markdown files, optionally nested), plus default globs for README.md and AmazonQ.md. The Q CLI adds context profiles, explicit /context add, and hard token limits on matched files. Chat uses the open file plus explicitly added context; rules apply automatically when matched.

When to Activate

Activate this skill when:

  • Diagnosing why Q ignores project conventions or loads too many rule tokens
  • Using /context show to audit what Q CLI includes
  • Understanding glob-based rule matching and subdirectories
  • Hitting ValidationException errors from oversized context files in CLI
  • Choosing between IDE chat context and CLI global context profiles

Do not activate this skill for adjacent work owned by other skills:

  • Do not activate for platform-agnostic attention theory: context-fundamentals.
  • Do not activate for writing .amazonq/rules/ content: amazonq-customization.
  • Do not activate for chat compaction and /compact: amazonq-session-management.
  • Do not activate for custom external RAG: memory-systems.

Core Concepts

Project rules loading

On first interaction, Q scans .amazonq/rules/ and loads applicable markdown rules into context. Rules can live in subdirectories (e.g., .amazonq/rules/frontend/react.rule.md). Filename is organizational — Q reads all .md files in the tree.

Rules apply automatically in IDE chat; developers can toggle individual rules on/off per session via the Rules button.

Default context globs (CLI)

Q CLI typically matches:

  • .amazonq/rules/**/*.md
  • README.md
  • AmazonQ.md

Use /context show to see matched files and approximate token counts per file.

Context profiles (CLI)

Profiles organize which context files apply to a session. Global vs profile-scoped files appear in /context show breakdown. Enterprise Q Developer profiles (IAM Identity Center) are subscription/settings collections — distinct from CLI context profiles but affect which features and settings apply.

Read the full file on GitHub · 77 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 77 lines · 89 tokens per session scan A 77c9283faeff

Subscribe to this mod's changes

amazonq-context-architecture is a skill published in the GitHub repository navendubrajesh/context-management-for-agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 935 once invoked, about $0.0004 per session on Opus 5.5. 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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