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 navendubrajesh/context-management-for-agents --skill amazonq-context-architecturegit clone --depth 1 https://github.com/navendubrajesh/context-management-for-agentsWrote 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/navendubrajesh/context-management-for-agents/amazonq-context-architecture)<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.
<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>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 | $0.00089 | $0.00935 |
| Opus 5 | $0.00044 | $0.00467 |
| Sonnet 5 | $0.00018 | $0.00187 |
| Haiku 4.5 | $0.00009 | $0.00093 |
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 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 — 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 showto 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/**/*.mdREADME.mdAmazonQ.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.
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.
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 · 77 lines · 89 tokens per session scan A 77c9283faeff
amazonq-context-architecture is a skill published in the GitHub repository navendubrajesh/context-management-for-agents (2 stars, last pushed 2mo ago), licensed MIT. It adds 89 tokens to every session and 935 once invoked, about $0.0004 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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