What is amazonq-session-management?

A set of instructions for keeping long Amazon Q Developer chat and command-line sessions within their context limit. It covers checking, summarising, clearing, and saving conversations.

Use it while planning work in several phases, when Q forgets previous context, or when the session reports that its context limit has been reached.

Long sessions can run out of room or lose earlier decisions. It helps you choose when to summarise the discussion, clear it, or start a new session.

amazonq-session-management — Skill by navendubrajesh

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-session-management

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-session-management/github.svg)](https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-session-management)

Your own site

<a href="https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-session-management"><img src="https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-session-management/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-session-management"><img src="https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-session-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,023 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.

Model	Per session	Once invoked
Fable 5.1	$0.00087	$0.01023
Opus 5.5	$0.00035	$0.00409
Sonnet 5.5	$0.00017	$0.00205
Haiku 4.5	$0.00009	$0.00102

Measured 2mo ago against content hash 76984318b56e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazonq-session-management 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-session-management/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Q Session Management

Amazon Q Developer sessions accumulate chat history, tool outputs, and loaded rules in a bounded context window. Compaction (/compact) replaces detailed history with a summary; clear (/clear) wipes it entirely. The CLI adds auto-compaction when validation errors occur. This skill covers monitoring and hygiene for long Q sessions.

When to Activate

Activate this skill when:

Q suggests compaction or context approaches ~80% capacity (IDE nudge)
A Q CLI session fails with context window validation errors
Planning multi-phase work in one q chat session
Deciding between /compact, /clear, or starting a new tab/session
Auditing what Q preserved after compaction

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

Do not activate for .amazonq/rules/ authoring: amazonq-customization.
Do not activate for rule glob loading and token limits: amazonq-context-architecture.
Do not activate for Copilot CLI checkpoints: copilot-session-management.
Do not activate for platform-agnostic compression algorithms: context-compression.

Core Concepts

What fills the window

System instructions and tool definitions (fixed overhead)
Loaded project rules from .amazonq/rules/
User messages and Q responses
Tool call inputs and outputs (often largest contributor)
Explicitly added files via IDE context picker or CLI /context add

Manual compaction: `/compact`

Enter /compact in chat. Q generates a concise summary preserving goals, work done, key technical details, important files, and next steps. The summary replaces detailed history for model reasoning while the full transcript may remain visible until session end (IDE).

Use proactively at phase boundaries — before starting test/refactor/PR phases.

Automatic compaction nudge (IDE)

At approximately 80% of context capacity, Q displays a notification suggesting compaction. Accept when transitioning phases; defer only if mid-critical-step and few turns remain.

Read the full file on GitHub · 87 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.

2mo ago First seen · 87 lines · 87 tokens per session scan A 76984318b56e

Subscribe to this mod's changes

amazonq-session-management is a skill published in the GitHub repository navendubrajesh/context-management-for-agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,023 once invoked, about $0.0003 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.

Memory and context

amazonq-session-management next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
amazonq-session-managementnavendubrajesh/context-management-for-agents	Skill	2	1mo ago	MIT	A	87	Claude Code, Codex
knowledge-ingestopenclaw/openclaw	Skill	394k	yesterday	MIT	A	80	Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0	Skill	68k	2d ago	Apache-2.0	A	217	Claude Code, Codex
forgetasgeirtj/system_prompts_leaks	Skill	71k	2d ago	CC0-1.0	A	74	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	yesterday	MIT	A	184	Claude Code
memoryopensquilla/opensquilla	Skill	7.1k	6d ago	Apache-2.0	A	44	Claude Code, Codex
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex