A command that retrieves architectural decisions relevant to a task from project memory. It searches by keywords describing the work, such as the storage layer or authentication middleware.

Use it to look up project constraints for a particular technical area and surface the decisions that should guide the work.

It shows the rules that govern a task before code is changed. Specific queries help avoid missing decisions that a vague search would not find.

context — Command for Claude Code by MnemeHQ/mneme

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.

Clone the repo

git clone --depth 1 https://github.com/MnemeHQ/mneme

Made for: Claude Code.

Or install mneme, the plugin that ships this one along with the rest of its 1 skill, 4 commands.

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/commands/mnemehq/mneme/context/github.svg)](https://agentmods.dev/commands/mnemehq/mneme/context)

Your own site

<a href="https://agentmods.dev/commands/mnemehq/mneme/context"><img src="https://agentmods.dev/badge/commands/mnemehq/mneme/context/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/commands/mnemehq/mneme/context"><img src="https://agentmods.dev/badge/commands/mnemehq/mneme/context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 141 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	$0.00010	$0.00141
Opus 5.5	$0.00004	$0.00056
Sonnet 5.5	$0.00002	$0.00028
Haiku 4.5	$0.00001	$0.00014

Measured 2mo ago against content hash 038ab0b0c9e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

context 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

mneme-context — 100% identical, 0 lines differ

integrations/claude-code-plugin/commands/context.md · 20 lines

What it actually says

Use the Bash tool to run:

mneme test_query \
  --memory .mneme/project_memory.json \
  --query "<user's task description>"

Surface the top decisions and their constraints so the user can see what governs the current work before making edits.

Tip: Use a descriptive query that names the domain of the work (e.g. "database storage layer", "authentication middleware", "API serialization"). Retrieval is keyword-based — the more specific the query, the more relevant the decisions returned. A generic query like "edit" will retrieve few or no decisions.

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 · 20 lines · 10 tokens per session scan A 038ab0b0c9e0

Subscribe to this mod's changes

context is a command published in the GitHub repository MnemeHQ/mneme (31 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 141 once invoked, about $0.0000 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 2026-08-30.

Claude Code LLM Memory and context ai-coding architectural-decision-records developer-tools software-architecture

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