What is goodmem:help?

A help guide for GoodMem, a service that stores searchable memories for AI agents using vector embeddings and retrieval. It explains setup, available skills, and required credentials.

Use it when you need to learn how to start GoodMem, check its available skills, configure a server address and API key, or understand its memory and search features.

It clarifies which GoodMem tools exist and what must be configured before using them, reducing setup mistakes.

goodmem:help — Skill for Claude Code by PAIR-Systems-Inc

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 PAIR-Systems-Inc/goodmem-claude-code-plugin --skill help

Clone the repo

git clone --depth 1 https://github.com/PAIR-Systems-Inc/goodmem-claude-code-plugin

Made for: Claude Code.

Or install goodmem, the plugin that ships this one along with the rest of its 4 skills, 1 MCP server.

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/pair-systems-inc/goodmem-claude-code-plugin/help/github.svg)](https://agentmods.dev/skills/pair-systems-inc/goodmem-claude-code-plugin/help)

Your own site

<a href="https://agentmods.dev/skills/pair-systems-inc/goodmem-claude-code-plugin/help"><img src="https://agentmods.dev/badge/skills/pair-systems-inc/goodmem-claude-code-plugin/help/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/pair-systems-inc/goodmem-claude-code-plugin/help"><img src="https://agentmods.dev/badge/skills/pair-systems-inc/goodmem-claude-code-plugin/help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 924 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	$0.00046	$0.00924
Opus 5.5	$0.00018	$0.00370
Sonnet 5.5	$0.00009	$0.00185
Haiku 4.5	$0.00005	$0.00092

Measured 1mo ago against content hash c121c923569b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

goodmem:help 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 1mo 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/help/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GoodMem Plugin — Help & Overview

GoodMem is memory infrastructure for AI agents — store, retrieve, and manage memories with vector embeddings, semantic search, and RAG.

Credential Setup

Before calling any GoodMem MCP tool, you MUST ensure credentials are configured. Follow this sequence:

Try calling goodmem_system_info to check if credentials are already set (from environment variables).
If it fails with a connection or auth error, ask the user for:
- Base URL — their GoodMem server address (e.g., https://your-server.example.com)
- API key — starts with gm_
Call goodmem_configure with the provided base_url and api_key.
Confirm the connection succeeded before proceeding.

Credentials persist for the entire session. The user can call goodmem_configure again to switch servers.

If the user has set GOODMEM_BASE_URL and GOODMEM_API_KEY environment variables before starting Claude Code, credentials are picked up automatically — no setup needed.

TLS errors? For a private or self-signed CA, tell the user to set NODE_EXTRA_CA_CERTS to the absolute path of its PEM certificate file before launching Claude Code, then restart the MCP connection. Certificate errors can also indicate an expired or invalid server certificate; those must be fixed on the server.

Available Skills

`goodmem:mcp` — MCP Tools Reference

Reference for all GoodMem MCP tools. Use this when you need to look up tool names, parameters, or behavior. The MCP tools let you operate GoodMem directly — create embedders, store memories, run retrieval — all via natural language.

`goodmem:python` — Python SDK Reference

Complete API reference for the goodmem Python package. Use this when writing Python code that integrates with GoodMem. Includes method signatures, convenience shortcuts, model identifiers, and code examples.

`goodmem:java` — Java SDK Reference

Usage reference for the ai.pairsys:goodmem-java package. Use this when writing Java code that integrates with GoodMem. Includes client setup, request builders, typed IDs, streaming, pagination, async usage, and common RAG patterns.

Read the full file on GitHub · 82 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.

1mo ago Changed · -2 lines c121c923569b
1mo ago First seen · 84 lines · 46 tokens per session scan A cfd0813e023d

Subscribe to this mod's changes

goodmem:help is a skill published in the GitHub repository PAIR-Systems-Inc/goodmem-claude-code-plugin (9 stars, last pushed 4d ago), licensed MIT. It adds 46 tokens to every session and 924 once invoked, about $0.0002 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.

Claude Code Data and AI Memory and context RAG and vectors agent-memory ai-memory goodmem llm-memory long-term-memory

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