AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Goodmem:python

skill-pair-systems-inc-goodmem-claude-code-plugin-python · by PAIR-Systems-Inc

Use when the user wants to write Python code that interacts with GoodMem — creating embedders, spaces, memories, retrieval, managing API keys, etc. Provides the complete SDK reference for the goodmem Python package.

— No reviews yet
0 installs
15 views
0.0% view→install

Install

$ agentstack add skill-pair-systems-inc-goodmem-claude-code-plugin-python

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-pair-systems-inc-goodmem-claude-code-plugin-python)

Reliability & compatibility

✓ Security review passed
0 installs to date
— no reviews yet
● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Goodmem:python? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

You have access to the GoodMem Python SDK. Use it to write Python code that accomplishes the user's request.

See [reference.md](reference.md) for the complete API reference including all method signatures, convenience shortcuts, available model identifiers, error handling, and common patterns.

Key principles:

  • Context managers recommended: with Goodmem(...) as client: (plain construction is fine in short scripts)
  • For create methods, pass flat kwargs (convenience transforms handle the rest)
  • For update methods, pass either a typed request object or a plain dict
  • Use model_identifier for embedders/LLMs/rerankers — the SDK auto-infers provider, endpoint, etc.
  • Use api_key="sk-..." on create (not credentials) — the SDK builds the credential struct
  • Iterate paginated results directly: for item in client.spaces.list():
  • Use stream=False on retrieve if you want a plain list instead of a stream
  • SaaS endpoints require api_key: creating an embedder/LLM/reranker for a known SaaS provider (OpenAI, Cohere, Voyage, Jina, Anthropic, Google, Mistral) without api_key raises ValueError: Provider '...' at '...' requires an API key. — always pass api_key="sk-..."

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.