limem.stats

limem.stats is a skill for Claude Code, Codex from gaooooosh/limem-agent-plugin. It costs 15 tokens per session (88 once invoked), scanned A, original, MIT.

A LiMem health and statistics check for a local cache and its connected backend.

In plain words
What is it for?
Use it to inspect local pattern and event counts, and to view the backend user, database, and health status.
Why use it?
It shows whether the backend responds and how many active or deleted records the local cache contains.

Skill for Claude CodeCodex

Part of the limem plugin — 13 skills shipped together

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.

agentmods
npx agentmods add skills/gaooooosh/limem-agent-plugin/limem.stats
Any agent
npx skills add gaooooosh/limem-agent-plugin --skill limem.stats
Clone the repo
git clone --depth 1 https://github.com/gaooooosh/limem-agent-plugin

Made for: Claude Code, Codex.

Or install limem, the plugin that ships this one along with the rest of its 13 skills.

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.

agentmods badge for limem.stats

README.md
[![agentmods](https://agentmods.dev/badge/skills/gaooooosh/limem-agent-plugin/limem.stats.svg)](https://agentmods.dev/skills/gaooooosh/limem-agent-plugin/limem.stats)
Your own site
<a href="https://agentmods.dev/skills/gaooooosh/limem-agent-plugin/limem.stats"><img src="https://agentmods.dev/badge/skills/gaooooosh/limem-agent-plugin/limem.stats.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 88 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.00088
Opus 5 $0.00008 $0.00044
Sonnet 5 $0.00003 $0.00018
Haiku 4.5 $0.00002 $0.00009

Measured 5d ago against content hash fda3198abfbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

limem.stats 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 5d 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.

plugin-src/skills/limem.stats/SKILL.md · 12 lines

What it actually says

/limem.stats — 健康 & 统计

调 MCP limem_stats + limem_ping,渲染:

  • 本地 patterns_active / patterns_tombstoned / events_active / events_tombstoned
  • 后端 user_name / db_id / db_health
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.

  1. 5d ago First seen · 12 lines · 15 tokens per session scan A fda3198abfbc

Subscribe to this mod's changes

limem.stats is a skill published in the GitHub repository gaooooosh/limem-agent-plugin (2 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 88 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

pinecone

Managed vector DB for production RAG and search.

NousResearch/hermes-agent · 13 tokens

redis-inspect

Inspect Redis cache keys, values, and TTLs for debugging. Supports both main cache and system cache. Use for debugging cache issues, checking cached values, and monitoring cache state. Read-only by default.

civitai/civitai · 45 tokens

redis-js

Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization…

upstash/redis-js · 93 tokens

using-redis-token-buckets

Use when adding a bucket-like rate limit backed by Redis: a per-caller budget with burst capacity and continuous refill, a refund path for requests that did no work, or a limit whose Retry-After must be a real wait rather than a window edge. posthog/tokenbucket.py provides an atomic Lua token bucket (consume, refund…

PostHog/posthog-foss · 148 tokens

byted-milvus

Manages Milvus on Volcano Engine (Volcengine): provision/inspect/scale/delete clusters and run collection + CRUD/search operations via bundled CLIs. Use when the user mentions Milvus + Volcengine/Volcano Engine or asks to operate Milvus there.

bytedance/agentkit-samples · 60 tokens

vector-db

Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies.

RightNow-AI/openfang · 19 tokens