memcache-pentesting

memcache-pentesting is a skill for Claude Code, Codex from wgpsec/AboutSecurity. It costs 94 tokens per session (2,246 once invoked), scanned B, original, no licence file.

A security-testing guide for Memcached, an in-memory cache that applications use to store temporary data for faster access. It covers unauthorised access, cache extraction, amplification risks, and known vulnerabilities.

In plain words
What is it for?
Use it when Memcached is reachable on port 11211 or when checking cache access, stored data, denial-of-service amplification, or service vulnerabilities.
Why use it?
It helps reveal whether an exposed cache can be read without authentication or misused to expose data or amplify network attacks.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it when Memcached is reachable on port 11211 or when checking cache access, stored data, denial-of-service amplification, or service vulnerabilities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wgpsec/aboutsecurity/memcache-pentesting
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 wgpsec/AboutSecurity --skill memcache-pentesting
Clone the repo
git clone --depth 1 https://github.com/wgpsec/AboutSecurity

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.

agentmods badge for memcache-pentesting

README.md
[![agentmods](https://agentmods.dev/badge/skills/wgpsec/aboutsecurity/memcache-pentesting.svg)](https://agentmods.dev/skills/wgpsec/aboutsecurity/memcache-pentesting)
Your own site
<a href="https://agentmods.dev/skills/wgpsec/aboutsecurity/memcache-pentesting"><img src="https://agentmods.dev/badge/skills/wgpsec/aboutsecurity/memcache-pentesting.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,246 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00094 $0.02246
Opus 5 $0.00047 $0.01123
Sonnet 5 $0.00019 $0.00449
Haiku 4.5 $0.00009 $0.00225

Measured 4d ago against content hash bbb2284ff57d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade B, and why

memcache-pentesting scanned grade B with 1 finding 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 4d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt install libmemcached-tools
skills/exploit/network-service/memcache-pentesting/SKILL.md · 267 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 267 lines · 94 tokens per session scan B bbb2284ff57d

Subscribe to this mod's changes

memcache-pentesting is a skill published in the GitHub repository wgpsec/AboutSecurity (1,721 stars, last pushed 8d ago), with no licence file. It adds 94 tokens to every session and 2,246 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

pinecone

Managed vector DB for production RAG and search.

NousResearch/hermes-agent · 13 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

redis-search

Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines…

redis/agent-skills · 152 tokens

bun-redis

Use when working with Redis in Bun (ioredis, Upstash), caching, pub/sub, session storage, or key-value operations.

secondsky/claude-skills · 32 tokens

iris-development

Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use…

redis/agent-skills · 90 tokens

architecture-paradigm-space-based

Applies data-grid architecture for high-traffic stateful workloads. Use when a single database cannot scale and in-memory partitioning is needed.

athola/claude-night-market · 35 tokens