druid-javascript-rce

druid-javascript-rce is a skill for Claude Code, Codex from cxcscmu/SkillLearnBench. It costs 36 tokens per session (460 once invoked), scanned A, original, MIT.

A security guide for fixing a known Apache Druid vulnerability that could allow authenticated users to run server-side JavaScript. Apache Druid is a system for storing and querying large analytical datasets.

In plain words
What is it for?
Use it when patching affected Druid classes by hardening Jackson injection and validating JavaScript settings.
Why use it?
It helps prevent configuration data from being overridden through JSON and ensures disabled JavaScript features stay disabled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when patching affected Druid classes by hardening Jackson injection and validating JavaScript settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cxcscmu/skilllearnbench/druid-javascript-rce
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 cxcscmu/SkillLearnBench --skill druid-javascript-rce
Clone the repo
git clone --depth 1 https://github.com/cxcscmu/SkillLearnBench

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 druid-javascript-rce

README.md
[![agentmods](https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/druid-javascript-rce.svg)](https://agentmods.dev/skills/cxcscmu/skilllearnbench/druid-javascript-rce)
Your own site
<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/druid-javascript-rce"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/druid-javascript-rce.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 460 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00460
Opus 5 $0.00018 $0.00230
Sonnet 5 $0.00007 $0.00092
Haiku 4.5 $0.00004 $0.00046

Measured 3d ago against content hash c218c08f4ea7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

druid-javascript-rce 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 3d 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/b1-one-shot-claude-opus-4-6/fix-security-bug/druid-javascript-rce/SKILL.md · 57 lines

What it actually says

Apache Druid JavaScript RCE Vulnerability

Overview

Apache Druid 0.20.0 allows authenticated users to execute arbitrary server-side code through JavaScript-based features (filters, aggregators, extraction functions, etc.) even when JavaScript is disabled via druid.javascript.enabled=false.

Root Cause

All JavaScript-related classes use @JacksonInject JavaScriptConfig config to receive the server-side JavaScript configuration. Jackson's default behavior allows JSON input to override injected values via an empty key "".

Affected Classes

  1. JavaScriptDimFilter - processing module
  2. JavaScriptAggregatorFactory - processing module
  3. JavaScriptExtractionFn - processing module
  4. JavaScriptPostAggregator - processing module
  5. JavaScriptParseSpec - core module
  6. JavaScriptTieredBrokerSelectorStrategy - server module (already has constructor check)

Fix Strategy

For each affected class:

  1. Change @JacksonInject to @JacksonInject(useInput = OptBoolean.FALSE)
  2. Add Preconditions.checkState(config.isEnabled(), "JavaScript is disabled") in constructors that don't already have it

Exploit Payload Example

{
  "type": "index",
  "spec": {
    "dataSchema": {
      "transformSpec": {
        "filter": {
          "type": "javascript",
          "dimension": "dim",
          "function": "function(x){java.lang.Runtime.getRuntime().exec('cmd')}",
          "": {"enabled": true}
        }
      }
    }
  }
}

Modules Requiring Rebuild

  • druid-core (JavaScriptParseSpec)
  • druid-processing (JavaScriptDimFilter, JavaScriptAggregatorFactory, JavaScriptExtractionFn, JavaScriptPostAggregator)
  • druid-server (JavaScriptTieredBrokerSelectorStrategy)
  • druid-indexing-service (sampler endpoint, depends on above)
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. 3d ago First seen · 57 lines · 36 tokens per session scan A c218c08f4ea7

Subscribe to this mod's changes

druid-javascript-rce is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 460 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

agentsop-dify

SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable. Use when shipping LLM apps fast with a "no-code to pro-code" gradient, especially when non-engineers need to co-author the flow.

agentsope/SkillAlchemy · 69 tokens

agentsop-dspy

Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models. Activate when the user says any of: "use DSPy", "compile a prompt", "optimize prompts/programs", "MIPRO/MIPROv2", "BootstrapFewShot", "GEPA", "Signatures + Modules", "teleprompter", "auto-tune prompts…

agentsope/SkillAlchemy · 157 tokens

agentsop-output-format-by-model

Pick an LM output format per (task x consumer x model) rather than by reflex: different formats carry different cognitive load (e.g. code-in-JSON makes the same model write worse code than plain-text+diff, while asking for prose when you need a typed object fails the other way). Use when designing or debugging an LM's…

agentsope/SkillAlchemy · 111 tokens

senior-data-engineer

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality…

benchflow-ai/skillsbench · 100 tokens

agentsop-crewai

SOP for building multi-agent systems with CrewAI — role-based collaboration, sequential/hierarchical processes, Flows, memory, delegation. Use when modeling agent teams with clear roles and task pipelines.

agentsope/SkillAlchemy · 45 tokens

agentsop-framework-selection

Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph, LlamaIndex, DSPy, CrewAI, vLLM, Aider, Dify) into one layered rubric. Core stance: frameworks are LAYERS, not competitors — a…

agentsope/SkillAlchemy · 189 tokens