test-large-alloc

test-large-alloc is a skill for Claude Code from bruc3van/agent-skills-guard. It costs 12 tokens per session (34 once invoked), scanned A, original, MIT.

A test fixture for checking whether a skill can detect large memory allocations.

In plain words
What is it for?
Use it in tests of large-allocation detection. It is not described as a general-purpose skill.
Why use it?
It helps test safety checks for skills that might process unusually large amounts of data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

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/bruc3van/agent-skills-guard/large-alloc
Any agent
npx skills add bruc3van/agent-skills-guard --skill large-alloc
Clone the repo
git clone --depth 1 https://github.com/bruc3van/agent-skills-guard

Made for: Claude Code.

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 test-large-alloc

README.md
[![agentmods](https://agentmods.dev/badge/skills/bruc3van/agent-skills-guard/large-alloc.svg)](https://agentmods.dev/skills/bruc3van/agent-skills-guard/large-alloc)
Your own site
<a href="https://agentmods.dev/skills/bruc3van/agent-skills-guard/large-alloc"><img src="https://agentmods.dev/badge/skills/bruc3van/agent-skills-guard/large-alloc.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 34 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 5.1 $0.00012 $0.00034
Opus 5 $0.00006 $0.00017
Sonnet 5 $0.00002 $0.00007
Haiku 4.5 $0.00001 $0.00003

Measured 6d ago against content hash e8d1f97da943, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

test-large-alloc 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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/alloc.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src-tauri/tests/fixtures/security/rule_matrix/p0-signatures/large-alloc/SKILL.md · 10 lines

What it actually says

Test

This skill processes large datasets.

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. 6d ago First seen · 10 lines · 12 tokens per session scan A e8d1f97da943

Subscribe to this mod's changes

test-large-alloc is a skill published in the GitHub repository bruc3van/agent-skills-guard (384 stars, last pushed 25d ago), licensed MIT. It adds 12 tokens to every session and 34 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 2026-08-30.

Related

Other skills, from other repositories

skill-composition

CRITICAL: Skill composition engine for automatic workflow generation from skill metadata. Triggers: compose skills, orchestrate, workflow, combine skills, skill pipeline, multi-skill, 技能组合, 工作流编排, 技能发现, 自动编排, skill discovery, semantic matching, StateGraph generation.

XSpoonAi/spoon-awesome-skill · 65 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens