stress-test-paper-overview

stress-test-paper-overview is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 33 tokens per session (350 once invoked), scanned A, original, Apache-2.0.

A literature-overview procedure that finds academic papers and returns their abstracts and publication details. An abstract is a paper's short summary, not its full evidence.

In plain words
What is it for?
Use it to discover papers and build an initial view of a research field before reading summaries or full text.
Why use it?
It provides a quick map of relevant research while preventing conclusions based only on abstracts.

Skill for Claude CodeCodex

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

Good fit Use it to discover papers and build an initial view of a research field before reading summaries or full text.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/stress-test-paper-overview
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 yogsoth-ai/stress-test --skill stress-test-paper-overview
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/stress-test

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 stress-test-paper-overview

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-overview/github.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-overview)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-overview"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-overview/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for stress-test-paper-overview

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-overview"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-overview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 350 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 $0.00033 $0.00350
Opus 5 $0.00016 $0.00175
Sonnet 5 $0.00007 $0.00070
Haiku 4.5 $0.00003 $0.00035

Measured 8d ago against content hash 4eebe3d827dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

stress-test-paper-overview 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 8d 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/stress-test-paper-overview/SKILL.md · 47 lines

What it actually says

Paper Overview

Paper landscape scan — abstracts and metadata only.

Execution

Import — strictly follow literature-engine/paper-overview skill protocol.

Quality Gate

Returns abstracts only. Do NOT draw conclusions about methodology, results, or contributions from abstracts. Use paper-search or paper-research for substantive claims.

Budget

Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one discover_papers or relevanceSearch call.

Import Source

literature-engine repo → skills/paper-overview/SKILL.md

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
literature-overview Quick landscape scan — discover papers on a topic without full-text reading
stress-test-paper-research Paper full text access via alphaxiv answer_pdf_queries or get_paper_content(fullText=true). Import of literature-engine/paper-research skill. Raw extracted text for precise claims.
stress-test-paper-search Paper AI summary report via alphaxiv get_paper_content. Import of literature-engine/paper-search skill. Structured AI-generated intermediate report.
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. 8d ago First seen · 47 lines · 33 tokens per session scan A 4eebe3d827dd

Subscribe to this mod's changes

stress-test-paper-overview is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 350 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.

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