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.
npx skills add yogsoth-ai/stress-test --skill stress-test-paper-searchgit clone --depth 1 https://github.com/yogsoth-ai/stress-testWrote 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.
[](https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-search)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-search"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-search/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.
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-search"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00307 |
| Opus 5.5 | $0.00013 | $0.00123 |
| Sonnet 5.5 | $0.00007 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
stress-test-paper-search 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 1mo 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.
What it actually says
Paper Search
Paper AI summary report — structured intermediate report optimized for LLM consumption.
Execution
Import — strictly follow literature-engine/paper-search skill protocol.
Quality Gate
Returns AI-generated summary. Sufficient for methodology and results claims. For exact quotes or detailed data, use paper-research (full text).
Budget
Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one get_paper_content call.
Import Source
literature-engine repo → skills/paper-search/SKILL.md
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| literature-search | Medium-depth literature search — read AI-summarized reports for every paper analyzed |
| 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. |
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.
- 1mo ago First seen · 45 lines · 33 tokens per session scan A 7fe102ac1024
stress-test-paper-search is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 307 once invoked, about $0.0001 per session on Opus 5.5. 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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