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-researchgit 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-research)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-paper-research"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-research/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-research"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-paper-research.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 | $0.00043 | $0.00276 |
| Opus 5 | $0.00022 | $0.00138 |
| Sonnet 5 | $0.00009 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
stress-test-paper-research 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.
What it actually says
Paper Research
Paper full text access — raw extracted text for precise claims and exact data.
Execution
Import — strictly follow literature-engine/paper-research skill protocol.
Quality Gate
Returns full paper text. Use for exact quotes, detailed methodology, specific numbers, or any claim requiring precision beyond AI summary.
Budget
Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one answer_pdf_queries or get_paper_content(fullText=true) call.
Import Source
literature-engine repo → skills/paper-research/SKILL.md
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| literature-research | Deep literature research — raw full text reading and targeted PDF queries for rigorous analysis |
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.
- 8d ago First seen · 44 lines · 43 tokens per session scan A 570d25f62b30
stress-test-paper-research is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 276 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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