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 LeonChaoX/qinyan-academic-skills --skill parallel-webgit clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skillsWrote 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/leonchaox/qinyan-academic-skills/parallel-web)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/parallel-web"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/parallel-web/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/leonchaox/qinyan-academic-skills/parallel-web"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/parallel-web.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 | $0.00044 | $0.02655 |
| Opus 5 | $0.00022 | $0.01327 |
| Sonnet 5 | $0.00009 | $0.00531 |
| Haiku 4.5 | $0.00004 | $0.00265 |
Grade A, and why
parallel-web 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 10d 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.
This is a copy
100% identical to parallel-web — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel Web Systems API
Overview
This skill provides access to Parallel Web Systems APIs for web search, deep research, and content extraction. It is the primary tool for all web-related operations in the scientific writer workflow.
Primary interface: Parallel Chat API (OpenAI-compatible) for search and research. Secondary interface: Extract API for URL verification and special cases only.
API Documentation: https://docs.parallel.ai
API Key: https://platform.parallel.ai
Environment Variable: PARALLEL_API_KEY
When to Use This Skill
Use this skill for ALL of the following:
- Web Search: Any query that requires searching the internet for information
- Deep Research: Comprehensive research reports on any topic
- Market Research: Industry analysis, competitive intelligence, market data
- Current Events: News, recent developments, announcements
- Technical Information: Documentation, specifications, product details
- Statistical Data: Market sizes, growth rates, industry figures
- General Information: Company profiles, facts, comparisons
Use Extract API only for:
- Citation verification (confirming a specific URL's content)
- Special cases where you need raw content from a known URL
Do NOT use this skill for:
- Academic-specific paper searches (use
research-lookupwhich routes to Perplexity for purely academic queries) - Google Scholar / PubMed database searches (use
citation-managementskill)
Two Capabilities
1. Web Search (search command)
Search the web via the Parallel Chat API (base model) and get a synthesized summary with cited sources.
Best for: General web searches, current events, fact-finding, technical lookups, news, market data.
# Basic search
python scripts/parallel_web.py search "latest advances in quantum computing 2025"
# Use core model for more complex queries
python scripts/parallel_web.py search "compare EV battery chemistries NMC vs LFP" --model core
# Save results to file
python scripts/parallel_web.py search "renewable energy policy updates" -o results.txt
# JSON output for programmatic use
python scripts/parallel_web.py search "AI regulation landscape" --json -o results.json
What ships with it
6 files 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.
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.
- 10d ago First seen · 315 lines · 44 tokens per session scan A 5d3941e6754d
parallel-web is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (877 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 2,655 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to parallel-web, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
academic-research
Nested swiss-knife reference for academic literature work — find papers, fetch full-text PDFs, trace citations, write LaTeX manuscripts. First action for any "get me this paper" request: python3 /scripts/fetchpaper.py — walks arXiv → Unpaywall → Europe PMC → CORE → in-house publisher-page extraction…
paper-workbench
Researcher-profile-driven paper intake and literature workbench for academic workflows. Use whenever the user wants to skim, deep-read, card, compare, synthesize, map research gaps, or build a literature review from papers, arXiv/AlphaXiv links, DOIs, PDFs, or existing workbench artifacts. Trigger even when the user…
research-agent
Project-first Research pipeline with live gates, source/PDF evidence, claim boundaries, compute and publication controls; includes an optional PubMed/arXiv standard-library helper.
scholar-deep-research
Use when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires…
scholar-sidekick
This skill should be used when the user mentions a scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, NASA ADS bibcode, WHO IRIS URL) and wants structured metadata, a formatted citation, a bibliography export file, a retraction check, an open-access check, or verification that a claimed citation is real (not…
openalex
Use when the user asks about academic literature, research papers, scholarly works, authors, citations, institutions, journals, or any academic metadata. Trigger when users want to search for papers, find author profiles, track citations, discover related works, or explore academic topics. Also use when users mention…