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 beita6969/ScienceClaw --skill parallel-webgit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/parallel-web)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/parallel-web"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/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/beita6969/scienceclaw/parallel-web"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/parallel-web.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- parallel-web — 100% identical, 0 lines differ
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.
- 7d ago First seen · 315 lines · 44 tokens per session scan A 5d3941e6754d
parallel-web is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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