Claude Scientific Writer is an AI-assisted research and writing tool that searches literature and produces documents such as scientific papers, reports, posters, grant proposals, and reviews with citations. Researchers and technical writers can use it as a Claude Code plugin, Python package, or command-line tool, with the catalogue entries defining agent workflows for it.
Borrowing it
Nothing to install: this file belongs to K-Dense-AI/claude-scientific-writer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-writer/main/.claude/skills/parallel-web/SKILL.mdgit clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-writerWrote 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/k-dense-ai/claude-scientific-writer/parallel-web)<a href="https://agentmods.dev/skills/k-dense-ai/claude-scientific-writer/parallel-web"><img src="https://agentmods.dev/badge/skills/k-dense-ai/claude-scientific-writer/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/k-dense-ai/claude-scientific-writer/parallel-web"><img src="https://agentmods.dev/badge/skills/k-dense-ai/claude-scientific-writer/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 | $0.00055 | $0.01354 |
| Opus 5 | $0.00028 | $0.00677 |
| Sonnet 5 | $0.00011 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00135 |
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
88% identical to parallel-web — 21 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel Web Toolkit
A unified skill for Parallel's web-intelligence workflows. For scientific topics, prefer primary literature and authoritative institutional sources.
Routing — pick the right capability
Read the user's request and then open the corresponding reference file before running a command.
| User wants to... | Capability | Where |
|---|---|---|
| Look something up, research a topic, find current info | Web Search | references/web-search.md |
| Fetch content from a specific URL (webpage, article, PDF) | Web Extract | references/web-extract.md |
| Add web-sourced fields to a list of companies/people/products | Data Enrichment | references/data-enrichment.md |
| Get an exhaustive, multi-source report (user says "deep research", "exhaustive", "comprehensive") | Deep Research | references/deep-research.md |
| Discover a set of entities matching natural-language criteria | FindAll | references/findall.md |
| Track web changes on a recurring schedule | Monitor | references/monitor.md |
| Install or authenticate parallel-cli | Setup | Below |
| Check or retrieve an asynchronous result | Status and polling | Below and the capability reference |
Decision guide
- Web Search is the normal choice for a lookup or bounded research question.
- Web Extract is for a known public URL, including PDFs and JavaScript-rendered pages.
- Data Enrichment applies the same requested fields to user-supplied rows. Do not loop over Web Search for this.
- FindAll discovers the entities themselves. Use enrichment when the entities are already supplied.
- Deep Research is only for explicitly exhaustive or comprehensive requests because it is slower and more expensive.
- Monitor creates persistent external state and is only for explicitly recurring tracking. A one-time check belongs in Web Search or Web Extract.
- If
parallel-cliis not found when running any command, follow the Setup section below.
Academic source priority
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 · 129 lines · 55 tokens per session scan A 9a3cc8622891
parallel-web is a skill published in the GitHub repository K-Dense-AI/claude-scientific-writer (2,319 stars, last pushed 22d ago), licensed MIT. It adds 55 tokens to every session and 1,354 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to parallel-web, differing in 21 lines, and is treated as a copy.
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