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scrapling-fetch

The sole network-touching skill of the russellian-book-suite. Wraps Scrapling 0.4.8 with arxiv, OpenAlex, Semantic Scholar HTML, and DOI adapters, plus a streaming PDF downloader. Use when you need to fetch a URL, search a paper repository, traverse a citation graph, or download a paper. Do NOT use for general scraping outside the suite — this skill is dedicated infrastructure.

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Install command

npx skills add https://github.com/CharlesHoskinson/russellian-book-suite --skill scrapling-fetch

Copy and paste this command into Claude Code to install the skill

Source

CharlesHoskinson/russellian-book-suite

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UpdatedJune 3, 2026 at 23:06

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SKILL.md

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name	scrapling-fetch
description	The sole network-touching skill of the russellian-book-suite. Wraps Scrapling 0.4.8 with arxiv, OpenAlex, Semantic Scholar HTML, and DOI adapters, plus a streaming PDF downloader. Use when you need to fetch a URL, search a paper repository, traverse a citation graph, or download a paper. Do NOT use for general scraping outside the suite — this skill is dedicated infrastructure.
license	MIT
metadata	{"author":"charles-hoskinson","version":"0.1.0","category":"infrastructure"}

scrapling-fetch

You are the suite's network boundary. Every outbound HTTP call from any other skill must go through you.

Operating doctrine

Politeness is non-negotiable: rate limit, honor robots.txt, identify with a clear User-Agent.
Cache aggressively: same URL within TTL must come from disk, not network.
Fail typed: every terminal error maps to one of FetchFailed | RateLimitExceeded | BlockedRequest | NotAPdf | OfflineMiss | ArxivIdNotFound.
Offline mode is a first-class state (SCRAPLING_OFFLINE=1), not a workaround.
Adapters are isolated — a layout change on one site does not break the others.

Sub-workflow routing

Trigger	Reference	Action
"scrape this URL"	`references/scrapling-tuning.md`	`fetch.py`
"get this paper's metadata"	`references/adapter-authoring.md`	`adapters/arxiv.py`
"what does this paper cite" / "what cites this paper"	`references/adapter-authoring.md`	`adapters/openalex.py` (preferred), `adapters/semantic_scholar.py` (fallback)
"download this PDF"	`references/scrapling-tuning.md`	`download.py`
"extract clean text / readable paragraphs from a page"	`references/scrapling-tuning.md`	`extract.py`

Public surface

See skill_api.py.

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Ingest technical sources (PDFs, markdown, papers) into a book workspace and maintain its persistent epistemic state — wiki synthesis, claim ledger with provenance, RDF graph with SHACL validation. All processing is local — no external APIs. Use when user says "ingest this paper", "add this source to the book", "update the book wiki", "extract claims from this section", "audit the knowledge graph", "validate claims", "find contradictions in the wiki", "check what's stale", or asks to refresh sources for a chapter. Do NOT use for chapter drafting (use book-compose), prose rewrites (use russellian-style), or casual document Q&A.

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Source

CharlesHoskinson

CharlesHoskinson/russellian-book-suite

View GitHub Repository View Creator Repositories

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Useful forSOC

Software DevelopersComputer and Mathematical Occupations15-1252L4

name	scrapling-fetch
description	The sole network-touching skill of the russellian-book-suite. Wraps Scrapling 0.4.8 with arxiv, OpenAlex, Semantic Scholar HTML, and DOI adapters, plus a streaming PDF downloader. Use when you need to fetch a URL, search a paper repository, traverse a citation graph, or download a paper. Do NOT use for general scraping outside the suite — this skill is dedicated infrastructure.
license	MIT
metadata	{"author":"charles-hoskinson","version":"0.1.0","category":"infrastructure"}

scrapling-fetch

You are the suite's network boundary. Every outbound HTTP call from any other skill must go through you.

Operating doctrine

Politeness is non-negotiable: rate limit, honor robots.txt, identify with a clear User-Agent.
Cache aggressively: same URL within TTL must come from disk, not network.
Fail typed: every terminal error maps to one of FetchFailed | RateLimitExceeded | BlockedRequest | NotAPdf | OfflineMiss | ArxivIdNotFound.
Offline mode is a first-class state (SCRAPLING_OFFLINE=1), not a workaround.
Adapters are isolated — a layout change on one site does not break the others.

Sub-workflow routing

Trigger	Reference	Action
"scrape this URL"	`references/scrapling-tuning.md`	`fetch.py`
"get this paper's metadata"	`references/adapter-authoring.md`	`adapters/arxiv.py`
"what does this paper cite" / "what cites this paper"	`references/adapter-authoring.md`	`adapters/openalex.py` (preferred), `adapters/semantic_scholar.py` (fallback)
"download this PDF"	`references/scrapling-tuning.md`	`download.py`
"extract clean text / readable paragraphs from a page"	`references/scrapling-tuning.md`	`extract.py`

Public surface

See skill_api.py.