From agent-loops
Discovers and retrieves scholarly literature via Semantic Scholar, arXiv, and optional OpenAlex, Perplexity Sonar, bgpt.pro. Handles paper discovery, citation-graph traversal, full-text snippet search, and experimental-result extraction. Degrades to WebSearch/WebFetch on failure.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agent-loops:literature-searchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill is **not a loop** — it is the literature-retrieval dependency several loops use for paper
This skill is not a loop — it is the literature-retrieval dependency several loops use for paper
discovery and novelty checks. It bundles tools/lit_search.py (a stdlib-only entrypoint) and the
tools/lit/ package: Semantic Scholar (S2) for semantic search + snippets + the citation graph and
arXiv for full-text reads (the keyless core), plus optional OpenAlex, Perplexity Sonar (ask), and
bgpt.pro (bgpt) when their keys are set. Every subcommand prints JSON; on a terminal failure it
prints {"error","fallback"} and exits non-zero so the caller degrades to its built-in
WebSearch/WebFetch. No installs, Python ≥3.9.
A consuming loop resolves these once at setup and reuses them:
<lit_skill_dir> — where this skill is installed. After cp -r loops/* ~/.claude/skills/ it
sits as a sibling of the calling loop, e.g. ~/.claude/skills/literature-search/ (adjust per
host). If it cannot be resolved, the caller falls back to WebSearch/WebFetch — depending on it never
hard-breaks a loop, it only enriches it.<lit> — the literature CLI as a single command token: <lit_skill_dir>/tools/lit_search.py.
The entrypoint is executable and carries a #!/usr/bin/env python3 shebang, so it runs directly with
no python3 prefix. To reuse a cache across calls, append --cache-dir <sandbox_root>/literature/.cache
after the subcommand (a per-subcommand flag, not global).<lit_py> — only needed for the fallback form on a host that doesn't honour the execute bit:
<lit_py> <lit_skill_dir>/tools/lit_search.py, with <lit_py> = python3 (any ≥3.9 interpreter).Invoke
<lit>as one command — keep it a single shell token. In particular zsh does not word-split unquoted variables, so storing the two-wordpython3 .../lit_search.pyin a variable and calling$VARtries to exec one long (nonexistent) filename. Use the executable single-token form above, call the script path directly, or split explicitly (${=VAR}in zsh).
| Subcommand | Use |
|---|---|
<lit> search "<q>" [--year 2020-] [--min-citations N] [--limit N] [--source s2|openalex|both] [--sort relevance|citations|recent] | semantic discovery — related papers (titles, TLDR, abstract, citations, arxiv_id). Defaults to --source s2 (relevance); add openalex/both to widen discovery |
<lit> snippet "<q>" [--limit N] | full-text passage search — pinpoint a verbatim fact/number without reading a paper |
<lit> cite <paperId> --direction references|citations|recommend | walk the citation graph (backward / forward / "more like this") |
<lit> fulltext <arxivId> [--mode auto|latex|pdf] | deep-read one paper's methods/results (HTML > LaTeX > PDF) |
<lit> ask "<question>" [--model sonar|sonar-pro|sonar-reasoning] | Perplexity Sonar synthesis — a cited high-level answer (needs OPENROUTER_API_KEY; else use WebSearch) |
<lit> bgpt "<q>" [--num N] [--days-back N] | bgpt.pro structured experimental-result/limitations extraction (free for 50 results, then BGPT_API_KEY) |
<lit> keys [--init] | report which API keys are present (booleans only); --init writes/extends keys.env |
The S2 + arXiv core (search/snippet/cite/fulltext) needs no keys. The optional extras
(search --source openalex|both, ask, bgpt) widen discovery and synthesis when their keys are set.
This skill is the canonical home for the project's key convention (it is the installed code that
implements it). Keys live in one gitignored keys.env at the project root (the nearest .git
ancestor of the working dir, else the CWD), shared by every skill in the project.
KEY=VALUE lines; # comments; blank lines ignored; 0600 perms.export).keys.env themselves; skills read only
presence as booleans, never values.Onboarding flow: <lit> keys (report what's present) → <lit> keys --init (create/append slots,
append-only, never overwrites; prints the path) → user opens keys.env and pastes the keys they want
(in-session: ! $EDITOR ./keys.env) → <lit> keys again, then proceed. Never block on keys.
S2_API_KEY (free) — the one most worth setting; a dedicated 1 req/s for search/snippet/cite.OPENALEX_EMAIL (free, any email) — OpenAlex "polite pool" for faster --source openalex|both.OPENROUTER_API_KEY (paid) — enables ask (Perplexity Sonar); without it ask is disabled.BGPT_API_KEY (free for 50 results, then paid) — enables bgpt beyond the free tier.python3.../ escapes, no docs/ links.{"error","fallback"} and exit non-zero
rather than raising, so callers degrade cleanly.npx claudepluginhub gaasher/agent-loop-skills --plugin agent-loopsSearches Semantic Scholar (200M+ papers), inspects citations, downloads arXiv PDFs, and extracts text via a bundled Python CLI. Use for literature scans, deep reads, impact analysis, or reading lists.
Provides workflows for systematic literature reviews: PubMed/Semantic Scholar searches, paper screening with rubrics, data extraction, citation traversal. Use for research questions or session starts.
Performs deep research over Semantic Scholar's Graph API — references, recommendations, batch paper lookup (up to 500 IDs), snippet search, and multi-hop BFS citation graph traversal. Use for building citation networks, expanding literature seeds, finding related work, or resolving many DOI/arXiv/S2 IDs.