Indexado en Registry

literature-search

Precio sin confirmar★ 163 Estrellas de GitHubRegistro actualizado · 6 sept 2026agent-skill

Resumen

Use when a loop needs scholarly literature — paper discovery, novelty checks, full-text snippet search, citation-graph traversal, single-paper reads, or experimental-result extraction. A shared, stdlib-only CLI (`tools/lit_search.py`) over Semantic Scholar + arXiv (plus optional OpenAlex, Perplexity Sonar, bgpt.pro), all JSON. Not a loop itself: install it alongside the loops and let any of them call it instead of vendoring their own copy. Degrades to the caller's WebSearch/WebFetch.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Literature Search (shared toolchain)

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.

How a loop uses it

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-word python3 .../lit_search.py in a variable and calling $VAR tries to exec one long (nonexistent) filename. Use the executable single-token form above, call the script path directly, or split explicitly (${=VAR} in zsh).

Subcommands

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.

API keys (the shared convention — optional, never block)

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.

Plain KEY=VALUE lines; # comments; blank lines ignored; 0600 perms.
A real OS environment variable always wins over the file (CI/power users can just export).
All keys are optional — a missing key degrades that one feature gracefully, down to WebSearch.
Secrets never enter the conversation — the user edits 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.

Constraints

Stdlib only — never add a dependency or assume one is installed; it must run under bare python3.
Self-contained — everything lives under this folder; no ../ escapes, no docs/ links.
Fail closed to a fallback — on any source error, emit {"error","fallback"} and exit non-zero rather than raising, so callers degrade cleanly.

Ver fuente ↗

Metadatos del archivo

name: literature-search
description: >
  Use when a loop needs scholarly literature — paper discovery, novelty checks, full-text snippet
  search, citation-graph traversal, single-paper reads, or experimental-result extraction. A shared,
  stdlib-only CLI (`tools/lit_search.py`) over Semantic Scholar + arXiv (plus optional OpenAlex,
  Perplexity Sonar, bgpt.pro), all JSON. Not a loop itself: install it alongside the loops and let any
  of them call it instead of vendoring their own copy. Degrades to the caller's WebSearch/WebFetch.
compatibility: Requires Python 3.9+
metadata:
  version: "0.1.0"

Ver texto original

---
name: literature-search
description: >
  Use when a loop needs scholarly literature — paper discovery, novelty checks, full-text snippet
  search, citation-graph traversal, single-paper reads, or experimental-result extraction. A shared,
  stdlib-only CLI (`tools/lit_search.py`) over Semantic Scholar + arXiv (plus optional OpenAlex,
  Perplexity Sonar, bgpt.pro), all JSON. Not a loop itself: install it alongside the loops and let any
  of them call it instead of vendoring their own copy. Degrades to the caller's WebSearch/WebFetch.
compatibility: Requires Python 3.9+
metadata:
  version: "0.1.0"
---

# Literature Search (shared toolchain)

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.

## How a loop uses it

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-word `python3 .../lit_search.py` in a variable and
> calling `$VAR` tries to exec one long (nonexistent) filename. Use the executable single-token form
> above, call the script path directly, or split explicitly (`${=VAR}` in zsh).

## Subcommands

| 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.

## API keys (the shared convention — optional, never block)

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.

- Plain `KEY=VALUE` lines; `#` comments; blank lines ignored; `0600` perms.
- **A real OS environment variable always wins** over the file (CI/power users can just `export`).
- **All keys are optional** — a missing key degrades that one feature gracefully, down to WebSearch.
- **Secrets never enter the conversation** — the user edits `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.

## Constraints
- **Stdlib only** — never add a dependency or assume one is installed; it must run under bare `python3`.
- **Self-contained** — everything lives under this folder; no `../` escapes, no `docs/` links.
- **Fail closed to a fallback** — on any source error, emit `{"error","fallback"}` and exit non-zero
  rather than raising, so callers degrade cleanly.

Revisar el código fuente

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Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

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Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: gaasher/Agent-Loop-Skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 30 jun 2026
Registro actualizado: 6 sept 2026
Ruta de instrucciones: loops/literature-search/SKILL.md @ f1169e6db0b0

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

63/100

Prometedor

Confianza

62/100

Solo sandbox

Auditoría

72/100

Requiere revisión

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Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Resultados: —

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      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 63,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "RAG and knowledge",
    "maintenance": "4mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "yanliudesign-mono-color-skill",
      "name": "mono-color",
      "url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
      "stars": 1919,
      "install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
      "trust_score": 83,
      "audit_score": 90
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use literature-search in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 72/100 Needs review",
      "Safety: 28/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "gaasher-literature-search (literature-search)",
      "install_command": "npx skills add gaasher/Agent-Loop-Skills --skill literature-search",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "gaasher-literature-search",
      "task": "Use literature-search in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/gaasher-literature-search",
    "api": "https://www.openagentskill.com/api/agent/skills/gaasher-literature-search",
    "audit": "https://www.openagentskill.com/skills/gaasher-literature-search/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=gaasher-literature-search&task=Use%20literature-search%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20literature-search%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20literature-search%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/gaasher-literature-search/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/gaasher-literature-search"
  }
}

Para el creador

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Creador: gaasher
Fuente: gaasher/Agent-Loop-Skills
Indexado por: Índice comunitario de OpenAgentSkill

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/gaasher-literature-search?metric=listed&label=Listed)](https://www.openagentskill.com/skills/gaasher-literature-search?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/gaasher-literature-search?metric=trust&label=Trust)](https://www.openagentskill.com/skills/gaasher-literature-search?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/gaasher-literature-search?metric=audit&label=Audit)](https://www.openagentskill.com/skills/gaasher-literature-search/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/gaasher-literature-search?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/gaasher-literature-search?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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