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deepxiv-sdk

Use the DeepXiv SDK for citation-aware academic and web research through its Python Reader, deepxiv CLI, progressive paper APIs, optional local LangGraph agent, PMC, bioRxiv/medRxiv, and trending workflows.

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查看安装方法

包含的文件(23)

  • SKILL.md3.3 KB
  • references/repo-provenance.md1.7 KB
  • references/repo-routing-metadata.json769 B
  • references/troubleshooting.md4.0 KB
  • scripts/check_install.py2.9 KB
  • sub-skills/cli-and-operations/references/cli-reference.md12.9 KB
  • sub-skills/cli-and-operations/references/configuration.md5.5 KB
  • sub-skills/cli-and-operations/references/troubleshooting.md6.8 KB
  • sub-skills/cli-and-operations/scripts/cli_smoke.py2.2 KB
  • sub-skills/cli-and-operations/SKILL.md2.8 KB
  • sub-skills/optional-local-agent/references/api-reference.md6.2 KB
  • sub-skills/optional-local-agent/references/tool-protocol.md7.5 KB
  • sub-skills/optional-local-agent/references/troubleshooting.md5.7 KB
  • sub-skills/optional-local-agent/references/workflows.md4.9 KB
  • sub-skills/optional-local-agent/scripts/agent_dependency_probe.py6.9 KB
  • sub-skills/optional-local-agent/SKILL.md3.8 KB
  • sub-skills/reader-and-paper-research/references/api-reference.md14.1 KB
  • sub-skills/reader-and-paper-research/references/source-and-citations.md6.1 KB
  • sub-skills/reader-and-paper-research/references/troubleshooting.md7.8 KB
  • sub-skills/reader-and-paper-research/references/workflows.md9.1 KB
  • sub-skills/reader-and-paper-research/scripts/reader_probe.py4.2 KB
  • sub-skills/reader-and-paper-research/scripts/stream_agent_answer.py5.6 KB
  • sub-skills/reader-and-paper-research/SKILL.md4.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

DeepXiv SDK

Use this repo skill when a task needs DeepXiv's hosted literature service or its optional local research agent. It teaches a later Researcher how to choose between the Python SDK and CLI, preserve citations and evidence strength, and avoid credential, quota, truncation, and stale-API mistakes.

Start here

  1. Confirm the installed package and CLI are the expected 1.0.x surface: python -c "import deepxiv_sdk; print(deepxiv_sdk.__version__)" and deepxiv --help. If the executable lists an older command set, repair the installation before using route-specific flags.
  2. Install the base package with python -m pip install deepxiv-sdk. For the optional local OpenAI-compatible LangGraph agent use python -m pip install "deepxiv-sdk[agent]" (or [all]) and install tiktoken separately if the optional-import probe reports it missing.
  3. Keep DeepXiv and model-provider credentials outside prompts, source files, logs, and commits. Ordinary retrieval uses a DeepXiv token; hosted ask requires a registered account key and has a separate agentic quota.
  4. Run the no-network installation check before diagnosing package or optional-dependency problems.

Route by task

  • Python literature research: Read reader-and-paper-research for Reader, hosted agentic search, source/citation handling, progressive reading, biomedical sources, PMC, and trending signals.
  • Shell commands and operations: Read cli-and-operations for command selection, flag partitions, JSON/text output, stdout/stderr, token setup, health/debug, and CLI recovery.
  • Local model-driven research loop: Read optional-local-agent for the optional Agent, LangGraph tools, provider options, persistent paper context, budgets, and circuit-breaker behavior.

Shared operating rules

  • Prefer the narrowest evidence operation: search or brief first, then head, one or two sections, or preview; avoid raw/json for routine screening.
  • Hosted agent_search and agent_search_stream distinguish arXiv and web flags. Preserve arXiv IDs or URLs, separate retrieved sources from sources cited in the answer, and reject answer_truncated or streamed error output as complete evidence.
  • The SDK retries ordinary GET timeouts/connections with exponential backoff, but hosted agentic calls deliberately do not auto-retry because each call can spend quota. Correct the query or wait rather than hammering the endpoint.
  • Network, registered credentials, remote LLM keys, and live service results are runtime prerequisites; this skill does not claim them from import or help checks. Read cross-cutting troubleshooting and the provenance baseline when a mismatch or stale checkout is suspected.

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