zjunlp

Verify a BibTeX file for hallucinated or fabricated references by cross-checking every entry against CrossRef, arXiv, and DBLP. Reports each reference as verified, suspect, or not found, with field-level mismatch details (title, authors, year, DOI). Use when…

Build and visualize a citation network from a source/target CSV to identify key papers, communities, and emerging hotspots; use when you have citation pairs and need fast literature review or trend analysis.

Verify, normalize, and enrich a single citation or paper identifier. Use when the user pastes a DOI, URL, arXiv ID, PubMed ID, citation string, or paper title and wants it checked.

Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says \"编译论文\", \"compile paper\", \"build PDF\", \"生成PDF\", or wants to compile LaTeX into a submission-ready PDF.

Automatically scan document reference lists and check against Retraction.

Use only SciAtlas search-papers to take a novice user from zero setup to an evidence-grounded evaluation of a research idea's novelty, feasibility, soundness, and differentiation. Trigger when the user asks whether an idea is worth pursuing or needs…

Use only SciAtlas search-papers to take a novice user from zero setup to literature-grounded research idea seeds. Trigger when the user wants new research directions, hypotheses, cross-topic combinations, project ideas, or brainstorming grounded in retrieved…

Use only SciAtlas search-papers to take a novice user from zero setup to prior-art grounding for a research idea. Trigger when the user gives an idea and asks for similar work, differentiation evidence, related work, motivation support, or literature-grounded…

Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet. Use when asked to find or reuse a skill, turn a repo/document/trace into a skill, assess skill quality, build a local skill graph, select skills for a task, or fill a…

Navigates the agent to a target appliance (microwave, stove, fridge, or sinkbasin) needed for object processing. Use when you are holding an object that needs heating, cooling, or cleaning and must move to the correct appliance station. Identifies the…

Prepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state. Use when the agent needs to heat, cool, or cook an item and must first open or close the appliance before placing an object inside.…

Cleans a specified object using an appropriate cleaning receptacle (e.g., sinkbasin). Use when a task requires an object to be in a clean state (e.g., "clean potato", "wash apple") before proceeding. Navigates to the cleaning location, performs the clean…

Operates a device or appliance (like a desklamp, microwave, or fridge) to interact with another object. Use when the task requires using a tool on a target item (e.g., "look at laptop under the desklamp", "heat potato with microwave"). Locates both the device…

Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles. Use when you first enter an environment and need to build a mental map for task planning. Processes raw observation text into a structured list of entities,…

Uses a heating appliance (microwave, stoveburner, oven) to apply heat to a specified object. Use when the task requires warming or cooking an item (e.g., "heat some egg", "warm the mug") and a heating appliance is available. Takes the object name and…

Use when the agent must collect and track multiple instances of the same object type in ALFWorld (e.g., "put two cellphone in bed"). This skill maintains a count of collected versus needed objects, guides systematic searching through receptacles, and ensures…

Self-evaluate the current agent on LongDS-Bench (zjunlp/DataMind): the long-horizon, multi-turn agentic data-analysis benchmark. Use this when the user asks to run, score, or benchmark an agent on LongDS / LongDS-Bench / DataMind longds, or to measure…

Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which…

Solve dabstep Average_Fee_Estimation problems. Use this skill for questions asking about average payment processing fees, which card scheme is cheapest/most expensive in an average scenario, and fee calculations based on card scheme, account type, MCC…

Use this skill for CSV data analysis tasks that require reading a local CSV file, checking row counts and columns, grouping records, computing rates or aggregates, creating a chart, and writing a short Markdown report.

Solve Applicable_Fee_IDs questions in the dabstep dataset. Use this skill whenever a question asks which fee IDs apply to a merchant, a specific account_type/aci combination, a specific day/month/year, or when reverse-looking up which merchants are affected…

Solve Average_Fee_Estimation questions in the dabstep dataset. Use this skill when asked about the average fee a card scheme charges for a given transaction value, or which card scheme is cheapest/most expensive in an average scenario. Handles filtering by…

Skill for computing average transaction value statistics from payment transaction data in the dabstep dataset. Use this skill when a question asks about average transaction amount/value grouped by a categorical field (e.g., shopper_interaction,…

Answers questions about the structure, metadata, field definitions, and business rules of the dabstep payment processing dataset. Use this skill when questions ask about: column names, field meanings, fee rule structure, which factors affect fees, fee…

The single place for every data constraint an experiment must satisfy — dataset provenance (existing → adapted → constructed), clear train / validation / test splits, labels that reflect the target behavior, and the minimum data amount. Use whenever an…

Autonomous research review loop that consumes /auto-verify's four-state output (PASS / FAIL / INCONCLUSIVE / ZERO_ELIGIBLE_VARIANTS / deferred) and routes each claim to the right back-edge — brief audit, two-phase FAIL handling (variant-integrity fix then…

Autonomous pipeline: claim → experiment (mechanism routing folded in) → verify → iteration. Each stage is delegated to an isolated agent with its own context window and configurable model. Gates are AUTO_PROCEED-governed; defaults run end-to-end without human…

Workflow 1.75: stress-test claims (regardless of main-experiment verdict) by swapping method, dataset, and model, then judging whether each variant agrees with the main experiment. Three stages with two integrity gates: Stage 1 audits the main experiment's…

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, routes mechanism family inline (Phase 1.5), implements experiment code, deploys to GPU, and collects initial results. Use when user says "implement experiments",…

Automated pipeline for generating and refining multiple research hypotheses.

Routing entry point for experiment-protocol tips that prevent silent reproducibility / overclaim failures. Use when EXPERIMENT_PLAN.md is about to become runnable code and any of these is in scope: ImageNet / torchvision preprocessing, steering coefficient (α…

Routing entry point for eleven families of mechanistic-interpretability methods that localize *which* internal object (layer, attention head, neuron, SAE feature, weight, or input feature) drives a model's behavior, *how influential* it is, and *what changes*…

Map ResearchClawBench instructions, relevant public-source results, and supplied data into an executable evidence rubric. Use for experiment planning or repair while preserving complete comparisons, method fidelity, and figure semantics.

Recover relevant public papers, methods, comparison matrices, and result artifacts for a ResearchClawBench task with query-level provenance. Use after instruction extraction to resolve consequential protocol gaps without assuming any retrieved paper is the…

Extract instruction requirements and discriminative retrieval anchors for a ResearchClawBench task before literature or data analysis. Use to establish the original task contract and prevent later planning from omitting requested evidence.

Recover readable scientific PDF content with MinerU for the ResearchClawBench adaptation when relevant full text is missing or inadequate. Preserve equations and tables, cache derived text outside supplied inputs, and reuse reliable existing text.

Verify a ResearchClawBench report against original instructions, relevant public-source obligations, executed outputs, and figure semantics. Use after reporting and repairs to detect omitted experiments, weak substitutions, unsupported claims, and…

Run the ResearchClawBench adaptation of AutoSciRub from instruction extraction through public-source grounding, faithful experiments, report verification, and evidence repair. Use for a complete benchmark task or an authorized continuation.

Coordinate the full AutoSciRub workflow for autonomous scientific research tasks. Use when a user wants to turn an underspecified research instruction into an executable rubric, guide research execution, verify a report criterion by criterion, and run…

Verify a scientific report and supporting artifacts against an AutoSciRub executable rubric criterion by criterion. Use after execution has produced a report, code, results, tables, figures, or other artifacts, when Codex needs strict satisfaction labels,…

Use only the current SciAtlas automated review workflow (`review_pipeline`) to take a novice user from zero setup to a final automated review of a research idea or paper, including setup, registration guidance, workflow configuration, retrieval, artifact…

Use only the current SciAtlas multi-step idea-generation workflow (`sciatlas_idea_gen`) to take a novice user from zero setup to final literature-grounded research idea seeds, including setup, registration guidance, workflow configuration, KG retrieval,…

Use only SciAtlas search-papers to take a novice user from zero setup to final prior-art grounding for a research idea, including setup, registration guidance, configuration, retrieval, artifact reading, and synthesis. Trigger when the user gives an idea and…

Use only the current SciAtlas literature-review workflow (`literature_review_pipeline`) to take a novice user from zero setup to a final evidence-grounded survey outline, paper map, or literature review, including setup, registration guidance, workflow…

Use only SciAtlas search-papers to take a novice user from zero setup to a final small evidence-backed paper search result, including setup, registration guidance, configuration, retrieval, artifact reading, and summary. Trigger when the user wants a quick…

Use only SciAtlas search-papers to take a novice user from zero setup to a final evidence-grounded researcher profile from retrieved papers, including setup, registration guidance, configuration, retrieval, artifact reading, and synthesis. Trigger when the…

Use only SciAtlas search-papers to take a novice user from zero setup to a final timeline-oriented research trend report, including setup, registration guidance, configuration, retrieval, artifact reading, and synthesis. Trigger when the user asks for topic…

Construct memory-benchmark cases from persona-specific structured application data, including Queries, evidence, GT, gold answers, scoring, deductions, and scenario-aware safety or proactive behavior. Use when generating or substantially rewriting benchmark…

Audit or repair existing memory-benchmark cases against persona-specific source data and the construction contract. Use for evidence verification, Query/GT/answer alignment, rubric checks, safety calibration, or case-file standardization; do not use merely to…

Construct or extend MobileMem Struct evidence data from a persona/event seed across bill, calendar, document, note, todo, voice, screen, and video sources. Use for evidence-corpus generation or substantial evidence rewrites; exclude image assets and benchmark…

Audit or repair MobileMem Struct evidence data across event, bill, calendar, document, note, todo, voice, screen, and video sources. Use for schema, provenance, temporal, realism, or cross-record consistency checks; exclude image assets and benchmark cases.

An expert Dify workflow builder that designs and generates Dify-importable workflows through multi-round conversation. Produces structured JSON (nodes, edges, variable references) convertible to Dify YAML, with support for incremental add/modify/remove…

A design-only workflow designer for the Dify and Coze platforms. Through multi-round conversation, it produces a structured workflow JSON (nodes, edges, variable references) as text output. The skill itself produces only text and never runs any scripts.

Validation-gated skill evolution from agent failure trajectories (step-level t★, Validator Δ>0). Use when: (1) Agent failed on a task and you have execution trajectories or logs, (2) User asks to evolve, adapt, or improve SKILL.md from failures, (3) Benchmark…

Run SkillAdaptor to evolve agent skills from task failures. Use when improving SKILL.md files from trajectories or after benchmark runs.

Integrate a benchmark into Orbit and size its tasks — write an adapter executable for a benchmark Orbit does not know (any format, no Orbit rebuild), write or update its resources.json (GPU / memory / CPU / timeout per task), and validate it. Use when asked…

Run experiments (training, evaluation, sweeps, any GPU job) in isolated Docker containers with Orbit, and read back their logs, metrics and outputs. Use whenever you would otherwise run a long or GPU job directly on the host, launch several seeds or…