Rycen7822/DeepScientist-hermes - 2페이지

writing-plans

Write DeepScientist-aware implementation, experiment-roadmap, code-only, and formal-command plans with TDD and durable quest outputs.

원문 언어: 영어

deepscientist-mode

Use Hermes as the native DeepScientist research agent. Load when operating a DeepScientist quest, creating/continuing research state, recording project memory/artifacts, or explaining the plugin workflow.

원문 언어: 영어

alphaxiv-paper-lookup

Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.

원문 언어: 영어

figure-polish

Use when a quest needs a polished milestone chart, paper-facing figure, appendix figure, or a mandatory render-inspect-revise pass before treating a figure as final.

원문 언어: 영어

idea

Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.

원문 언어: 영어

paper-fetch

Use when a DeepScientist quest needs quest-local paper retrieval, arXiv/OpenReview PDF reading, or official resource verification without clipping into llm-wiki.

원문 언어: 영어

paper-reliability-verifier

Verify scholarly-paper reliability for AI-scientist agents by checking citation counts, venue level, journal level, publication type, and retraction/update status.

원문 언어: 영어

acl-anthology-accepted-venue

Use when paper-reliability-verifier needs to infer whether an NLP/CL paper is indexed in ACL Anthology and extract its ACL/EMNLP/NAACL/EACL/AACL/TACL publication venue before local rank lookup.

원문 언어: 영어

dblp-accepted-venue

Use when paper-reliability-verifier needs to infer whether a CS paper is indexed by DBLP as a conference or journal publication before local CCF/CORE/中科院分区/JCR rank lookup.

원문 언어: 영어

openreview-accepted-venue

Use when paper-reliability-verifier needs to verify acceptance and presentation type for OpenReview-hosted venues such as ICLR, TMLR, COLM, or related workshops before local rank lookup.

원문 언어: 영어

strict-research

Strict literature research mode for DeepScientist quests: broad candidate scouting first, reliability verification, conservative filtering, quest-local PDF download, then iterative bibliography reading notes before answering/writing.

원문 언어: 영어

deepscientist-figure-polish

Use when a quest needs a polished milestone chart, paper-facing figure, appendix figure, or a mandatory render-inspect-revise pass before treating a figure as final.

원문 언어: 영어

deepscientist-idea

Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.

원문 언어: 영어

deepscientist-paper-fetch

Use when a DeepScientist quest needs quest-local paper retrieval, arXiv/OpenReview PDF reading, or official resource verification without clipping into llm-wiki.

원문 언어: 영어

deepscientist-paper-reliability-verifier

Verify scholarly-paper reliability for AI-scientist agents by checking citation counts, venue level, journal level, publication type, and retraction/update status.

원문 언어: 영어

deepscientist-strict-research

Strict literature research mode for DeepScientist quests: broad candidate scouting first, reliability verification, conservative filtering, quest-local PDF download, then iterative bibliography reading notes before answering/writing.

원문 언어: 영어

paper-fetch

Use when a DeepScientist quest needs quest-local paper retrieval, arXiv/OpenReview PDF reading, or official resource verification without clipping into llm-wiki.

원문 언어: 영어

paper-reliability-verifier

Verify scholarly-paper reliability for AI-scientist agents by checking citation counts, venue level, journal level, publication type, and retraction/update status.

원문 언어: 영어

acl-anthology-accepted-venue

Use when paper-reliability-verifier needs to infer whether an NLP/CL paper is indexed in ACL Anthology and extract its ACL/EMNLP/NAACL/EACL/AACL/TACL publication venue before local rank lookup.

원문 언어: 영어

dblp-accepted-venue

Use when paper-reliability-verifier needs to infer whether a CS paper is indexed by DBLP as a conference or journal publication before local CCF/CORE/中科院分区/JCR rank lookup.

원문 언어: 영어

openreview-accepted-venue

Use when paper-reliability-verifier needs to verify acceptance and presentation type for OpenReview-hosted venues such as ICLR, TMLR, COLM, or related workshops before local rank lookup.

원문 언어: 영어

strict-research

Strict literature research mode for DeepScientist quests: broad candidate scouting first, reliability verification, conservative filtering, quest-local PDF download, then iterative bibliography reading notes before answering/writing.

원문 언어: 영어

baseline

Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.

원문 언어: 영어

scout

Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.

원문 언어: 영어

write

Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.

원문 언어: 영어

analysis-campaign

Use when a quest needs one or more follow-up runs such as ablations, robustness checks, error analysis, or failure analysis after a main experiment.

원문 언어: 영어

experiment

Use when a quest is ready for a concrete implementation pass or a main experiment run tied to a selected idea and an accepted baseline.

원문 언어: 영어

decision

Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.

원문 언어: 영어

finalize

Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.

원문 언어: 영어

idea

Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.

원문 언어: 영어

intake-audit

Use when a quest does not start from a blank state and the agent must first audit, trust-rank, and reconcile existing baselines, results, drafts, or review materials before choosing the next anchor.

원문 언어: 영어

optimize

Use when an algorithm-first quest should manage candidate briefs, optimization frontier, branch promotion, or fusion-aware search instead of the paper-oriented default loop.

원문 언어: 영어

rebuttal

Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.

원문 언어: 영어