본문으로 건너뛰기
cccskills
무료GitHub에 공개

omh-source-finder

Organize candidate papers, datasets, repositories, and other sources before deeper research. Track which links, downloads, extractions, and checks have actually been observed, identify remaining gaps, and recommend the next workflow for using the selected material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

[omh] Gathering candidate papers, datasets, or repos: source candidate inventory - prepare typed source candidates and acquisition status before downstream work; use ulw-research to fetch and cite them, or research-brief to turn them into a decision-ready brief. Use when the user says: source-finder, source finder, source acquisition, source intake, find papers and datasets, find datasets and repos, find papers, find arxiv link.

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Organizing papers, datasets, and code for benchmark evaluation
  • Tracking source download and verification status
  • Choosing the next workflow for selected sources

포함된 파일(4)

  • SKILL.md9.3 KB
  • references/search-examples.md25.7 KB
  • references/search-fields.md24.8 KB
  • references/search-method.md8.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Source Finder

This is a Hermes-native source-finder workflow skill.

Why This Exists

source-finder exists so Hermes can turn vague source discovery requests into typed candidates, acquisition status, and downstream workflow choice without pretending OMH searched, downloaded, or verified the material.

First Steps

  • Discover the current search/read tools and authorized scope, then follow references/search-method.md: plan -> actual host search/read -> merge -> assess -> bounded retry. Use omh_search only when available; otherwise report the skill-only fallback. Keep direct file lookups direct.

Do Not Use When

  • The requested output is factual findings, comparison, or a summary rather than a typed candidate inventory and acquisition status; use ulw-research.
  • The user needs a business decision brief with evidence-versus-inference treatment; use omh-research-brief.
  • The user asks for current citations, fact-finding, or source-backed synthesis; use ulw-research.
  • The user supplies a paper/PDF/arXiv/DOI/excerpt and wants explanation; use omh-paper-learning.
  • The user asks for recurring monitoring, source inbox, or Scout/Analyst/Briefer operations; use omh-research-department.
  • The user asks to export, convert, render, package, or attach a file; use omh-materials-package or omh-deliverable-package.
  • The user asks for an image card or visual summary; use omh-image-cards.

Examples

Good example:

  • Prompt: source-finder find papers, datasets, and GitHub repos for evaluating browser agent benchmarks.
  • Expected behavior: Prepare source_finder_plan/v1 with typed candidates, acquisition states, missing observed evidence, and downstream choices.
  • Why: The user needs source candidates before deciding whether to learn, research, package, or implement.

Bad example:

  • Prompt: source-finder find current citations and summarize what the sources say.
  • Expected behavior: Route to research because the user asks for current evidence and synthesis, not candidate acquisition status.
  • Why: Source-finder prepares acquisition lifecycle metadata; research owns current evidence synthesis.

Completion Checklist

  • Source kinds, source boundaries, and downstream intent are named.
  • Each candidate has a source_candidate/v1 shape and acquisition state.
  • Observed states include provenance before being treated as evidence.
  • The next downstream workflow is recommended without claiming it ran.
  • Search, download, clone, extraction, hash, license, verification, and downstream processing gaps are explicit.

Recovery Notes

  • If the user asks for facts or citations, route to research.
  • If a candidate lacks a link or file reference, keep it candidate_prepared and ask for the next observable source step.
  • If the user wants to process a selected source, route to the downstream workflow instead of continuing source acquisition.

Workflow Lane

  • Current lane: Research and company ops (product-docs, source-finder, web-research, research, model-optimization, inference-serving, model-finetuning, research-brief, +26 more) - research, signals, ops, and briefings.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: skill_view(name='omh-routing', file_path='references/skill-common-rail.md').

When to Use

Use when the requested output is a typed source candidate inventory and acquisition status across papers, web links, datasets, GitHub repositories, public presentations, docs/specs, or unknown source material before choosing paper-learning, research, research-brief, research-department, materials-package, or an ultrawork delivery cycle.

Strong routing signals: `source-finder`, `source finder`, `source acquisition`, `source intake`, `find papers and datasets`, `find datasets and repos`, `find papers`, `find arxiv link`, `find arxiv paper`, `find datasets`, `find github repos`, `find oss repos`, `find presentations`, `find public slides`, `find docs and specs`, `find source candidates`, `download candidate`, `source candidate`, `acquisition status`, `자료 후보`, `출처 후보`, `arxiv 링크`, `arxiv 링크 찾아`, `논문 데이터셋 찾아`, `깃허브 저장소 찾아`, `공개 발표자료 찾아`, `문서 스펙 찾아`

Catalog Metadata

Category: research Phase: source-acquisition Hermes role: researcher Quality tier: source-acquisition-gated Reasoning demand: standard

Quality bar:

  • Name source kinds from: paper, web_link, dataset, github_repo, presentation, docs_spec, unknown.
  • Record acquisition state from: candidate_prepared, link_observed, download_link_prepared, download_observed, file_hash_recorded, text_extraction_observed, license_checked, verification_observed, downstream_selected.
  • Separate candidate preparation, observed link, observed download, file hash, text extraction, license check, verification, and downstream selection.
  • Attach observation provenance before treating any acquisition state as evidence.
  • For paper candidates, when Hermes' bundled arxiv skill is available, search through it - by topic, author, category, or paper id - and record each entry it returns as link_observed with hermes_tool provenance. A search result is an observed link and nothing more: download, text extraction, and verification stay unclaimed until their own run is observed. Without the skill, a paper candidate stays candidate_prepared until a link is observed another way.
  • Vary search angles across official docs, academic work, implementations, datasets, and criticism until each requested source kind has candidates or another angle change adds nothing new.
  • Recommend the next downstream workflow without pretending that downstream work already ran.

Handoff policy:

Keep source acquisition planning in Hermes. Do not claim search, download, clone, extraction, license check, verification, or downstream processing unless a wrapper or user records observed evidence.

Required inputs:

  • source target or topic
  • desired source kinds
  • source boundaries or exclusion criteria
  • downstream intent when known

Expected outputs:

  • source_finder_plan/v1
  • source_candidate/v1
  • source_candidate_set/v1
  • source_acquisition_status/v1
  • downstream workflow recommendation
  • not-evidence boundary

Artifact expectations:

  • source_finder_plan/v1 under .omh/source-finder when a wrapper or CLI records it

Safety rules:

  • Do not claim web search, download, repository clone, file extraction, file hash verification, license verification, or source correctness from a prepared candidate.
  • Do not redefine research-department's source_inbox/v1; source-finder owns source_candidate_set/v1 and source_acquisition_status/v1 only.
  • Route current citations and source-backed synthesis to research, supplied-paper explanation to paper-learning, recurring monitoring to research-department, file export to materials-package, and image cards to img-summary.

Runtime Evidence

Preferred harness for this skill: source-finder.

omh runtime record --skill source-finder --harness source-finder --status started

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a real unresolved user decision or a useful briefing discussion remains, offer one specific, content-linked question. Completed work needs no question; omit unrelated non-action footers and generic offers to continue.

Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.

Shared product, compatibility, topology, memory, harness, and execution rules: skill_view(name='omh-routing', file_path='references/skill-common-rail.md'). Load it when applicable; otherwise name an unavailable capability.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

dag-ulw

무료

Coordinate a large job by splitting it into small tasks with explicit dependencies. Run ready tasks in parallel through Hermes, verify the combined result separately, and repair failures within defined limits before reporting completed work and remaining gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Delivering a feature across multiple modules
  • Coordinating a migration with ordered steps
  • Managing a broad cleanup across separate work areas
rlaope/oh-my-hermes3.6천2026년 10월 23일 업데이트

Guide the addition of a new model generation to oh-my-hermes. The workflow checks model recognition, official specifications, routing rules that select models for tasks, documented pricing, and live access, then validates changes with tests and comparative benchmarks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Add a new model generation to oh-my-hermes
  • Check API model IDs and dated snapshot recognition
  • Update model selection chains and related documentation
rlaope/oh-my-hermes3.6천2026년 10월 23일 업데이트

Prepare an accessibility audit for an interface using WCAG 2.2 AA, an accessibility standard. Organize evidence for keyboard use, screen readers, contrast, target size, and zoom behavior, then document findings, missing checks, and remediation handoffs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing checkout accessibility against WCAG 2.2 AA
  • Checking keyboard access and focus order
  • Organizing screen-reader labels and announcement evidence
rlaope/oh-my-hermes3.6천2026년 10월 23일 업데이트

Summarize earned badges, recent unlocks, achievement tiers, and progress using local files from the hermes-achievements plugin. Prepare a badge list or report section while making missing information and the limits of the recorded snapshot clear.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking earned badges
  • Reviewing recently unlocked achievements
  • Finding progress toward the next achievement tier
rlaope/oh-my-hermes3.6천2026년 10월 23일 업데이트

Examine a technical proposal through independent perspectives, challenge their findings, and resolve objections. The result is a structured set of constraints, decisions, risks, and open questions for a separate planning workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing a technical proposal before planning
  • Challenging assumptions behind a migration
  • Organizing risks and unresolved questions
rlaope/oh-my-hermes3.6천2026년 10월 23일 업데이트

Coordinate multiple Hermes agents or profiles through a shared task board. Organize assignments, handoffs, activity updates, blockers, and completion states, while distinguishing planned actions from work supported by observed results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Coordinate agent roles for a launch checklist
  • Track task handoffs and blockers
  • Prepare work for pickup across profiles or after a restart
rlaope/oh-my-hermes3.6천2026년 10월 23일 업데이트

rlaope의 스킬 모두 보기

이 스킬의 문제 신고