Live Research
brightdata/skills
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content).
[omh] Deep dive before a decision: deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation…
$ npx skills add rlaope/oh-my-hermes --skill ulw-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ulw-research .claude/skills/ulw-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ulw-research" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-research into .claude/skills/ulw-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rlaope/oh-my-hermes --skill ulw-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ulw-research .agents/skills/ulw-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ulw-research" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-research into .agents/skills/ulw-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill ulw-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ulw-research .cursor/skills/ulw-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ulw-research" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-research into .cursor/skills/ulw-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rlaope/oh-my-hermes.git --path skills/ulw-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rlaope/oh-my-hermes --skill ulw-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ulw-research .gemini/skills/ulw-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ulw-research" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-research into .gemini/skills/ulw-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rlaope/oh-my-hermes ulw-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rlaope/oh-my-hermes --skill ulw-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ulw-research .github/skills/ulw-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ulw-research" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-research into .github/skills/ulw-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill ulw-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ulw-research .opencode/skills/ulw-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ulw-research" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-research into .opencode/skills/ulw-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ulw-research[omh] Deep dive before a decision: deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation…
Ulw Research is an agent skill from rlaope/oh-my-hermes. [omh] Deep dive before a decision: deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation discipline, verify contested claims, and distill a decision-grounding dossier that planning consumes; for a decision brief use research-brief, for upstream guidance use web-research. Use when the user says: research plan, literature review, research literature, review recent papers, deep research, deep-research, exhaustive…
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/briefing-format.md`).
It sits in Research & Science, covering Deep research, Literature review and Web search. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.
Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ulw Research loads about 4.2k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 2,205 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 2,205 words, ~4,165 tokens.
.claude/skills/ulw-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This is a Hermes-native research workflow skill.
research exists to make Hermes a careful research engine: it routes research demands to source-backed evidence gathering - from live web citations to studied reference implementations - verifies contested claims, and distills decision-grounding output so planning starts from evidence instead of guesses.
ultrawork (its delivery_boundary capability) or a planning workflow after research instead.codebase-onboarding.source-finder.research-brief.research-department.web-research.Good example:
Bad example:
codebase-onboarding because the study target is this repository, not external sources or reference implementations.blocked-page-recovery skill once for that source when it is available and never retry the same URL in a loop; cite an archive or cached copy it returns as a dated historical capture, never as the live page. If the skill is unavailable, recovery fails, the retrieval budget is spent, or the source needs a login or payment, name the retrieval gap with that reason. Record each blocked source as one research_source_recovery/v1.product-docs, source-finder, web-research, research, model-optimization, inference-serving, model-finetuning, research-brief, +20 more) - research, signals, ops, and briefings.oh-my-hermes or name the adjacent workflow.omh-routing/references/skill-common-rail.md.Use for research before planning, deciding, or handoff - from current web evidence and citations to exhaustive grounding with studied reference implementations and verified contested claims.
Strong routing signals: `research plan`, `literature review`, `research literature`, `review recent papers`, `deep research`, `deep-research`, `exhaustive research`, `saturation research`, `pre-spec research`, `research before spec`, `research before planning`, `reference implementation`, `reference implementations`, `reference implementation study`, `prior art`, `prior art research`, `study existing implementations`, `comparable implementations`, `compare open source implementations`, `decision-grounding research`, `autoresearch-goal`, `research goal`, `durable research`, `critic research`, `ディープリサーチ`, `深く調査`, `出典付きで調査`, `OSS実装を調査`, `조사`, `근거`, `고객 피드백`, `문헌 검토`, `논문들 검토`, `딥리서치`, `딥 리서치`, `심층 리서치`, `레퍼런스 구현`, `오픈소스 깊게 참고`, `深度调研`, `深入调研`, `带出处的调研`, `调研开源实现`Category: research
Phase: decision-grounding
Hermes role: researcher
Quality tier: source-gated
Reasoning demand: standard
Quality bar:
references/briefing-format.md - noun-phrase titles carrying a role label from its closed vocabulary, cause before effect, terms defined at first use, figures drawn in code blocks, and the fixed chapter-and-appendix structure.Handoff policy:
Run as a Hermes-side research lane when web or repository access is available; Hermes and its delegated readers study sources, distill evidence or the dossier before any planning or coding handoff, and never treat research as implementation.
Required inputs:
Expected outputs:
Artifact expectations:
Safety rules:
Preferred harness for this skill: research.
omh runtime record --skill research --harness research --status startedRecord observed delegation results; otherwise return not_available or not_observed.
Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.
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: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.
© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/ulw-research of rlaope/oh-my-hermes.
Open the folder on GitHubat commit 7cd0d02
Ulw Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ulw Research this skillrlaope/oh-my-hermes | 3.2k | — | ~4.2k | Automated safety check: Pass | MIT | |
| Live Researchbrightdata/skills | 264 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Academic Research Suite for CodexImbad0202/academic-research-skills-codex | 12k | — | ~12k | Automated safety check: Pass | Custom licence | |
| Literature Review AgentAr9av/PaperOrchestra | 679 | 1 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Bmad Deep Recondelorenj/mcp-server-trello | 445 | — | ~2.3k | Automated safety check: Pass | MIT |
brightdata/skills
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content).
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
delorenj/mcp-server-trello
Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…
HKUSTDial/Supervisor-Skills
Runs a survey-grade literature investigation: fixes the research questions, searches from adversarial angles, verifies citations and writes an evidence-first report.
rlaope/oh-my-hermes
[omh] Screen-reader or keyboard accessibility gaps: prepare WCAG, keyboard, focus, screen-reader, target-size, and reflow evidence gates for UI surfaces.
rlaope/oh-my-hermes
[omh] Choosing between coding agents on evidence: compare executor or agent choices on reproducible tasks using quality, cost, time, tool, and evidence metrics.
rlaope/oh-my-hermes
[omh] Agent instruction file for a repo -- AGENTS.md, CLAUDE.md, a Cursor rule: write or update what an agent cannot derive from the code, inside a marked region, with every command verified or…
rlaope/oh-my-hermes
[omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers.
rlaope/oh-my-hermes
[omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical.
rlaope/oh-my-hermes
[omh] Application code misbehaves -- a wrong value, a flaky test, a lost update: reproduce it first, form competing hypotheses, discriminate them with the cheapest observation, and only then fix the…
Categories
[omh] Deep dive before a decision: deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation…. Ulw Research is an agent skill from rlaope/oh-my-hermes. [omh] Deep dive before a decision: deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation discipline, verify contested claims, and distill a decision-grounding dossier that planning consumes; for a decision brief use research-brief, for upstream guidance use web-research.
Ulw Research fits situations like: the user says: research plan; literature review; research literature; review recent papers.
Run `npx skills add rlaope/oh-my-hermes --skill ulw-research -a claude-code`. Or copy the skill folder (skills/ulw-research in rlaope/oh-my-hermes) into .claude/skills/ulw-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rlaope/oh-my-hermes --skill ulw-research -a codex`. Or copy the skill folder (skills/ulw-research in rlaope/oh-my-hermes) into .agents/skills/ulw-research in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill ulw-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ulw-research, .gemini/skills/ulw-research, .github/skills/ulw-research and .opencode/skills/ulw-research in your project.
SKILL.md names no scripts, command-line tools or credentials: Ulw Research is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ulw Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ulw Research: Live Research (brightdata/skills, 264 stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,243 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 10, 2026.
Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.