Deep Research
jordan-gibbs/hyperresearch
Deep research with hyperresearch, for Claude Code and OpenAI Codex.
Run a mixture-of-agents style deep research workflow — decompose a question, fan out parallel searches, cross-verify claims across independent sources, and deliver a fully cited report.
Install Super Research
$ npx skills add breakstageaxe61/genspark-claw --skill super-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install breakstageaxe61/genspark-claw super-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/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/super-research .claude/skills/super-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 "super-research" agent skill from https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/super-research into .claude/skills/super-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-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/breakstageaxe61/genspark-claw/tree/main/skills/super-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 breakstageaxe61/genspark-claw --skill super-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install breakstageaxe61/genspark-claw super-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/super-research .agents/skills/super-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 "super-research" agent skill from https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/super-research into .agents/skills/super-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-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 breakstageaxe61/genspark-claw --skill super-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install breakstageaxe61/genspark-claw super-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/super-research .cursor/skills/super-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 "super-research" agent skill from https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/super-research into .cursor/skills/super-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-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/breakstageaxe61/genspark-claw.git --path skills/super-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 breakstageaxe61/genspark-claw --skill super-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install breakstageaxe61/genspark-claw super-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/super-research .gemini/skills/super-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 "super-research" agent skill from https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/super-research into .gemini/skills/super-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-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 breakstageaxe61/genspark-claw super-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 breakstageaxe61/genspark-claw --skill super-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/super-research .github/skills/super-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 "super-research" agent skill from https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/super-research into .github/skills/super-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-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 breakstageaxe61/genspark-claw --skill super-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 breakstageaxe61/genspark-claw super-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/super-research .opencode/skills/super-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 "super-research" agent skill from https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/super-research into .opencode/skills/super-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "super-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.
Facts
- Skill name
super-research- GitHub stars
- 159
- Token cost
- ~892 tokens
- SKILL.md length
- 399 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run a mixture-of-agents style deep research workflow — decompose a question, fan out parallel searches, cross-verify claims across independent sources, and deliver a fully cited report.
- Works in 7 steps: Frame the question. Restate the user's… → Plan the fan-out. For each sub-question,… → Search in parallel waves. Issue… → …
- Tasks that involve Deep research
- SKILL.md covers Context, Instructions, Error Handling and Rules, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Super Research is an agent skill from breakstageaxe61/genspark-claw. Run a mixture-of-agents style deep research workflow — decompose a question, fan out parallel searches, cross-verify claims across independent sources, and deliver a fully cited report.
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: ["genspark-claw","openclaw","hermes","claude-code","cursor"]
It sits in Research & Science, covering Deep research and Fact-checking and source verification. It works with Model Context Protocol. The repository describes itself as: 🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call…. The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
- Tasks that involve Fact-checking and source verification
Example prompts
- “/super-research”
Requirements
- Compatibility (from SKILL.md): ["genspark-claw","openclaw","hermes","claude-code","cursor"]
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Frame the question. Restate the user's request as one primary question
- Plan the fan-out. For each sub-question, write 2–3 diverse search
- Search in parallel waves. Issue independent searches together rather
- Open and read sources. Never cite a page you only saw as a snippet.
- Cross-verify. Any number, date, or strong claim needs two independent
- Synthesize. Write the report in the structure below. Lead with the
- Cite inline. Attach the source immediately after each claim. Group
What it can do on your machine
Read from SKILL.md and the folder at commit 2ef198c. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
["genspark-claw","openclaw","hermes","claude-code","cursor"]
From compatibility in the SKILL.md frontmatter.
Context cost
Super Research loads about 892 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 399 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from breakstageaxe61/genspark-claw at commit 2ef198c, republished under its MIT licence (© breakstageaxe61). 399 words, ~892 tokens.
Download SKILL.mdSave it as
.claude/skills/super-research/SKILL.md (or your agent's skills folder).- name
- super-research
- description
- Run a mixture-of-agents style deep research workflow — decompose a question, fan out parallel searches, cross-verify claims across independent sources, and deliver a fully cited report.
- compatibility
- ["genspark-claw","openclaw","hermes","claude-code","cursor"]
- version
- 1.0.0
- license
- MIT
- triggers
- research, deep dive, investigate, compare options, what is the state of, find out everything about
- metadata.category
- research
- metadata.author
- breakstageaxe61
Super Research
You are a meticulous research lead running a small team of specialist analysts. Your job is to turn one open-ended question into a verified, cited, decision-ready report — not a summary of the first page of search results.
Context
The user wants an answer they can act on and defend. Depth beats speed. Every factual claim in the final report must trace back to a source you actually opened, not a search snippet.
Instructions
- Frame the question. Restate the user's request as one primary question plus 3–7 sub-questions. If the request is ambiguous (market? region? date range? depth?), ask one round of clarifying questions before searching.
- Plan the fan-out. For each sub-question, write 2–3 diverse search queries. Vary phrasing, include the current year for time-sensitive topics, and include at least one query aimed at primary sources (official docs, filings, standards bodies, original papers).
- Search in parallel waves. Issue independent searches together rather than one at a time. After each wave, note what is confirmed, what conflicts, and what is still unknown, then plan the next wave to close the gaps.
- Open and read sources. Never cite a page you only saw as a snippet. Prefer primary and high-authority sources. Record for each source: title, publisher, date, and the exact passage supporting the claim.
- Cross-verify. Any number, date, or strong claim needs two independent sources, or one primary source. When sources conflict, present both figures with their dates and explain the likely reason for the discrepancy.
- Synthesize. Write the report in the structure below. Lead with the answer, not the process. Flag uncertainty explicitly instead of smoothing it over.
- Cite inline. Attach the source immediately after each claim. Group nothing at the end. A reader must be able to check any sentence in one click.
Show full SKILL.md (97 more words)Show less
Error Handling
- If a source is paywalled or unreachable, say so and find an alternative; do not quote it secondhand without labeling it as secondhand.
- If the topic is fast-moving (prices, releases, "latest"), state the as-of date of your information prominently.
- If after three search waves a sub-question is still unanswered, report it as an open question rather than guessing.
Rules
- Never fabricate a source, URL, statistic, or quote.
- Never present a single-source claim as settled fact.
- Do not copy-paste long passages; paraphrase and cite.
- Keep the user's locale and units consistent throughout the report.
Output Format
# <Topic> — Research Report (as of <date>)
## TL;DR
3–5 bullet answer to the primary question.
## Findings
### <Sub-question 1>
Claim-by-claim findings with inline citations.
## Conflicts & Caveats
Where sources disagree and why.
## Open Questions
What could not be verified.
## Sources
Numbered list of every source opened, with publisher and date.© breakstageaxe61, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/super-research of breakstageaxe61/genspark-claw.
Open the folder on GitHubat commit 2ef198c
Compare with similar skills
Super 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 |
|---|---|---|---|---|---|---|
| Super Research this skillbreakstageaxe61/genspark-claw | 159 | — | ~892 | Automated safety check: Pass | MIT | |
| Deep Researchjordan-gibbs/hyperresearch | 3.8k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Workflow PatternsQuintinShaw/pi-dynamic-workflows | 555 | — | ~827 | Automated safety check: Pass | MIT | |
| Rival Search MCPdamionrashford/RivalSearchMCP | 132 | — | ~796 | Automated safety check: Pass | MIT | |
| Net Deep Researchh4444433333/net-deep-research | 123 | — | ~3.3k | Automated safety check: Pass | MIT |
Similar skills
Deep Research Agent Team
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
Workflow Patterns
QuintinShaw/pi-dynamic-workflows
Argument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without…
Rival Search MCP
damionrashford/RivalSearchMCP
Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.
Net Deep Research
h4444433333/net-deep-research
Runs cross-source web research to verify whether an online claim is true, distinguishing confirmed facts from rumor, marketing claims or stale information.
Architect Research
DanMcInerney/architect-loop
A skill your agent uses when the user asks for discovery-scale research that informs a decision: brainstorming a project or feature, choosing a technology, or requests like "research X", "what's the…
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Works with
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Questions about Super Research
What does Super Research do?
Run a mixture-of-agents style deep research workflow — decompose a question, fan out parallel searches, cross-verify claims across independent sources, and deliver a fully cited report. Super Research is an agent skill from breakstageaxe61/genspark-claw. Run a mixture-of-agents style deep research workflow — decompose a question, fan out parallel searches, cross-verify claims across independent sources, and deliver a fully cited report.
When should I use Super Research?
Super Research fits situations like: tasks that involve Deep research; tasks that involve Fact-checking and source verification.
How do I install Super Research in Claude Code?
Run `npx skills add breakstageaxe61/genspark-claw --skill super-research -a claude-code`. Or copy the skill folder (skills/super-research in breakstageaxe61/genspark-claw) into .claude/skills/super-research in your project. Claude Code loads it when a task matches its description.
How do I install Super Research in Codex?
Run `npx skills add breakstageaxe61/genspark-claw --skill super-research -a codex`. Or copy the skill folder (skills/super-research in breakstageaxe61/genspark-claw) into .agents/skills/super-research in your project. Codex loads it when a task matches its description.
Can I use Super Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add breakstageaxe61/genspark-claw --skill super-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/super-research, .gemini/skills/super-research, .github/skills/super-research and .opencode/skills/super-research in your project.
What does Super Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Super Research is instructions for the agent only. Compatibility (from SKILL.md): ["genspark-claw","openclaw","hermes","claude-code","cursor"].
Does Super Research access the network?
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.
Is Super Research safe to install?
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.
What licence does Super Research use?
Super Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Super Research use?
About 892 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Super Research?
Skills that share tags, products or a category with Super Research: Deep Research (jordan-gibbs/hyperresearch, 3.8k stars), Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars), Workflow Patterns (QuintinShaw/pi-dynamic-workflows, 555 stars) and Rival Search MCP (damionrashford/RivalSearchMCP, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Super Research?
breakstageaxe61 (a GitHub user) maintains it in breakstageaxe61/genspark-claw, which has 159 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 26, 2026.
Source: breakstageaxe61/genspark-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.