Agent skill

Research Workflow

by spytensor in spytensor/openmozi

Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations.

MITAuto-check passedResearch & Science

Install Research Workflow

skills CLI
$ npx skills add spytensor/openmozi --skill research-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install spytensor/openmozi research-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/spytensor/openmozi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-workflow .claude/skills/research-workflow && rm -rf skills-src

Use ~/.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/

Facts

Skill name
research-workflow
GitHub stars
448
Token cost
~594 tokens
SKILL.md length
276 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations.

  • Works in 5 steps: Decompose: Break the question into 2-5… → Search: Use web_search for each… → Cross-verify: Check claims from multiple… → …
  • The user asks to research
  • SKILL.md covers How to Execute, Rules, Freshness Self-Check… and Pitfalls
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Workflow is an agent skill from spytensor/openmozi. Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations. Use when the user asks to research, investigate, compare, or survey a topic, or when an answer depends on facts that must be verified across multiple sources.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Citation management. The repository describes itself as: A custom Agent OS built to be hackable, heavily inspired by OpenClaw. The licence is MIT.

When your agent uses it

  • The user asks to research
  • An answer depends on facts that must be verified across multiple sources

Example prompts

  • “/research-workflow”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Decompose: Break the question into 2-5 sub-questions that can be researched independently.
  2. Search: Use web_search for each sub-question. Parallelize independent searches.
  3. Cross-verify: Check claims from multiple sources. Flag conflicting information.
  4. Synthesize: Combine findings into a structured answer with citations.
  5. Qualify: State confidence level and note gaps in available information.

What it can do on your machine

Read from SKILL.md and the folder at commit ac46df0. 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.

Context cost

Research Workflow loads about 594 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 276 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~594

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 spytensor/openmozi at commit ac46df0, republished under its MIT licence (© spytensor). 276 words, ~594 tokens.

Download SKILL.mdSave it as .claude/skills/research-workflow/SKILL.md (or your agent's skills folder).
name
research-workflow
description
Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations. Use when the user asks to research, investigate, compare, or survey a topic, or when an answer depends on facts that must be verified across multiple sources.
version
1.0.0
category
research
user-invocable
true
metadata.priority
60

Research Workflow

How to Execute

  1. Decompose: Break the question into 2-5 sub-questions that can be researched independently.
  2. Search: Use web_search for each sub-question. Parallelize independent searches.
  3. Cross-verify: Check claims from multiple sources. Flag conflicting information.
  4. Synthesize: Combine findings into a structured answer with citations.
  5. Qualify: State confidence level and note gaps in available information.

Rules

  • Never rely on training data alone for factual claims — always verify with web_search.
  • Prefer primary sources (official docs, papers, announcements) over secondary ones.
  • When sources conflict, present both sides and explain the discrepancy.
  • Include dates for time-sensitive information.
  • Clearly separate facts from your analysis or interpretation.

Freshness Self-Check (mandatory when the request says "latest", "recent", "最新", "近期", or implies now)

  1. Anchor: read the current date from the runtime time facts — that is "now", not your training data.
  2. Query with recency: include the current year (and month if relevant) in search queries; prefer provider recency filters when available.
  3. Date every source: extract each result's publication date. A result without a discoverable date is weak evidence for a "latest" claim.
  4. Compare before claiming: if the newest source you found is older than the request implies (e.g. a year-old report for a "latest report" request), say so explicitly — "the newest I could verify is X from <date>" — instead of presenting it as current.
  5. If search is unavailable or returns nothing recent, state plainly what you could not verify. Never fill the gap from training data without labeling it as such.

Pitfalls

  • Presenting training data as verified fact
  • Citing a single source without cross-checking
  • Omitting publication dates on time-sensitive topics
  • Mixing opinion with established fact

© spytensor, 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/research-workflow of spytensor/openmozi.

Open the folder on GitHubat commit ac46df0

Compare with similar skills

Research Workflow 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.

Research Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Workflow this skillspytensor/openmozi448—~594Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
NetworkxzLanqing/codex-claude-academic-skills4.6k16 repos~3.2kAutomated safety check: PassBSD-3-Clause
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k3 repos~1.9kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12621 repos~5.9kAutomated safety check: NotesMIT

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Questions about Research Workflow

What does Research Workflow do?

Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations. Research Workflow is an agent skill from spytensor/openmozi. Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations.

When should I use Research Workflow?

Research Workflow fits situations like: the user asks to research; an answer depends on facts that must be verified across multiple sources.

How do I install Research Workflow in Claude Code?

Run `npx skills add spytensor/openmozi --skill research-workflow -a claude-code`. Or copy the skill folder (skills/research-workflow in spytensor/openmozi) into .claude/skills/research-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Research Workflow in Codex?

Run `npx skills add spytensor/openmozi --skill research-workflow -a codex`. Or copy the skill folder (skills/research-workflow in spytensor/openmozi) into .agents/skills/research-workflow in your project. Codex loads it when a task matches its description.

Can I use Research Workflow 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 spytensor/openmozi --skill research-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-workflow, .gemini/skills/research-workflow, .github/skills/research-workflow and .opencode/skills/research-workflow in your project.

What does Research Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Workflow is instructions for the agent only.

Does Research Workflow 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 Research Workflow 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 Research Workflow use?

Research Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Workflow use?

About 594 tokens (SKILL.md is roughly 2.4k 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 Research Workflow?

Skills that share tags, products or a category with Research Workflow: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.6k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Workflow?

spytensor (a GitHub user) maintains it in spytensor/openmozi, which has 448 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 7, 2026.

Source: spytensor/openmozi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.