Agent skill

Deep Research

by asgeirtj in asgeirtj/system_prompts_leaks

Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

CC0-1.0Auto-check passedResearch & Science

Install Deep Research

skills CLI
$ npx skills add asgeirtj/system_prompts_leaks --skill deep-research -a claude-code

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

GitHub CLI
$ gh skill install asgeirtj/system_prompts_leaks deep-research --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/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Anthropic/claude-code/skills/deep-research .claude/skills/deep-research && 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
deep-research
GitHub stars
69k
Token cost
~390 tokens
SKILL.md length
141 words
Files
2 (incl. scripts)
Skills in repo
128
Repo updated
First seen
Licence
CC0-1.0

At a glance

Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

  • Tasks that involve Deep research
  • Runs JavaScript scripts from its folder
  • Tasks that involve Fact-checking and source verification
  • Tasks that involve Web search

What it does

Deep Research is an agent skill from asgeirtj/system_prompts_leaks. Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/workflow-script.js`).

It sits in Research & Science, covering Deep research, Fact-checking and source verification and Web search. The repository describes itself as: Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro… The licence is CC0-1.0.

When your agent uses it

  • Tasks that involve Deep research
  • Tasks that involve Fact-checking and source verification
  • Tasks that involve Web search

Example prompts

  • “/deep-research”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 60d44cc. 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

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    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

Deep Research loads about 390 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~390

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); the scripts in this folder are not scanned.

SKILL.md

The full file from asgeirtj/system_prompts_leaks at commit 60d44cc, republished under its CC0-1.0 licence (© asgeirtj). 141 words, ~390 tokens.

Download SKILL.mdSave it as .claude/skills/deep-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
deep-research
description
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
when_to_use
When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research…
disable-model-invocation
true

Run the "deep-research" workflow.

Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.

Phases:

  • Scope: Decompose question (from args) into 5 search angles
  • Search: 5 parallel WebSearch agents, one per angle
  • Fetch: URL-dedup, fetch top 15 sources, extract falsifiable claims
  • Verify: 3-vote adversarial verification per claim (need 2/3 refutes to kill)
  • Synthesize: Merge semantic dupes, rank by confidence, cite sources

Invoke: Workflow({ name: "deep-research" })

If the user asks you to modify this workflow or write a new script, load the workflow-authoring skill first.

© asgeirtj, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in Anthropic/claude-code/skills/deep-research of asgeirtj/system_prompts_leaks.

  • SKILL.md
  • scripts/workflow-script.js

Open the folder on GitHubat commit 60d44cc

Compare with similar skills

Deep 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.

Deep Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deep Research this skillasgeirtj/system_prompts_leaks69k—~390Automated safety check: PassCC0-1.0
Ray Trend Searchimraywang/rayskills159—~2.1kAutomated safety check: PassCustom licence
Argo Search and Verificationtaxueseek/argo188—~1.2kAutomated safety check: PassMIT
Deep Research Loopmadebyaris/advance-minimax-m3-cursor-rules126—~2.9kAutomated safety check: PassMIT
Multi Source Searchsandbaseai/sandbase-skills203—~1.6kAutomated safety check: PassApache-2.0
Research LookupK-Dense-AI/claude-scientific-writer2.4k2 repos~3.6kAutomated safety check: PassMIT

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  • Ray Trend Search

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Questions about Deep Research

What does Deep Research do?

Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. Deep Research is an agent skill from asgeirtj/system_prompts_leaks. Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

When should I use Deep Research?

Deep Research fits situations like: tasks that involve Deep research; tasks that involve Fact-checking and source verification; tasks that involve Web search.

How do I install Deep Research in Claude Code?

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

How do I install Deep Research in Codex?

Run `npx skills add asgeirtj/system_prompts_leaks --skill deep-research -a codex`. Or copy the skill folder (Anthropic/claude-code/skills/deep-research in asgeirtj/system_prompts_leaks) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.

Can I use Deep 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 asgeirtj/system_prompts_leaks --skill deep-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/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.

What does Deep Research need to run?

Going by SKILL.md and its folder, Deep Research needs JavaScript for the scripts in its folder. Our summary lists: Node.js.

Does Deep 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 Deep 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Deep Research use?

Deep Research is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deep Research use?

About 390 tokens (SKILL.md is roughly 1.6k 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 Deep Research?

Skills that share tags, products or a category with Deep Research: Ray Trend Search (imraywang/rayskills, 159 stars), Argo Search and Verification (taxueseek/argo, 188 stars), Deep Research Loop (madebyaris/advance-minimax-m3-cursor-rules, 126 stars) and Multi Source Search (sandbaseai/sandbase-skills, 203 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deep Research?

asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,280 GitHub stars. The repository holds 128 skills in this directory. The repository was last updated on October 10, 2026.

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