Agent skill

Deep Research Framework

by aiskillstore in aiskillstore/marketplace

Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements.

MITAuto-check passedResearch & Science

Install Deep Research Framework

skills CLI
$ npx skills add aiskillstore/marketplace --skill deep-research-framework -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace deep-research-framework --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alapha888/deep-research-framework .claude/skills/deep-research-framework && 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-framework
GitHub stars
430
Used in
2 other repos
Token cost
~814 tokens
SKILL.md length
347 words
Files
2
Skills in repo
1,108
Repo updated
First seen
Licence
MIT

At a glance

Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements.

  • Works in 5 steps: Define the question: write in one… → Tier your sources (tier before you… → Cross-verify: key conclusions need two… → …
  • The user asks for a research report
  • SKILL.md covers Workflow, Rules, Minimal example (report… and Anti-patterns
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deep Research Framework is an agent skill from aiskillstore/marketplace. Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements. Use when the user asks for a research report, topic investigation, or competitive analysis.

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).

It sits in Research & Science, covering Deep research. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.

When your agent uses it

  • The user asks for a research report
  • Topic investigation
  • Competitive analysis

Example prompts

  • “/deep-research-framework”

Workflow steps

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

  1. Define the question: write in one sentence what the report must answer. Add at most 3 sub-questions. Starting before the question is clear…
  2. Tier your sources (tier before you search, so you don't believe whatever you find first)
  3. Cross-verify: key conclusions need two or more independent sources. Two sources quoting the same origin don't count as independent. If no…
  4. Writing structure (conclusion first)
  5. Timestamps: date every key fact ("as of Sep 2026"). Undated information is treated as "possibly stale" by default.

What it can do on your machine

Read from SKILL.md and the folder at commit ad8daf7. 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 (its code samples are markdown).

    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 Framework loads about 814 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 347 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~814

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 aiskillstore/marketplace at commit ad8daf7, republished under its MIT licence (© aiskillstore). 347 words, ~814 tokens.

Download SKILL.mdSave it as .claude/skills/deep-research-framework/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
deep-research-framework
description
Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements. Use when the user asks for a research report, topic investigation, or competitive analysis.
license
MIT

Deep Research Report Framework

Produce a report whose "conclusions are trustworthy, process is traceable, and the unknowns are explicitly marked." The quality floor of research is set by its sources, not its prose.

Workflow

  1. Define the question: write in one sentence what the report must answer. Add at most 3 sub-questions. Starting before the question is clear guarantees the research will sprawl.
  2. Tier your sources (tier before you search, so you don't believe whatever you find first):
    • Primary: official docs, original papers, original filings, protocol/legal texts, measured data.
    • Secondary: reputable press, industry reports, expert interviews.
    • Tertiary: social-media posts, forum threads, aggregator sites — leads only, never evidence.
  3. Cross-verify: key conclusions need two or more independent sources. Two sources quoting the same origin don't count as independent. If no second source exists, downgrade the conclusion to "single-source claim" and mark it as such.
  4. Writing structure (conclusion first):
    • Opening: 3–5 lines stating the core conclusions.
    • Body: one section per sub-question, each in "conclusion → evidence → sources" order.
    • Closing: uncertainty statement — "what wasn't found, what's speculation, under what conditions the conclusions change."
  5. Timestamps: date every key fact ("as of Sep 2026"). Undated information is treated as "possibly stale" by default.

Rules

  • Mark speculation as speculation. Use "may", "likely", "unverified" — never dress speculation up with "clearly" or "it is well known".
  • No tertiary source supports a core conclusion. A forum thread can point a direction, never serve as evidence.
  • Every number in the report has a source. A number without a source is deleted, not rewritten.
  • State "what you don't know" before "what you know" — honest uncertainty beats pretty certainty.

Minimal example (report outline template)

markdown
# Research Report: <Topic> (example outline)

**Core conclusions** (3–5 lines): …

## 1. Sub-question one
- Conclusion: …
- Evidence: … (source: primary/secondary, as of …)
- Evidence: … (second independent source)

## 2. Sub-question two
…

## Uncertainty statement
- Not found: …
- Single-source claims: … (one source only, pending verification)
- Invalidation conditions: if … changes, conclusion X in this report needs reassessment.

Anti-patterns

  • ❌ Single-source verdicts: one social-media post becomes "research shows".
  • ❌ Speculation as fact: "clearly" and "it is well known" are the most dangerous words in a research report.
  • ❌ Undated facts: 2023 data presented as the current state; the conclusion quietly expires.
  • ❌ Evidence pile with no conclusion: 20 sources listed, and the reader still can't tell what the author believes.
  • ❌ Hiding the unknowns: burying what wasn't found makes the report look omniscient and plants landmines.

© aiskillstore, MIT. 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 in skills/alapha888/deep-research-framework of aiskillstore/marketplace.

  • SKILL.md
  • skill-report.json

Open the folder on GitHubat commit ad8daf7

Used in 2 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Deep Research Framework 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 Framework compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deep Research Framework this skillaiskillstore/marketplace4302 repos~814Automated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
X Researchrohunvora/x-research-skill1.2k1 repos~1.6kAutomated safety check: PassNone
Deep Researchsanjay3290/ai-skills43110 repos~683Automated safety check: NotesApache-2.0
ResearchWeizhena/Deep-Research-skills2.3k3 repos~1.1kAutomated safety check: PassMIT

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Questions about Deep Research Framework

What does Deep Research Framework do?

Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements. Deep Research Framework is an agent skill from aiskillstore/marketplace. Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements.

When should I use Deep Research Framework?

Deep Research Framework fits situations like: the user asks for a research report; topic investigation; competitive analysis.

How do I install Deep Research Framework in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill deep-research-framework -a claude-code`. Or copy the skill folder (skills/alapha888/deep-research-framework in aiskillstore/marketplace) into .claude/skills/deep-research-framework in your project. Claude Code loads it when a task matches its description.

How do I install Deep Research Framework in Codex?

Run `npx skills add aiskillstore/marketplace --skill deep-research-framework -a codex`. Or copy the skill folder (skills/alapha888/deep-research-framework in aiskillstore/marketplace) into .agents/skills/deep-research-framework in your project. Codex loads it when a task matches its description.

Can I use Deep Research Framework 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 aiskillstore/marketplace --skill deep-research-framework -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-framework, .gemini/skills/deep-research-framework, .github/skills/deep-research-framework and .opencode/skills/deep-research-framework in your project.

What does Deep Research Framework need to run?

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

Does Deep Research Framework 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 Framework 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 Deep Research Framework use?

Deep Research Framework 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 Deep Research Framework use?

About 814 tokens (SKILL.md is roughly 3.3k 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 Framework?

Skills that share tags, products or a category with Deep Research Framework: GitHub Deep Research (bytedance/deer-flow, 83k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), X Research (rohunvora/x-research-skill, 1.2k stars) and Deep Research (sanjay3290/ai-skills, 431 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deep Research Framework?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 2026.

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