Agent skill

Subagent Driven Review

by wentorai in wentorai/Research-Claw

Use parallel subagents to scale large reviews, with an honest model of where the speedup actually comes from (LLM reasoning, not API throughput)

Custom licenceAuto-check passedAgent Workflows

Install Subagent Driven Review

skills CLI
$ npx skills add wentorai/Research-Claw --skill subagent-driven-review -a claude-code

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

GitHub CLI
$ gh skill install wentorai/Research-Claw subagent-driven-review --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/wentorai/Research-Claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/subagent-driven-review .claude/skills/subagent-driven-review && 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
subagent-driven-review
GitHub stars
858
Token cost
~3k tokens
SKILL.md length
1,069 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
Custom licence

At a glance

Use parallel subagents to scale large reviews, with an honest model of where the speedup actually comes from (LLM reasoning, not API throughput)

  • Works in 4 steps: Parallel Scoring (most common) → Deep Dive on Priority Papers → Citation Network Exploration → …
  • Tasks that involve Subagents
  • SKILL.md covers Overview, What subagents do NOT speed…, When to Use and Use Cases, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Subagent Driven Review is an agent skill from wentorai/Research-Claw. Use parallel subagents to scale large reviews, with an honest model of where the speedup actually comes from (LLM reasoning, not API throughput)

Its SKILL.md is about 3k 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 Agent Workflows, covering Subagents. The repository describes itself as: In the AI era, why can't everyone be a Principal Investigator?

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/subagent-driven-review”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Parallel Scoring (most common)
  2. Deep Dive on Priority Papers
  3. Citation Network Exploration
  4. Domain-Specific Extraction

What it can do on your machine

Read from SKILL.md and the folder at commit 5015be7. 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 json).

    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

Subagent Driven Review loads about 3k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 1,069 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,069 words (~2,979 tokens).

“Core principle: Fresh subagent per batch + consolidation between batches = parallel reasoning with quality control.”

— opening of SKILL.md by wentorai, Custom licence
name
subagent-driven-review
when_to_use
Large literature searches (50+ papers), parallel paper screening, deep dive analysis on multiple papers, citation network exploration, when main context is…
version
2.0.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/subagent-driven-review of wentorai/Research-Claw.

Open the folder on GitHubat commit 5015be7

Compare with similar skills

Subagent Driven Review 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.

Subagent Driven Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Subagent Driven Review this skillwentorai/Research-Claw858—~3kAutomated safety check: PassCustom licence
Synthesisyologdev/yoyo-evolve1.9k—~3.1kAutomated safety check: PassMIT
Web ResearchJuncai22/spring-ai-agent-learning1232 repos~1.1kAutomated safety check: PassApache-2.0
Deep Researchasgeirtj/system_prompts_leaks69k—~3.3kAutomated safety check: PassCC0-1.0
Verify Openspec Docsgoern/forgejo-mcp1411 repos~1.1kAutomated safety check: PassGPL-3.0
Deep Research312362115/claude107—~6.6kAutomated safety check: PassMIT

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Questions about Subagent Driven Review

What does Subagent Driven Review do?

Use parallel subagents to scale large reviews, with an honest model of where the speedup actually comes from (LLM reasoning, not API throughput). Subagent Driven Review is an agent skill from wentorai/Research-Claw.

When should I use Subagent Driven Review?

Subagent Driven Review fits situations like: tasks that involve Subagents.

How do I install Subagent Driven Review in Claude Code?

Run `npx skills add wentorai/Research-Claw --skill subagent-driven-review -a claude-code`. Or copy the skill folder (skills/subagent-driven-review in wentorai/Research-Claw) into .claude/skills/subagent-driven-review in your project. Claude Code loads it when a task matches its description.

How do I install Subagent Driven Review in Codex?

Run `npx skills add wentorai/Research-Claw --skill subagent-driven-review -a codex`. Or copy the skill folder (skills/subagent-driven-review in wentorai/Research-Claw) into .agents/skills/subagent-driven-review in your project. Codex loads it when a task matches its description.

Can I use Subagent Driven Review 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 wentorai/Research-Claw --skill subagent-driven-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/subagent-driven-review, .gemini/skills/subagent-driven-review, .github/skills/subagent-driven-review and .opencode/skills/subagent-driven-review in your project.

What does Subagent Driven Review need to run?

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

Does Subagent Driven Review 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 Subagent Driven Review 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 Subagent Driven Review use?

Subagent Driven Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Subagent Driven Review use?

About 3k tokens (SKILL.md is roughly 12k 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 Subagent Driven Review?

Skills that share tags, products or a category with Subagent Driven Review: Synthesis (yologdev/yoyo-evolve, 1.9k stars), Web Research (Juncai22/spring-ai-agent-learning, 123 stars), Deep Research (asgeirtj/system_prompts_leaks, 69k stars) and Verify Openspec Docs (goern/forgejo-mcp, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Subagent Driven Review?

wentorai (a GitHub user) maintains it in wentorai/Research-Claw, which has 858 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on August 20, 2026.

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