research-review-scaffold

research-review-scaffold is a skill for Claude Code, Codex from zhouyou-gu/skill-marketplace-template. It costs 75 tokens per session (1,275 once invoked), scanned A, original, MIT.

A starter structure for a literature-review workspace based on a research question or topic. A literature review is a structured study of existing published research, and this scaffold creates its folders, guidance files, and reusable note template.

In plain words
What is it for?
It helps create a review folder, define its purpose, derive topic-based theme folders, add review documents, and provide a reusable note template. It does not seed the workspace with papers or bibliography entries.
Why use it?
Beginning a review without an agreed structure can lead to scattered notes and unclear themes. This creates an organized starting point before sources are collected.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps create a review folder, define its purpose, derive topic-based theme folders, add review documents, and provide a reusable note template. It does not seed the workspace with papers or bibliography entries.

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Install with agentmods
npx agentmods add skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zhouyou-gu/skill-marketplace-template --skill research-review-scaffold
Clone the repo
git clone --depth 1 https://github.com/zhouyou-gu/skill-marketplace-template

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for research-review-scaffold

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold/github.svg)](https://agentmods.dev/skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold)
Your own site
<a href="https://agentmods.dev/skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold"><img src="https://agentmods.dev/badge/skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for research-review-scaffold

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold"><img src="https://agentmods.dev/badge/skills/zhouyou-gu/skill-marketplace-template/research-review-scaffold.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,275 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.01275
Opus 5 $0.00037 $0.00638
Sonnet 5 $0.00015 $0.00255
Haiku 4.5 $0.00007 $0.00128

Measured 12d ago against content hash b3ea6a049cc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research-review-scaffold scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/research-review-scaffold/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Review Scaffold

Trigger

  • Use when the user wants a review/ folder created from a research topic or research intention.
  • Use when the user needs a clean literature-review scaffold before collecting sources.
  • Use when the user wants topic-derived theme folders and topic-aware review framing, but not a seeded corpus.
  • Do not use this skill to create paper notes, source-index rows, or bibliography entries in the initial scaffold.
  • Do not use this skill when the research intention is still too vague to derive stable review themes; refine the intention first.

Inputs

  • project_dir: project root where the review workspace should be created
  • research_intention: concise statement of the review topic or research question; used to derive a purpose-only review mission, not workflow rules or current task state
  • review_dir: optional relative path for the review folder, default review
  • chat_context: optional conversation context that helps clarify wording and theme derivation; it must not become durable scope unless intentionally converted into the review mission or explicit scaffold text
  • theme_count_hint: optional preferred starting theme count; default behavior is approximately 3 themes
  • overwrite: when true, allow replacing existing scaffold files; otherwise skip collisions
  • dry_run: when true, return the scaffold plan without writing

Workflow

  1. Read research_intention and any chat_context, then clarify the review question until the intended literature scope is stable enough to scaffold. Treat chat context as supporting evidence only; do not persist chat-only instructions as durable review scope unless they are intentionally converted into the mission or scaffold docs.
  2. Derive a low-entropy starting theme map from the user's intention. Default to about 3 themes when no theme_count_hint is provided, but do not hard-code a maximum.
  3. Resolve the target review folder as project_dir/<review_dir>.
  4. Create a self-contained review workspace even when no parent agent workspace exists.
  5. Scaffold the four base agent files by invoking the agent-files skill (tool agent_files_init) with target_dir = project_dir/<review_dir>, a purpose-only mission derived from the stabilized research_intention, and the same overwrite flag. The derived mission must not include reusable workflow rules, current repository state, source-collection next steps, or transient objectives. This is the mechanism by which the parent relationship to agent-files is realized — do not re-implement the four base templates locally or patch immutable AGENT.md. On completion the target folder holds:
    • AGENT.md
    • AGENT_GOAL.md
    • AGENT_HARNESS.md
    • AGENT_PROGRESS.md
  6. Always scaffold the root review docs:
    • README.md
    • methodology.md
    • summary.md
    • source-index.md
    • references.bib
    • reference-audit.md
    • templates/paper-note-template.md
  7. Create numbered theme folders using NN-<theme>/ and preserve user-approved wording for the theme names whenever possible.
  8. Initialize topic-aware scaffold text only:
    • summary.md contains framing and placeholder synthesis sections, not final conclusions
    • source-index.md contains only the canonical header row
    • references.bib is empty or stubbed
    • no literature notes, source rows, or bibliography entries are created in v1
  9. If the topic crosses domains, mark transfer into the target domain as inference in the scaffold text unless the user clearly scopes the review as cross-domain by design.
  10. If overwrite is false, rely on the upstream agent-files compatibility checks for the four AGENT files, including immutable AGENT.md. For review-specific root docs, skip existing files cleanly and return them in files_skipped.
  11. If dry_run is true, perform steps 1–3 and 7 (derive the theme map) without writing. Return written=false, the planned review_path, the planned theme_folders, and the list of files that would be created in files_created as intent only; leave files_skipped empty; do not invoke agent_files_init.

Read the full file on GitHub · 81 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 81 lines · 75 tokens per session scan A b3ea6a049cc4

Subscribe to this mod's changes

research-review-scaffold is a skill published in the GitHub repository zhouyou-gu/skill-marketplace-template (5 stars, last pushed 19d ago), licensed MIT. It adds 75 tokens to every session and 1,275 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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