problem-driven-literature-review

problem-driven-literature-review is a skill for Claude Code, Codex from yujie-jason-zhang/polish_skill. It costs 84 tokens per session (1,157 once invoked), scanned A, original, MIT.

A writing and review guide for the literature review, related-work, and background sections of technical research papers. It organizes sources around the problem being studied and the claims the paper needs to support.

In plain words
What is it for?
Use it to select references, assign citations to specific claims, organize related work, or audit an existing literature review.
Why use it?
It helps prevent literature sections from becoming lists of papers or citations without a clear purpose. It also helps identify missing assumptions, research gaps, and relevant competing work.

Skill for Claude CodeCodex

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

Good fit Use it to select references, assign citations to specific claims, organize related work, or audit an existing literature review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review
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 yujie-jason-zhang/polish_skill --skill problem-driven-literature-review
Clone the repo
git clone --depth 1 https://github.com/yujie-jason-zhang/polish_skill

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 problem-driven-literature-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review/github.svg)](https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review)
Your own site
<a href="https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review/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 problem-driven-literature-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,157 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 $0.00084 $0.01157
Opus 5 $0.00042 $0.00579
Sonnet 5 $0.00017 $0.00231
Haiku 4.5 $0.00008 $0.00116

Measured 12d ago against content hash 16d6b89118cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

problem-driven-literature-review 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_references.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

problem-driven-literature-review/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Problem-Driven Literature Review

Scope

Use this skill for literature review, related work, introduction background, research-gap synthesis, reference selection, and citation-role assignment in technical research papers, organized by a problem-driven protocol rather than a method-name list.

Read references/literature_review_protocol.md for the full protocol, worksheet, paragraph templates, reference-role table, reference metadata check, quality gates, and per-contribution-type examples before drafting or auditing a full review. For a short background paragraph, the principle and protocol summary below are enough.

Use another skill when the task is primarily:

  • novelty risk, dangerous baselines, or whether the idea is defensible before writing: use idea-novelty-auditor (if available);
  • manuscript storyline, section structure, contribution framing, or experiment-to-claim redesign: use paper-argument-reconstructor (if available);
  • TeX-safe language polishing of the review text: use paper-polisher (if available).

Verification Mode

This skill has two modes. By default it writes or revises the review as described above. When the input is a related-work or background section another tool or skill has already drafted, switch to verification mode instead of regenerating:

  • do not overwrite the other tool's wording;
  • check it against this skill's rules: citation integrity, reference metadata quality, direct-competitor coverage, negative-claim hygiene, and whether the named structural gap is actually supported;
  • report only the deviations and their locations; fix one in place only if it breaks a hard rule.

The suite's value is faithful, bounded output, not a competing rewrite. Verify rather than replace what a stronger generator already produced.

One-Sentence Principle

A literature review is not a list of what other people did. It should prove why the target paper is necessary:

S requires R.
Literature L solves parts of R under H.
H breaks under S, producing gap G.
We propose C to close G and validate it by V.

Read the full file on GitHub · 75 lines

Files

What ships with it

2 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 · 75 lines · 84 tokens per session scan A 16d6b89118cc

Subscribe to this mod's changes

problem-driven-literature-review is a skill published in the GitHub repository yujie-jason-zhang/polish_skill (18 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,157 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 2026-08-30.

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