paper-argument-reconstructor

paper-argument-reconstructor is a skill for Claude Code, Codex from yujie-jason-zhang/polish_skill. It costs 118 tokens per session (1,159 once invoked), scanned A, original, MIT.

A guide for improving the reasoning and structure of academic research papers. It organizes the paper around the problem, evidence, claims, methods, experiments, and conclusions.

In plain words
What is it for?
Use it to restructure abstracts, introductions, methods, theory, experiments, results, discussions, conclusions, and contribution statements.
Why use it?
It helps fix unclear storylines, weak contribution framing, and mismatches between experiments and claims. It can also diagnose or rewrite individual sections or the whole paper.

Skill for Claude CodeCodex

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

Good fit Use it to restructure abstracts, introductions, methods, theory, experiments, results, discussions, conclusions, and contribution statements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yujie-jason-zhang/polish_skill/paper-argument-reconstructor
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 paper-argument-reconstructor
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 paper-argument-reconstructor

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/paper-argument-reconstructor"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/paper-argument-reconstructor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,159 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 $0.00118 $0.01159
Opus 5 $0.00059 $0.00580
Sonnet 5 $0.00024 $0.00232
Haiku 4.5 $0.00012 $0.00116

Measured 12d ago against content hash b45769a14b79, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

paper-argument-reconstructor 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.

paper-argument-reconstructor/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Argument Reconstructor

Scope

Use this skill when the user asks to improve a manuscript's logic, storyline, contribution framing, section structure, paragraph function, or experiment-to-claim alignment.

For full papers, major sections, introduction rewrites, contribution statements, or experiment-logic redesign, read references/argument_reconstruction.md. For Chinese-facing workflow guidance, references/argument_reconstruction_zh.md is available as a companion reference.

Use another skill when the task is primarily:

  • TeX-safe expression polishing, proofreading, translation, or preservation checking: use paper-polisher (if available);
  • idea novelty risk, dangerous baselines, reviewer attacks, or whether a contribution is defensible before manuscript writing: use idea-novelty-auditor (if available);
  • literature review, related work, introduction background, research-gap synthesis, reference selection, citation-role assignment, or direct-competitor coverage: use problem-driven-literature-review (if available).
  • audit-only checks of experiment-set minimality, ablation sufficiency, feasibility against stated resources, or report-style results narration: use experiment-section-auditor (if available).

If the user asks for novelty audit, literature review, and manuscript reconstruction together, use idea-novelty-auditor (if available) first, then problem-driven-literature-review (if available), then reconstruct only the defensible claims.

Verification Mode

This skill has two modes. By default it reconstructs as described above. When the input is an argument or section another tool or skill has already drafted or rewritten, switch to verification mode instead of regenerating:

  • do not overwrite the other tool's wording;
  • check it against this skill's rules: claim boundaries, contribution-to-evidence alignment, and whether any claim was strengthened beyond what the source supports;
  • report only the deviations and their locations; fix one in place only if it breaks a hard rule.

Read the full file on GitHub · 85 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 · 85 lines · 118 tokens per session scan A b45769a14b79

Subscribe to this mod's changes

paper-argument-reconstructor is a skill published in the GitHub repository yujie-jason-zhang/polish_skill (18 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 1,159 once invoked, about $0.0006 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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