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.
npx skills add yujie-jason-zhang/polish_skill --skill paper-argument-reconstructorgit clone --depth 1 https://github.com/yujie-jason-zhang/polish_skillWrote 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.
[](https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/paper-argument-reconstructor)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
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.
- 12d ago First seen · 85 lines · 118 tokens per session scan A b45769a14b79
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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