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 read-paper-to-notesgit 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/read-paper-to-notes)<a href="https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/read-paper-to-notes"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/read-paper-to-notes/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/read-paper-to-notes"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/read-paper-to-notes.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 | $0.00116 | $0.01124 |
| Opus 5.5 | $0.00046 | $0.00450 |
| Sonnet 5.5 | $0.00023 | $0.00225 |
| Haiku 4.5 | $0.00012 | $0.00112 |
Grade A, and why
read-paper-to-notes 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 1mo 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read Paper to Notes
Scope
Read one academic paper closely and produce a reusable Markdown note grounded in the supplied source.
For a complete paper note, read references/reading_protocol.md before drafting and use assets/paper-note-template.md as the output structure. Adapt the number of method, equation, and experiment subsections to the paper; keep the core headings and evidence conventions.
Use another skill when the main task is:
- synthesizing several papers into related work or a literature review: use
problem-driven-literature-reviewif available; - diagnosing or rewriting the argument of the user's manuscript: use
paper-argument-reconstructorif available; - polishing manuscript language or preserving TeX: use
paper-polisherif available; - auditing novelty claims or an experiment plan: use the corresponding audit skill if available.
Modes
- Full-note mode: Read the complete paper and fill the bundled Markdown template. Use this by default when the user asks to read a paper or create paper notes.
- Focused mode: Analyze only the requested element, such as one equation, method module, figure, experiment, or limitation. Do not force the complete template.
- Enriched mode: Add verified publisher metadata, project code, datasets, or related-paper context when the user requests them or explicitly permits outside research. Keep outside information separate from paper-derived content.
Default to paper-only mode. Do not silently add web knowledge to a note presented as a summary of the supplied paper.
Workflow
- Establish the source boundary, requested output language, desired depth, and user research context. Infer obvious preferences from the request; ask only when missing information would materially change the note.
- Verify that the PDF or text is readable. Identify missing pages, failed extraction, scans requiring OCR, inaccessible supplements, or unreadable equations before claiming full coverage.
- Read in multiple passes: map the paper structure, reconstruct its problem-to-method chain, inspect technical details, and audit the evidence. Follow
references/reading_protocol.md. - Track important claims in an evidence ledger with the claim type and source location. Use printed page labels when visible; otherwise use
PDF p.N. Add section, equation, table, or figure identifiers when available. - Produce the note with
assets/paper-note-template.md. Replace every placeholder, retain论文未报告,不适用, or无法可靠读取where appropriate, and never fill a section by invention. - Check numerical values, units, metric directions, equation symbols, baseline names, dataset names, and claim boundaries against the source before finalizing.
What ships with it
3 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.
- 1mo ago First seen · 63 lines · 116 tokens per session scan A 7b32a3f017c6
read-paper-to-notes is a skill published in the GitHub repository yujie-jason-zhang/polish_skill (24 stars, last pushed 2mo ago), licensed MIT. It adds 116 tokens to every session and 1,124 once invoked, about $0.0005 per session on Opus 5.5. 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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