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 drpwchen/paper-review-and-digest --skill paper-digestgit clone --depth 1 https://github.com/drpwchen/paper-review-and-digestWrote 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/drpwchen/paper-review-and-digest/paper-digest)<a href="https://agentmods.dev/skills/drpwchen/paper-review-and-digest/paper-digest"><img src="https://agentmods.dev/badge/skills/drpwchen/paper-review-and-digest/paper-digest/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/drpwchen/paper-review-and-digest/paper-digest"><img src="https://agentmods.dev/badge/skills/drpwchen/paper-review-and-digest/paper-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00148 | $0.02652 |
| Opus 5 | $0.00074 | $0.01326 |
| Sonnet 5 | $0.00030 | $0.00530 |
| Haiku 4.5 | $0.00015 | $0.00265 |
Grade A, and why
paper-digest 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 11d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Digest — 單篇論文內容整理（快速吸收）
What this is (and is NOT)
/paper-review answers 「這篇可不可信、做得好不好」. /paper-digest answers
「這篇講了什麼、我怎麼最快把全部內容吸收進腦袋」. It is for papers read as content / knowledge
material（綜論、技術介紹、機制整理、指引）. The two are independent and can both run on one paper
(combined note). A digest additionally feeds the 複習迴圈: it generates self-test cards that go to
the review web page so learning doesn't end at "note written".
Tone, language, and clinical framing are driven by ${persona} (see Configuration). Follow vault
note rules (Tab indent, > [!type] callouts, ${persona.highlight_style} for cut-offs, no code
blocks for clinical content).
Configuration (read FIRST, every run)
Read config.yaml in the sibling paper-review/ skill directory (shared config; copy
config.example.yaml → config.yaml on first setup). Keys this skill uses:
${vault.papers_dir}, ${vault.medicine_dir}, ${vault.inbox_note}, ${vault.daily_section},
${review_site.url}, ${review_site.push_script}, ${persona}. Substitute every ${...} with the
config value; a blank value means "skip that route" (e.g. empty review_site.push_script → no card push).
Input
DOI / PMID / title / PDF path / pasted full text. Optional flags:
--into <note path>— instead of creating a standalone note, prepend the digest as a## 內容整理（快速吸收）section into an existing note (used by /paper-sync when both 🔬+📚 picked, so content sits above the appraisal in one file).--no-cards— skip review-card generation/push (default is to generate).
Phase 0 — Full text is MANDATORY (hard gate)
Acquire full text per the shared protocol ~/.claude/skills/paper-review/fulltext-acquisition.md
(user-provided → ${fulltext.inbox_dir} → Zotero → OA auto-fetch → Elsevier TDM → institutional SFX resolver).
If no route yields full text → STOP. Do NOT write an abstract-only digest. Report:
缺全文：{title} — 需要 PDF 才能做內容整理. When called from /paper-sync this routes to the 缺全文 handoff
(logged to ${vault.inbox_note} # 缺全文待補; user supplies PDF then says「繼續」). Abstract-only is
exactly the over-simplification this skill exists to avoid.
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.
- 11d ago First seen · 158 lines · 148 tokens per session scan A 3feac860ea24
paper-digest is a skill published in the GitHub repository drpwchen/paper-review-and-digest (39 stars, last pushed 20d ago), licensed MIT. It adds 148 tokens to every session and 2,652 once invoked, about $0.0007 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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