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 sjqsgg/Paperwise --skill paperwisegit clone --depth 1 https://github.com/sjqsgg/PaperwiseWrote 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/sjqsgg/paperwise/paperwise)<a href="https://agentmods.dev/skills/sjqsgg/paperwise/paperwise"><img src="https://agentmods.dev/badge/skills/sjqsgg/paperwise/paperwise/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/sjqsgg/paperwise/paperwise"><img src="https://agentmods.dev/badge/skills/sjqsgg/paperwise/paperwise.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 | $0.00042 | $0.04527 |
| Opus 5.5 | $0.00017 | $0.01811 |
| Sonnet 5.5 | $0.00008 | $0.00905 |
| Haiku 4.5 | $0.00004 | $0.00453 |
Grade A, and why
paper 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 2mo 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 — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/paper — Academic Paper Workflow
Default Config
Edit this section to customize for your project.
output_dir: "./papers"
# Obsidian vault users: set paper_output_dir in your project's CLAUDE.md
# Drive/OneDrive: use the appropriate MCP, then set path (e.g. "gdrive://My Drive/Papers")
venues: [CHI, ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, EDM, LAK, AIED, ITS, CSCW, SIGIR, CIKM]
keywords:
- cognitive load
- adaptive learning
- intelligent tutoring
- conversational learning
- LLM tutoring
- learning analytics
- behavioral signals
- educational dialogue
min_citations: 5 # /paper find: filter out papers with fewer citations
daily_max: 10 # /paper digest: max papers per run
annotation_lang: zh # zh = Chinese annotations | en = English; override with --lang
openalex_email: "" # Optional. Add email to join OpenAlex Polite Pool (higher rate limits).
semantic_scholar_api_key: "" # Optional. Free key: semanticscholar.org/product/api
Override any config value in your project's CLAUDE.md using keys: paper_output_dir, paper_venues, paper_keywords, paper_annotation_lang.
Subcommands
| Command | Usage | Description |
|---|---|---|
find |
/paper find "cognitive load LLM" |
Search papers → Digest HTML with top N cards |
read |
/paper read /path/to/file.pdf |
Annotate a single PDF → full dual-column HTML |
digest |
/paper digest |
Daily new papers from arxiv (used by cron) |
cite |
/paper cite [[note-name]] |
Generate APA + BibTeX citation from existing annotation |
Flags:
--context "ML课第3周"— override project context--questions "Q1:... Q2:..."— switch to Question mode (Mode A)--questions— interactive question mode (Claude asks you)--output /path/— override output directory for this run--top N— return N results (default: 5 for find, daily_max for digest); also accepts bare number after query--lang en— override annotation language for this run--source arxiv— search only arxiv (latest preprints, no citation filter)--source venues— search only papers from configvenueslist (citation-weighted ranking)--local /path/— read local PDFs from folder (no API calls); or--local a.pdf b.pdffor specific files
What ships with it
1 file 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.
- 2mo ago First seen · 378 lines · 42 tokens per session scan A 0446675368a4
paper is a skill published in the GitHub repository sjqsgg/Paperwise (153 stars, last pushed 7mo ago), licensed MIT. It adds 42 tokens to every session and 4,527 once invoked, about $0.0002 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.
paper compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| papersjqsgg/Paperwise | Skill | 153 | 7mo ago | MIT | A | 42 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |