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 zfy465914233/scholar-agent --skill paper-workflowgit clone --depth 1 https://github.com/zfy465914233/scholar-agentWrote 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/zfy465914233/scholar-agent/paper-workflow)<a href="https://agentmods.dev/skills/zfy465914233/scholar-agent/paper-workflow"><img src="https://agentmods.dev/badge/skills/zfy465914233/scholar-agent/paper-workflow/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/zfy465914233/scholar-agent/paper-workflow"><img src="https://agentmods.dev/badge/skills/zfy465914233/scholar-agent/paper-workflow.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 | $0.00036 | $0.00370 |
| Opus 5.5 | $0.00014 | $0.00148 |
| Sonnet 5.5 | $0.00007 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
paper-workflow 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.
What it actually says
Paper Discovery Workflow
Find, score, and recommend academic papers matching the user's research interests.
Step 1: Choose the search mode
| Mode | When to use |
|---|---|
| Daily recommendations | User wants today's paper digest |
| Topic search | User asks about a specific topic |
| Conference search | User asks about papers from a specific venue/year |
Step 2: Run the search
Daily recommendations
daily_recommend(language="zh", dual_track=true)
This runs the full pipeline: arXiv recent papers + conference impact papers + arXiv innovation papers. Returns a daily note and a list of top papers for analysis.
Topic search
search_papers(query="chain of thought reasoning", top_n=10)
Conference search
search_conf_papers(venues="NeurIPS,ICML", year=2026, top_n=10)
Step 3: Present results to the user
Show the paper list with:
- Title, authors, arxiv_id
- Recommendation score
- Matched domain and keywords
Step 4: Deep analysis (if requested)
For papers the user wants to analyze in depth, follow the paper-analysis skill.
Notes
- Language setting comes from config (
zhoren). Default is Chinese. skip_existing=trueavoids re-analyzing papers already in paper-notes/.- The dual-track mode gives 2 conference papers (impact-ranked) + 2 arXiv papers (innovation-scored).
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 · 57 lines · 36 tokens per session scan A 67b83a3b97c2
paper-workflow is a skill published in the GitHub repository zfy465914233/scholar-agent (9 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 370 once invoked, about $0.0001 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 2026-08-31.
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