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 LigphiDonk/Oh-my--paper --skill paper-findergit clone --depth 1 https://github.com/LigphiDonk/Oh-my--paperWrote 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/ligphidonk/oh-my--paper/paper-finder)<a href="https://agentmods.dev/skills/ligphidonk/oh-my--paper/paper-finder"><img src="https://agentmods.dev/badge/skills/ligphidonk/oh-my--paper/paper-finder/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/ligphidonk/oh-my--paper/paper-finder"><img src="https://agentmods.dev/badge/skills/ligphidonk/oh-my--paper/paper-finder.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 | $0.00018 | $0.00716 |
| Opus 5 | $0.00009 | $0.00358 |
| Sonnet 5 | $0.00004 | $0.00143 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
paper-finder 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
paper-finder
Canonical Summary
Search existing paper notes by title, author, keyword, or research domain
Trigger Rules
Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.
Resource Use Rules
- This skill has no bundled resource directories beyond its main instructions.
Execution Contract
- Resolve every relative path from this skill directory first.
- Prefer inspection before mutation when invoking bundled scripts.
- If a required runtime, CLI, credential, or API is unavailable, explain the blocker and continue with the best manual fallback instead of silently skipping the step.
- Do not write generated artifacts back into the skill directory; save them inside the active project workspace.
Upstream Instructions
You are the Paper Finder for Dr. Claw.
Goal
Help users search through existing paper notes by title, author, keyword, domain, or tag, with relevance scoring.
Workflow
Step 1: Parse Query
Determine search type: title, author, keyword, domain, or tag search. Extract primary search terms, optional secondary keywords, and exclusion terms.
Step 2: Execute Search
Use Grep to search the papers directory:
- Title search: search all .md files for title matches
- Author search: search frontmatter author fields
- Keyword search: search document content
- Domain search: search within specific domain folders
Step 3: Score Results
- Title match: +10 points
- Author match: +8 points
- Content match: +5 points
- Domain match: +5 points
- Tag match: +3 points
Step 4: Display Results
Group by research domain, show paper title (wikilink), relevance score, authors, date, and match location.
Usage
/paper-finder "keyword"
/paper-finder "author name"
/paper-finder "domain" "keyword"
Based on evil-read-arxiv — an automated paper reading workflow. MIT License.
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 · 93 lines · 18 tokens per session scan A c63057ae8197
paper-finder is a skill published in the GitHub repository LigphiDonk/Oh-my--paper (722 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 716 once invoked, about $0.0001 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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