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 JeanDiable/obsidian-claude --skill paper-searchgit clone --depth 1 https://github.com/JeanDiable/obsidian-claudeWrote 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/jeandiable/obsidian-claude/paper-search)<a href="https://agentmods.dev/skills/jeandiable/obsidian-claude/paper-search"><img src="https://agentmods.dev/badge/skills/jeandiable/obsidian-claude/paper-search/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/jeandiable/obsidian-claude/paper-search"><img src="https://agentmods.dev/badge/skills/jeandiable/obsidian-claude/paper-search.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 | $0.00028 | $0.00912 |
| Opus 5 | $0.00014 | $0.00456 |
| Sonnet 5 | $0.00006 | $0.00182 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
paper-search 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Paper Searcher.
Goal
Help users search for related papers in existing paper notes through keywords, authors, research domains, or specific topics.
Workflow
Step 1: Parse Search Query
Analyze user's search query to determine:
-
Search type
- Title search: query contains specific title
- Author search: query contains author name
- Keyword search: query contains specific keywords
- Domain search: query for specific domain
- Tag search: query contains specific tags
-
Extract search parameters
- Primary search terms (must match)
- Secondary keywords (optional)
- Exclusion keywords (optional)
-
Determine search scope
- All domains (default)
- Specific domain (if specified)
Step 2: Execute Search
2.1 Search Strategy
Use Grep in 50_Clippings/Papers/ directory to search:
- Title search: search titles across all files
- Author search: search frontmatter authors field
- Keyword search: search document content
- Domain search: search specific domain folders
2.2 Search Parameters
# Search by title
grep -r -i "query keyword" "$OBSIDIAN_VAULT_PATH/50_Clippings/Papers/" --include="*.md"
# Search by author
grep -r "author name" "$OBSIDIAN_VAULT_PATH/50_Clippings/Papers/" --include="*.md" | grep -i "author"
# Search by domain
grep -r "keyword" "$OBSIDIAN_VAULT_PATH/50_Clippings/Papers/[domain]/"
Step 3: Process Search Results
3.1 Organize Results
-
Extract basic info
- Paper title
- Authors
- Publication date
- Domain
- File path
-
Match context
- Extract matching lines (where keywords appear)
- Used for calculating relevance
3.2 Calculate Relevance Score
- Title match (high weight): +10 points
- Content match (medium weight): +5 points
- Author match (high weight): +8 points
- Domain match (medium weight): +5 points
- Tag match (medium weight): +3 points
3.3 Apply Filtering
- Exclude papers containing exclusion keywords
- Remove papers with quality score below threshold (optional)
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 · 140 lines · 28 tokens per session scan A 976e514ee3d2
paper-search is a skill published in the GitHub repository JeanDiable/obsidian-claude (2 stars, last pushed 6mo ago), licensed MIT. It adds 28 tokens to every session and 912 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 2026-08-31.
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