Borrowing it
Nothing to install: this file belongs to collaborative-deep-research/agent-papers-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/collaborative-deep-research/agent-papers-cli/main/CLAUDE.mdgit clone --depth 1 https://github.com/collaborative-deep-research/agent-papers-cliWrote 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/instructions/collaborative-deep-research/agent-papers-cli/claude-md)<a href="https://agentmods.dev/instructions/collaborative-deep-research/agent-papers-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/collaborative-deep-research/agent-papers-cli/claude-md/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/instructions/collaborative-deep-research/agent-papers-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/collaborative-deep-research/agent-papers-cli/claude-md.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 | $0.00909 | $0.00909 |
| Opus 5.5 | $0.00364 | $0.00364 |
| Sonnet 5.5 | $0.00182 | $0.00182 |
| Haiku 4.5 | $0.00091 | $0.00091 |
Grade A, and why
agent-papers-cli CLAUDE.md 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project: paper & paper-search CLI
Two CLI tools in one repo: paper (read academic PDFs) and paper-search (web + academic search). See README.md for full docs and SKILLS.md for agent workflows.
Quick reference
- Entry points:
paper = paper.cli:cli,paper-search = search.cli:cli(Click) - paper modules:
cli.py,parser.py,fetcher.py,storage.py,renderer.py,models.py,highlighter.py,layout.py,bibtex.py - search modules:
cli.py,config.py,models.py,renderer.py,backends/{google,semanticscholar,pubmed,browse}.py - Cache:
~/.papers/<paper_id>/(papers:paper.pdf,parsed.json,metadata.json,highlights.json,layout.json,layout/*.png,paper_annotated.pdf,bibtex.bib),~/.papers/.models/(YOLO weights),~/.papers/.env(persistent API keys),~/.papers/.last_header(header auto-suppression state) - Local PDFs: Pass a file path (e.g.,
./paper.pdf) instead of an arxiv ID — reads directly, no download. Cache uses{stem}-{hash8}IDs (SHA-256 of absolute path) to avoid collisions. Stale caches are detected via mtime comparison. - Tests:
pytest— paper tests intests/(124 tests), search tests intests/search/(69 tests) - Agent skills:
.claude/skills/— research-coordinator, deep-research, literature-review, fact-check
Architecture notes
paper
- Parser tries PDF built-in outline first, falls back to font-size heuristics
- GROBID backend planned for future (noted in
parser.py) - Data model inspired by papermage: flat
raw_text+Sectionlist with character-offsetSpans - Downloads use atomic temp-file-then-rename pattern
- Storage sanitizes paper IDs to prevent path traversal
- Layout detection (optional
[layout]extra) uses DocLayout-YOLO via doclayout_yolo - Layout detection is lazy: runs on first
paper figures/tables/equationscall, cached inlayout.json - Supports MPS (Apple Metal), CUDA, and CPU backends for inference
- Model weights auto-downloaded from collab-dr/DocLayout-YOLO-DocStructBench (pinned fork) to
~/.papers/.models/on first use - Detected elements are cropped as PNG screenshots to
~/.papers/<id>/layout/
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 · 39 lines · 909 tokens per session scan A 240aa74c5dfc
agent-papers-cli CLAUDE.md is an instructions file published in the GitHub repository collaborative-deep-research/agent-papers-cli (50 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 909 tokens to every session, about $0.0036 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.
agent-papers-cli CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-papers-cli CLAUDE.mdcollaborative-deep-research/agent-papers-cli | Instructions file | 50 | 7mo ago | Apache-2.0 | A | 909 | Claude Code |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |