paperclip
Verdict safe, but 2 findings (1 medium, 1 low), mainly data exfiltration. Most recent scan 2026-10-21.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco found nothing and SkillSpector says do not install. One of them has a blind spot here; read the skill before trusting either. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK. Supports source-scoped search, full-text grep, metadata SQL, map/reduce extraction, figure analysis, optional repositories and claim verification, and line-pinned citations. Use when a task names GXL paperclip, asks to install or authenticate it, or requests literature retrieval and evidence extraction through Paperclip.
- Package
- 7 files, 70 KB
- SKILL.md
- 1546 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
BashReadWrite- License
- MIT
- Compatibility
- Requires network access and the GXL paperclip CLI. The macOS/Linux installer requires Python 3.8+ plus curl or wget; it installs a Python launcher and private library, not an interpreter. Use PAPERCLIP_API_KEY or existing browser-login credentials. Hosted MCP is available without local CLI installation. Reviewed against CLI/SDK 0.7.92.
SKILL.md covers: Paperclip CLI · Preflight and authentication · Choose the retrieval operation · Find, read, and cite · Multi-paper extraction · Substitute the actual search ID below. · Regulatory, trial, and figure reads · Use the actual filename returned by ls. · Virtual filesystem · Citations · Routines and repositories · Version boundaries
Findings
MEDIUM Python code block sends HTTP POST request Data Exfiltrationbehavioral
Code block in references/python-sdk.md at line 283 contains potentially dangerous Python code.
references/python-sdk.md:283
response = requests.post(LOW Dangerous data flow in command pipeline Data Exfiltrationpipeline
Pipeline downloads data from the network and executes it: `curl -fsSL https://paperclip.gxl.ai/install.sh | bash`. This is a remote code execution pattern. (Note: found in documentation file - may be instructional rather than executable.)
references/installation.md:1
curl -fsSL https://paperclip.gxl.ai/install.sh | bashWhat is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
references/cli-reference.md | doc | 9.3 KB |
references/installation.md | doc | 7.3 KB |
references/map-reduce.md | doc | 7.0 KB |
references/python-sdk.md | doc | 16 KB |
references/repos-and-workspace.md | doc | 8.6 KB |
references/search-and-retrieval.md | doc | 9.1 KB |
External hosts referenced
paperclip.gxl.ai arxiv.org doi.org export.arxiv.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
PAPERCLIP_API_KEY PAPERCLIP_BEARER_TOKEN PAPERCLIP_BASE_URL
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-paperclip-scan.json
- Badge for your README:
 - Request a re-scan