tamarind
No security findings. Scanned 1 time, most recently 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
Provides access to a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of…
- Package
- 5 files, 46 KB
- SKILL.md
- 1533 words, 12+ sections
- Code
- None. Instructions only.
- License
- MIT
- Compatibility
- Requires Python 3.10+, a Tamarind Bio account, and an API key from app.tamarind.bio. Uses the `requests` library against the public REST API (these recipes use HTTP directly). Network access required. Optional MCP server at mcp.tamarind.bio/mcp for agent hosts.
SKILL.md covers: Tamarind Bio · Sources and review scope · Access · Public discovery requires no credential. · Account-scoped discovery: · Workflow · Picking tools and interpreting results · File inputs and chaining · Batches and pipelines · MCP alternative · Recovery · Reference files
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
references/api_reference.md | doc | 12 KB |
references/examples.md | doc | 5.3 KB |
references/tool_catalog.md | doc | 3.9 KB |
references/workflows.md | doc | 11 KB |
External hosts referenced
app.tamarind.bio docs.tamarind.bio mcp.tamarind.bio
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
TAMARIND_API_KEY TAMARIND_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-tamarind-scan.json
- Badge for your README:
- Request a re-scan