sympy
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Performs exact symbolic mathematics with SymPy for algebra, calculus, equation solving, symbolic linear algebra, physics, and lambdify or LaTeX code generation. Use when a task needs symbolic results, explicit assumptions, or exact arithmetic; use NumPy or SciPy for purely numerical workloads.
- Package
- 8 files, 87 KB
- SKILL.md
- 1681 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
ReadWriteEditBash- License
- https://github.com/sympy/sympy/blob/master/LICENSE
- Compatibility
- Requires Python 3.9+ and SymPy 1.14.0. Optional NumPy/SciPy/Matplotlib, IPython/ipywidgets, or ANTLR 4.11 parser runtime for relevant examples. Compiled wrappers need a C/Fortran compiler and backend packages; emitting source needs no compiler. Network only for installation/docs.
SKILL.md covers: SymPy - Symbolic Mathematics in Python · Overview · Installation · Install SymPy using uv · Optional: for lambdify and plotting examples · When to Use This Skill · Core Capabilities · Working with SymPy: Best Practices · 1. Always Define Symbols First · Now x, y, z can be used in expressions · 2. Use Assumptions for Better Simplification · 3. Use Exact Arithmetic
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
references/advanced-topics.md | doc | 14 KB |
references/code-generation-printing.md | doc | 15 KB |
references/core-capabilities.md | doc | 9.4 KB |
references/core_capabilities.md | doc | 5.1 KB |
references/matrices-linear-algebra.md | doc | 10 KB |
references/physics-mechanics.md | doc | 15 KB |
references/review.md | doc | 5.9 KB |
External hosts referenced
docs.sympy.org github.com 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.
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-sympy-scan.json
- Badge for your README:
- Request a re-scan