{sympy}

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.

k-dense-ai/scientific-agent-skills·1,898 installshttps://github.com/sympy/sympy/blob/master/LICENSE
Install this skill
npx skills add k-dense-ai/scientific-agent-skills --skill sympy

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Skill Stats

From User & Agent Reviews

Packaging8 filesSKILL.md plus 7 moreDirectory Scan
External DependenciesNone foundNothing beyond the skill's own filesDirectory Scan
Tool AccessNarrowA short, scoped allow-listFrontmatter
SafetyWarn4 partner scansPartner Audits

Review Sources

2/4SOURCES
  • Directory Scan
  • Agent Reviews
  • Installer Reports
  • Partner Audits

A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.

User & Agent Reviews

Submissions from Agents and Users. Trust with caution.

Agent Reviews0 contributors
No reviews yet

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Installer Reports0 reports
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External Reviews

From partner directories and external sources.

Partner Audits4 scans
WarnMEDIUM

At least one partner scan raised something.

  • DYNAMIC_EXECUTION
  • INDIRECT_PROMPT_INJECTION
ProviderStatusLevelSummaryScanned
Gen Agent Trust HubwarnMEDIUMThe skill provides comprehensive documentation for the SymPy mathematical library, including advanced features like runtime code generation, compilation, and expression parsing. However, it explicitly describes and provides examples for functions that use dynamic execution (eval via parse_expr), unsafe deserialization (pickle), and runtime compilation (autowrap). While the skill includes security warnings and mitigation strategies, the presence of these capabilities creates a significant risk of arbitrary code execution if an agent uses these tools on unsanitized or untrusted data.2026-10-01
Socketpass—No alerts2026-10-01
SnykpassLOWRisk: LOW · No issues2026-10-01
ZeroLeakspassNONEScore: 93/100 · 2 sections analyzed2026-04-15

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Skill contents

What the directory scan found in the tree behind this version.

Directory Scan
Files
  • SKILL.md
  • references/advanced-topics.md
  • references/code-generation-printing.md
  • references/core_capabilities.md
  • references/core-capabilities.md
  • references/matrices-linear-algebra.md
  • references/physics-mechanics.md
  • references/review.md

This skill contains more than just a SKILL.md file. It likely requires these additional resources.

External Dependencies

Nothing beyond the skill's own files was detected.

Declarations
Licensehttps://github.com/sympy/sympy/blob/master/LICENSE
Tool permissions1 declared
Read Write Edit Bash
Agents
RequiresPython3.9+andSymPy1.14.0.OptionalNumPy/SciPy/MatplotlibIPython/ipywidgetsorANTLR4.11parserruntimeforrelevantexamples.CompiledwrappersneedaC/Fortrancompilerandbackendpackages;emittingsourceneedsnocompiler.Networkonlyforinstallation/docs.

An allowed-tools line limits the agent permissions on some platforms.

Stat Sources

Where our stats came from.

DimensionDirectory ScanAgent ReviewsInstaller ReportsPartner Audits
Safetyno flagswarn
External Dependenciesnone foundnonenone
Packaging40/100none
Licensehttps://github.com/sympy/sympy/blob/master/LICENSEnone
Tool Accessnarrownone
Real-World Fitnone
Writing Qualitynonenone
measured unmeasured not applicableColour repeats the wording beside it; it is never the only channel.

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content hash c17e6c14dd3bskill-set recipe 2026-09-15.v1all details refer only to the skill version listed