Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/wolframresearch/agenttools/wolfram-languagenpx skills add WolframResearch/AgentTools --skill wolfram-languagegit clone --depth 1 https://github.com/WolframResearch/AgentToolsWhat 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 | $0.00063 | $0.01515 |
| Opus 5 | $0.00032 | $0.00758 |
| Sonnet 5 | $0.00013 | $0.00303 |
| Haiku 4.5 | $0.00006 | $0.00152 |
Grade A, and why
wolfram-language 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 2d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wolfram Language
A full Wolfram Language development environment with code evaluation, documentation search, symbol inspection, static analysis, and test execution.
Prerequisites
These scripts require wolframscript. If it is not installed or not on your PATH, read references/GetWolframEngine.md (relative to this skill directory) for installation instructions.
Usage
With MCP Server (preferred)
If you have Wolfram Language MCP tools available in your tool list (e.g., mcp__WolframLanguage__WolframLanguageEvaluator), use those directly. They provide richer integration, stateful evaluation, and better performance than the bundled scripts.
For a richer experience, consider setting up the Wolfram MCP server. See references/SetUpWolframMCPServer.md (relative to this skill directory) for instructions.
With Bundled Scripts
If no MCP tools are available, use the bundled scripts in the scripts/ directory (relative to this skill directory). Run them with:
wolframscript -f scripts/<ScriptName>.wls <arguments>
Pass --usage to any script to see its argument documentation:
wolframscript -f scripts/<ScriptName>.wls --usage
For detailed usage, arguments, and invocation syntax for each script, see references/Scripts.md (relative to this skill directory).
Reminder: These scripts are only relevant when you do not have the equivalent MCP tool available.
Available Tools
| Script | When to use |
|---|---|
WolframLanguageContext |
Agentic search for documentation and other Wolfram Language resources |
WolframLanguageEvaluator |
Evaluate Wolfram Language code and return results |
SymbolDefinition |
Inspect how symbols are defined |
TestReport |
Run .wlt test files and directories to verify correctness |
CodeInspector |
Check Wolfram Language code or files for issues and style problems |
WolframLanguageContext
If your MCP server provides a WolframContext tool instead of WolframLanguageContext, you can use that instead. It's effectively equivalent, except it may include additional context from Wolfram Alpha.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 133 lines · 63 tokens per session scan A 6fc3a900513d
wolfram-language is a skill published in the GitHub repository WolframResearch/AgentTools (82 stars, last pushed 6d ago), licensed MIT. It adds 63 tokens to every session and 1,515 once invoked, about $0.0003 per session on Opus 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.
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