Borrowing it
Nothing to install: this file belongs to morluto/jacobian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/morluto/jacobian/main/.agents/skills/jacobian-math/SKILL.mdgit clone --depth 1 https://github.com/morluto/jacobianWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/morluto/jacobian/jacobian-math)<a href="https://agentmods.dev/skills/morluto/jacobian/jacobian-math"><img src="https://agentmods.dev/badge/skills/morluto/jacobian/jacobian-math/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/morluto/jacobian/jacobian-math"><img src="https://agentmods.dev/badge/skills/morluto/jacobian/jacobian-math.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00024 | $0.00166 |
| Opus 5.5 | $0.00010 | $0.00066 |
| Sonnet 5.5 | $0.00005 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
jacobian-math 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 1mo 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.
What it actually says
Jacobian Math Tools
Jacobian is a local library of typed mathematical operations for computation and structural analysis.
Use math.find as the library-navigation tool: search for a desired outcome,
browse an unfamiliar domain, or inspect an operation's schema and examples.
Use math.run to execute a selected operation and obtain its typed result.
Feed results into later reasoning, further Jacobian operations, or Python
scratch work as useful.
The operations are composable. Choose the representation, decomposition, order of operations, and stopping point that fit the problem. Reach for the library proactively when exact computation, finite search, or structural analysis may help.
What ships with it
1 file 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.
- 1mo ago Changed · -23 tokens per session b0b99c6eb71d
- 1mo ago First seen · 21 lines · 47 tokens per session scan A 6f16f4668464
jacobian-math is a skill published in the GitHub repository morluto/jacobian (322 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 166 once invoked, about $0.0001 per session on Opus 5.5. 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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