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Install in OpenClaw
/install nm-pensive-math-review
Description
Verify math-heavy code for algorithm correctness, numerical stability, and standards alignment
Usage Guidance
This skill appears to do what it says: guide a human/agent through math-heavy code review and run tests/notebooks to gather evidence. Before installing or running it: 1) Inspect the two Night Market config entries referenced (night-market.pensive:shared and night-market.imbue:proof-of-work) to ensure they don't contain secrets or tokens you don't want exposed. 2) Do not execute the skill against untrusted repositories without sandboxing — pytest and executing Jupyter notebooks can run arbitrary code, access the network, or exfiltrate data. 3) Ensure the execution environment has the needed numerical tools (SymPy, NumPy, SciPy, Jupyter) pinned and isolated (e.g., container/VM). 4) If you plan to allow autonomous invocation by an agent, restrict its runtime privileges (network, filesystem scope) or require manual approval for executing tests/notebooks. If you can confirm the config entries are safe and you will run the skill in an isolated environment, the skill is coherent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: nm-pensive-math-review
Version: 1.0.0
The skill bundle is a comprehensive toolset for reviewing mathematical and scientific code, focusing on numerical stability, derivation verification, and requirements mapping. It utilizes standard development tools such as git, pytest, and Jupyter nbconvert to perform its stated functions, and the instructions in SKILL.md and its modules (e.g., numerical-stability.md, testing-strategies.md) are strictly aligned with legitimate code auditing practices without any evidence of malicious intent or data exfiltration.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description match the contents: the skill is an instruction-only math/algorithm review that walks through context-sync, requirements mapping, symbolic derivation checks, numerical-stability checks, and test execution. No unrelated credentials or unrelated binaries are requested. The two declared config paths (night-market.pensive:shared, night-market.imbue:proof-of-work) plausibly belong to the Night Market ecosystem; their presence is not obviously inconsistent with a plugin that integrates with that system.
Instruction Scope
Instructions explicitly tell the agent to run repository commands (git status/diff), execute tests (pytest tests/math/ --benchmark) and execute notebooks (jupyter nbconvert --execute derivation.ipynb). That is coherent for a code-review / verification skill, but executing tests or notebooks in an unchecked environment can run arbitrary code from the repository (including network access or side effects). The SKILL.md does not include any sandboxing or explicit restrictions, nor does it list required numerical packages (SymPy, NumPy, Jupyter) even though examples reference them.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is downloaded or written by the skill itself. This is the lowest-risk install model and matches the declared manifest.
Credentials
The skill declares no required environment variables and does not request broad cloud credentials. It does require two Night Market config paths (night-market.pensive:shared, night-market.imbue:proof-of-work). The manifest does not show what these configs contain; they could be harmless settings or could hold tokens/credentials. Because the skill executes repo tests/notebooks, it could indirectly access secrets present in the repo or environment when run — consider limiting its access or inspecting those config entries before installing.
Persistence & Privilege
always:false and user-invocable:true (default) — no forced inclusion. The skill does not declare any behavior that modifies other skills or system-wide agent settings. Autonomous invocation is permitted by platform default but is not combined with other high-risk privileges in this skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-pensive-math-review - After installation, invoke the skill by name or use
/nm-pensive-math-review - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the math-review skill.
- Provides a workflow for verifying math-heavy code for algorithm correctness, numerical stability, and standards alignment.
- Includes detailed checklists, output templates, and required workflow steps (context sync, requirements mapping, derivation verification, stability assessment, proof of work).
- Offers progressive loading for scalable analysis depth.
- Documents risk classification, essential checklist, and troubleshooting guidance.
- Integration instructions and references to authoritative standards provided.
Metadata
Frequently Asked Questions
What is Nm Pensive Math Review?
Verify math-heavy code for algorithm correctness, numerical stability, and standards alignment. It is an AI Agent Skill for Claude Code / OpenClaw, with 80 downloads so far.
How do I install Nm Pensive Math Review?
Run "/install nm-pensive-math-review" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Pensive Math Review free?
Yes, Nm Pensive Math Review is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Pensive Math Review support?
Nm Pensive Math Review is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Pensive Math Review?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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