PINA: Skill for Claude Code

.agents/skills/define-equations/SKILL.md

define-equations is a skill for Claude Code, Codex from PINA-org/PINA. It costs 0 tokens per session (14 once invoked), scanned A, original, MIT.

A skill for defining equations, but the available description does not explain what the equations are used for.

In plain words
What is it for?
The concrete tasks it supports cannot be determined from the supplied information.
Why use it?
The supplied information is not enough to identify the problem it solves.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions OpenCode.

This is PINA-org/PINA's own configuration. It tells Claude Code and Codex how to work on PINA itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PINA configures →

Reuse

Borrowing it

Nothing to install: this file belongs to PINA-org/PINA. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/PINA-org/PINA/master/.agents/skills/define-equations/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/PINA-org/PINA

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for define-equations

README.md
[![agentmods](https://agentmods.dev/badge/skills/pina-org/pina/define-equations.svg)](https://agentmods.dev/skills/pina-org/pina/define-equations)
Your own site
<a href="https://agentmods.dev/skills/pina-org/pina/define-equations"><img src="https://agentmods.dev/badge/skills/pina-org/pina/define-equations.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 1
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00014
Opus 5 $0.00000 $0.00007
Sonnet 5 $0.00000 $0.00003
Haiku 4.5 $0.00000 $0.00001

Measured 8d ago against content hash 6e509f751ba8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

define-equations 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 8d 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.

.agents/skills/define-equations/SKILL.md · 1 lines

What it actually says

../../../.opencode/skills/define-equations/SKILL.md

Changes

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.

  1. 8d ago First seen · 1 lines · 0 tokens per session scan A 6e509f751ba8

Subscribe to this mod's changes

define-equations is a skill published in the GitHub repository PINA-org/PINA (790 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 14 tokens. 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.

Related

Other skills, from other repositories

physicsnemo-shard-tensor

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor…

NVIDIA/physicsnemo · 152 tokens

physicsnemo-discover

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment…

NVIDIA/physicsnemo · 124 tokens

graphsignal-profiler

Set up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch, and dstack services. Use when the user wants GPU profiling, tracing, or monitoring for inference, asks about graphsignal-run or graphsignal.watch(), or asks about CUPTI / Prometheus / OTLP setup.

graphsignal/graphsignal-profiler · 74 tokens

flow-nexus-neural

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus.

ruvnet/ruflo · 21 tokens

developing-with-streamlit

Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit apps. Also custom components, st.components.v2, HTML/JS/CSS work. Discovers and loads version-matched reference docs from the user's installed Streamlit (>=1.57). Triggers: streamlit, st.…

streamlit/streamlit · 128 tokens

lepton-cli

Operate NVIDIA DGX Cloud Lepton through the globally installed lep CLI. Use when the user asks to inspect or manage Lepton workspaces, endpoints/deployments, dev pods, batch jobs, fine-tuning jobs, Ray clusters, Slurm clusters, Dynamo endpoints, storage, secrets, nodes, ingress, templates, logs, authentication, or…

leptonai/leptonai · 122 tokens