mysteel-weather-reporter

mysteel-weather-reporter is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 34 tokens per session (170 once invoked), scanned A, original, no licence file.

A skill for checking weather in the main growing regions of agricultural products using Steelmate Data. It focuses on the current day or the most recently available data.

In plain words
What is it for?
Use it to check weather for specified agricultural futures varieties and analyse potential production and logistics impacts.
Why use it?
It connects weather conditions with possible effects on crop production and transport for agricultural futures.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to check weather for specified agricultural futures varieties and analyse potential production and logistics impacts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/weather-reporter
Install

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.

Any agent
npx skills add chuancyzhang/deepseek-cowork --skill weather-reporter
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

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 mysteel-weather-reporter

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/weather-reporter/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/weather-reporter)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/weather-reporter"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/weather-reporter/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.

agentmods 80×15 button for mysteel-weather-reporter

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/weather-reporter"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/weather-reporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 170 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.
Origin unknown 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 $0.00034 $0.00170
Opus 5 $0.00017 $0.00085
Sonnet 5 $0.00007 $0.00034
Haiku 4.5 $0.00003 $0.00017

Measured 12d ago against content hash 66a4c4e097bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mysteel-weather-reporter 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (weather_query.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ai_skills/mysteel-data/weather-reporter/SKILL.md · 14 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 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.

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. 12d ago First seen · 14 lines · 34 tokens per session scan A 66a4c4e097bc

Subscribe to this mod's changes

mysteel-weather-reporter is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (19 stars, last pushed today), with no licence file. It adds 34 tokens to every session and 170 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

monte-carlo

Use when the user wants Monte Carlo simulation of a PlanExe model — sampling from bounds to produce output distributions (mean/std/percentiles), threshold pass probabilities, and Pearson-correlation sensitivity rankings — given an extract-parameters-from-full JSON, a generate-bounds JSON, a generate-calculations…

PlanExeOrg/PlanExe · 71 tokens

cointegration-analysis

Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis.

agiprolabs/claude-trading-skills · 23 tokens

neqsim-utility-design

Screening-level utility-system DESIGN with NeqSim Java classes and the MCP designUtilities tool — fired steam Boiler, Deaerator, vapour-compression RefrigerationCycle, on-site NitrogenSystem generator, and multi-pressure SteamNetwork header cascade, plus the UtilitySystemDesigner aggregator that harvests demands from…

equinor/neqsim · 144 tokens

fin-paper-figure

Generate academic-quality figures (>=300 DPI) for economics and finance papers.

csmar432/finai-research · 14 tokens

quant-experiment-runtime

Quant research experiment executor: discover an offline source database under the workdir's code-repo, build a panel, run a Research Artifact's entry point to compute research-object values, and evaluate IC/ICIR/RANKIC/coverage metrics. Runtime = Experiment Executor; it runs a Research Artifact via a Python-native…

CamusGIT/EvoQuant · 179 tokens

fin-paper-writing

A workflow for turning a research outline and study design into a complete economics or finance paper. It coordinates drafting, figure creation, consistency checks, review rounds, LaTeX compilation, and submission checks.

csmar432/finai-research · 65 tokens