zhuoyu-workshop

zhuoyu-workshop is a skill for Codex from handsomeZR-netizen/zhuoyu-workshop-skill. It costs 81 tokens per session (1,245 once invoked), scanned A, original, MIT.

A workflow for turning Chinese university student projects into complete, credible materials for submission, presentation, or defense. It uses supplied evidence such as code, reports, screenshots, datasets, and requirements.

In plain words
What is it for?
Diagnosing a student project, improving reports and README files, preparing defense presentations and closing reports, and checking that code changes and claims are supported.
Why use it?
It helps organize a project that works but is difficult to explain or has incomplete documentation. It keeps claims tied to evidence instead of making up awards, results, users, or other achievements.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Diagnosing a student project, improving reports and README files, preparing defense presentations and closing reports, and checking that code changes and claims are supported.

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Install with agentmods
npx agentmods add skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop
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 handsomeZR-netizen/zhuoyu-workshop-skill --skill zhuoyu-workshop
Clone the repo
git clone --depth 1 https://github.com/handsomeZR-netizen/zhuoyu-workshop-skill

Made for: 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 zhuoyu-workshop

README.md
[![agentmods](https://agentmods.dev/badge/skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop/github.svg)](https://agentmods.dev/skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop)
Your own site
<a href="https://agentmods.dev/skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop"><img src="https://agentmods.dev/badge/skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop/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 zhuoyu-workshop

Your own site · 80×15
<a href="https://agentmods.dev/skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop"><img src="https://agentmods.dev/badge/skills/handsomezr-netizen/zhuoyu-workshop-skill/zhuoyu-workshop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,245 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 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 $0.00081 $0.01245
Opus 5 $0.00041 $0.00622
Sonnet 5 $0.00016 $0.00249
Haiku 4.5 $0.00008 $0.00125

Measured 13d ago against content hash 26be3c263e38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

zhuoyu-workshop 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 13d 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.

zhuoyu-workshop/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

琢玉工坊

把学生项目从“能跑、能讲一点”打磨成“材料完整、表达可信、答辩可交付”的工作流。

核心原则:玉不琢,不成器;项目不理,不成章。

Operating Rules

  • Ground the work in supplied artifacts first: repo files, report drafts, screenshots, logs, datasets, rubrics, competition notices, or teacher requirements.
  • Do not invent awards, users, metrics, experiments, patents, software copyright status, deployment results, model accuracy, or paper conclusions.
  • Prefer honest enhancement: clarify value, repair structure, expose evidence, improve wording, and add missing verification.
  • Use student-appropriate language: credible, specific, not over-commercialized, not inflated with terms like "world-leading" unless evidence exists.
  • For code tasks, use minimum viable changes, preserve user work, and define validation before claiming completion.
  • If critical inputs are missing, ask only for the missing material that changes the deliverable; otherwise proceed with clearly stated assumptions.

Route The Task

Classify the user request, then load only the matching reference file:

  • 项目诊断与定位: read references/project-diagnosis.md when the user needs to understand project value, current gaps, technical route, innovation points, or how to turn rough materials into a coherent story.
  • 成果包装与交付材料: read references/delivery-packaging.md when creating closing reports, achievement matrices, GitHub README, software copyright material drafts, competition submissions, or project portfolios.
  • 答辩与展示: read references/presentation-defense.md when generating PPT outlines, speaker notes, demo scripts, judge Q&A, or defense rehearsals.
  • 论文与报告: read references/paper-report.md when polishing papers, course reports, abstracts, references, LaTeX/Word structure, formatting checks, or academic wording.
  • AI 编程辅助: read references/ai-coding-workflow.md when using Codex for bug diagnosis, feature implementation, code review, refactoring, tests, or project cleanup.

When a request spans multiple routes, start with project diagnosis, then add the most relevant delivery route. Do not load every reference by default.

Read the full file on GitHub · 109 lines

Files

What ships with it

6 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. 13d ago First seen · 109 lines · 81 tokens per session scan A 26be3c263e38

Subscribe to this mod's changes

zhuoyu-workshop is a skill published in the GitHub repository handsomeZR-netizen/zhuoyu-workshop-skill (52 stars, last pushed 4mo ago), licensed MIT. It adds 81 tokens to every session and 1,245 once invoked, about $0.0004 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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