multisim-write-lab-report

multisim-write-lab-report is a skill for Claude Code, Codex from yxy050208/multisim-mcp. It costs 44 tokens per session (393 once invoked), scanned A, original, MIT.

A guide for writing bilingual Multisim experiment reports from registered experiment results. Multisim is software for designing and simulating electronic circuits.

In plain words
What is it for?
Use it to create lab reports, design records, reproducibility packages, or formal HTML and PDF documents with procedures, data, comparisons, verification, limitations, and conclusions.
Why use it?
It helps keep reports tied to measured evidence instead of invented values, while separating facts, calculations, and engineering judgments.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create lab reports, design records, reproducibility packages, or formal HTML and PDF documents with procedures, data, comparisons, verification, limitations, and conclusions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yxy050208/multisim-mcp/multisim-write-lab-report
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 yxy050208/multisim-mcp --skill multisim-write-lab-report
Clone the repo
git clone --depth 1 https://github.com/yxy050208/multisim-mcp

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 multisim-write-lab-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/yxy050208/multisim-mcp/multisim-write-lab-report/github.svg)](https://agentmods.dev/skills/yxy050208/multisim-mcp/multisim-write-lab-report)
Your own site
<a href="https://agentmods.dev/skills/yxy050208/multisim-mcp/multisim-write-lab-report"><img src="https://agentmods.dev/badge/skills/yxy050208/multisim-mcp/multisim-write-lab-report/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 multisim-write-lab-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/yxy050208/multisim-mcp/multisim-write-lab-report"><img src="https://agentmods.dev/badge/skills/yxy050208/multisim-mcp/multisim-write-lab-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 393 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 $0.00044 $0.00393
Opus 5 $0.00022 $0.00197
Sonnet 5 $0.00009 $0.00079
Haiku 4.5 $0.00004 $0.00039

Measured 10d ago against content hash bdfbaa25337b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

multisim-write-lab-report 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 10d 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.

mcp_server/multisim_mcp/harness_skills/multisim-write-lab-report/SKILL.md · 29 lines

What it actually says

撰写 Multisim 实验报告

只使用已注册实验的证据。工具名为 Multisim MCP 原始名;Harness 通常添加 mcp__multisim__ 前缀。

  1. 调用 get_experiment_summarylist_experiment_artifacts
  2. 分页读取 reportnetlistcommandsdataverification 中实际需要的 文本。不得编造缺失测量,也不要在上下文内请求 PDF、PNG、raw 或 .ms14
  3. 报告包含:目的、设计要求、原理、器件与参数、分析设置、步骤、关键数据、 理论对比、误差、验证结果、异常、局限、结论和复现产物 SHA-256。
  4. 将事实、计算结果和工程判断分开。所有 PASS/FAIL 引用验证证据;不支持的指标 标为“未验证”。
  5. 用户需要正式文件时调用 export_formal_experiment_report;用户需要把文件复制到 其他位置时再调用 export_experiment_artifact,且不得绕过批准的导出根目录。

默认中文为主并附英文摘要;用户指定英文时反向处理。报告中的本地文件引用应来自 工具返回值,不猜测路径。

English summary

Write a traceable report from registered artifacts, measured summaries, and verification evidence. Keep facts, calculations, and engineering judgment separate, and use formal export tools only when requested.

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. 10d ago First seen · 29 lines · 44 tokens per session scan A bdfbaa25337b

Subscribe to this mod's changes

multisim-write-lab-report is a skill published in the GitHub repository yxy050208/multisim-mcp (9 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 393 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 2026-08-31.

Related

Other skills, from other repositories

data-analysis

DuckDB-powered analytical engine for large data dumps (JSON, CSV, Parquet). Ingest → Profile → Query → File insights.

winstonkoh87/Athena-Public · 30 tokens

voice-service

Voice Service fuer BACH - STT, TTS und Wake-Word-Erkennung. Portiert und erweitert aus BachForelle voice.py + ears.py. Version 1.1: Erweitert um File-Export und Piper-TTS.

ellmos-ai/bach · 53 tokens

presentation-maker

End-to-end presentations from a topic — outline -> JSON spec -> 16:9 HTML slides (with mandatory Playwright verification) and real .pptx (full 14-type design system), plus strategy presets, PDF export, and deck-quality audits. One command per stage.

bestdeejay-design/agent-skills · 59 tokens

DokuZentrum Service

Core Document Processing Service for BACH (Integration of DokuZentrum).

ellmos-ai/bach · 21 tokens

presentation-craft

Router for high-quality presentations. Orchestrates specialist sub-skills per stage: narrative (docs-product + seo-content) -> visual direction (frontend-design-taste) -> build (presentation-maker) -> UI/UX audit (frontend-perfection + deckaudit) -> export (presentation-maker pptx/pdf). Encodes a research-backed…

bestdeejay-design/agent-skills · 106 tokens

chronos

Documentation Timekeeper — 5 AI agents (Chronos, Censor, Dewey, Veles, Canon) for documentation integrity. Checks: duplicates, broken links, missing required docs, orphans, classification (L1-L6), stale dates. Use when: "check documentation", "docs audit", "audit docs", "docs integrity", "find duplicates in docs"…

bestdeejay-design/agent-skills · 118 tokens