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.
npx skills add yxy050208/multisim-mcp --skill multisim-compare-experimentsgit clone --depth 1 https://github.com/yxy050208/multisim-mcpWrote 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.
[](https://agentmods.dev/skills/yxy050208/multisim-mcp/multisim-compare-experiments)<a href="https://agentmods.dev/skills/yxy050208/multisim-mcp/multisim-compare-experiments"><img src="https://agentmods.dev/badge/skills/yxy050208/multisim-mcp/multisim-compare-experiments/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.
<a href="https://agentmods.dev/skills/yxy050208/multisim-mcp/multisim-compare-experiments"><img src="https://agentmods.dev/badge/skills/yxy050208/multisim-mcp/multisim-compare-experiments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.00380 |
| Opus 5 | $0.00022 | $0.00190 |
| Sonnet 5 | $0.00009 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
multisim-compare-experiments 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.
What it actually says
比较 Multisim 实验
需要两个已注册实验 ID。工具名为 Multisim MCP 原始名；Harness 通常添加
mcp__multisim__ 前缀。
- 分别调用
get_experiment_summary，确认两个 ID 可用并记录产物哈希。 - 按需调用
read_experiment_artifact分页读取netlist、commands、report、verification或data。只读取解释差异所需的最小内容。 - 比较电路拓扑与参数、分析命令、采样点、关键列的首值/末值/最小值/最大值/均值、 验证状态和产物 SHA-256。
- 区分设计变化、求解设置变化、采样差异和证据缺失。不要把相关性写成因果关系。
- 如果两次实验的分析条件不可比，明确标记“不可直接比较”，并说明需要怎样的复测。
最终给出紧凑表格，至少包含指标、实验 A、实验 B、差值/变化率、证据和结论，随后 列出最可能原因与仍未验证的假设。除非用户明确要求，不导出二进制产物。
English summary
Compare two registered experiments using bounded summaries and only the text pages needed to explain topology, settings, measurements, verdicts, and hashes. Flag incompatible test conditions instead of forcing a conclusion.
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.
- 10d ago First seen · 27 lines · 43 tokens per session scan A f16511ef4a34
multisim-compare-experiments is a skill published in the GitHub repository yxy050208/multisim-mcp (9 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 380 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.
Other skills, from other repositories
sovereign-economics-engine
Unified business model evaluator, client filter, pricing engine, and distribution architect. Absorbs 31 business + 8 marketing + 13 content + 2 acquisition protocols.
therapeutic-ifs
Unified inner work engine: Schema deconstruction (diagnosis) + IFS therapy (treatment). Absorbs: schema-deconstruction.
agentic-code-orchestrator
Unified codebase manipulation, AI deployment, data analysis, and academic delivery engine. Absorbs 6 coding protocols + data-analysis + academic-delivery + spec-driven-dev.
dashboard-builder
Build self-contained interactive HTML dashboards with charts, filters, and tables. Generates a single browser-openable file — no server or dependencies required.
bionic-decision-engine
Unified mathematical arbitrator for all resource allocation decisions — money, time, energy, relationships. Absorbs 46 decision protocols + 24 strategy protocols into one dense engine.
red-team-review
Unified adversarial review: v4.3 Strategic Matrix (MTA-004). 7-phase framework: Priors → Rubric → Adversarial Lenses → SWOT/TOWS → MCDA Decision Engine → Blind Spot/Kill Switch → Executive Summary. Absorbs: bias-detector.