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.
git clone --depth 1 https://github.com/K-13ROBOT/HFSS_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/commands/k-13robot/hfss_mcp/hfss-tune)<a href="https://agentmods.dev/commands/k-13robot/hfss_mcp/hfss-tune"><img src="https://agentmods.dev/badge/commands/k-13robot/hfss_mcp/hfss-tune/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/commands/k-13robot/hfss_mcp/hfss-tune"><img src="https://agentmods.dev/badge/commands/k-13robot/hfss_mcp/hfss-tune.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 | $0.00000 | $0.00260 |
| Opus 5.5 | $0.00000 | $0.00104 |
| Sonnet 5.5 | $0.00000 | $0.00052 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
hfss-tune 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 yesterday.
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
HFSS 优化:指标不达标,去调
读这两份,严格按它们执行:
~/.claude/skills/hfss-design/SKILL.md—— 常驻约定。其中「卡住了怎么办」那一节定义了什么时候必须停手, 以及"一轮"怎么数、未达标项怎么列。照它执行,本命令不复述。~/.claude/skills/hfss-design/flow/tuning.md—— 调参流程卡。
⚠️ 调参前先用更严的网格校准一次(偏移<1% 才算网格够用,否则调出来的全是假的);多谐振结构第一次不达标就先看电流
步骤顺序、每步的判据和代价都在流程卡里,本命令不复述(复述了就会和卡漂移)。
调不动、或根本不知道为什么不工作 → 按核心约定里的退出条件转
flow/diagnose-current.md 看机理。
用户的要求:
$ARGUMENTS
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.
- yesterday Changed · +1 lines e278ef4a3f92
- 2d ago First seen · 20 lines · 0 tokens per session scan A 9136f8d96f0c
hfss-tune is a command published in the GitHub repository K-13ROBOT/HFSS_MCP (8 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 260 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 2026-10-25.
Other commands, from other repositories
ruview-app
Run a RuView sensing application — presence, vitals, pose, sleep, environment mapping, MAT, point cloud, or a novel RF app.
rvcsi-nexmon
Nexmon CSI helpers — inspect a nexmoncsi .pcap, decode a Broadcom chanspec, or list the known Nexmon chips / Raspberry-Pi models.
kshana-fit-imu
Fit hybrid and fusion sensor parameters from a stationary IMU log via the kshana-mcp server.
hyperbolic-space
Install (if needed) and run the hyperbolic-space cog on the paired seed.
cross-validate-sensors
Byzantine-fault detection for the emissions network: cross-check each sensor against an independent reference and flag the ones that are lying before any of their data is trusted.
checklist
Generate a custom checklist for the current feature based on user requirements.