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 eiway112/prefab-interior-skills --skill _-_acegit clone --depth 1 https://github.com/eiway112/prefab-interior-skillsWrote 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/eiway112/prefab-interior-skills/_-_ace)<a href="https://agentmods.dev/skills/eiway112/prefab-interior-skills/_-_ace"><img src="https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/_-_ace/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/eiway112/prefab-interior-skills/_-_ace"><img src="https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/_-_ace.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 | $0.00076 | $0.02113 |
| Opus 5 | $0.00038 | $0.01056 |
| Sonnet 5 | $0.00015 | $0.00423 |
| Haiku 4.5 | $0.00008 | $0.00211 |
Grade A, and why
acoustic-calculation-engine 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- acoustic-calculation-engine — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACE — 装配式装修隔声计算引擎
一、技能标识与角色定位
| 项目 | 定义 |
|---|---|
| 技能标识 | ACE |
| 技能名称 | acoustic-calculation-engine |
| 定位 | 独立补充技能——通用隔声计算基础设施 |
| 核心原则 | 底层物理模型通用化,上层评价量和构造规则由各调用方技能注入 |
| 输出性质 | 专业估算,非实验室检测值、非现场实测值 |
ACE 不直接面向终端用户。它是被隔墙(PW)、楼地面(FL)、吊顶(CL)三个领域技能调用的计算后端,通过标准化接口(IC-03/IC-08/IC-09)接收构造参数、返回估算结果和风险识别。
二、能力边界
ACE 提供以下计算能力
| 编号 | 能力 | 物理模型 | 适用场景 |
|---|---|---|---|
| C1 | 质量定律估算 | M1 | 所有板材构造的空气声隔声基础估算 |
| C2 | 吻合效应分析 | M2 | 所有薄板构造的吻合谷风险识别 |
| C3 | MSM 共振频率与空腔增益 | M3 + M4 | 双层板+空腔构造(龙骨隔墙、隔声吊顶) |
| C4 | 撞击声改善量估算 | M5 | 浮筑地面、楼面垫层 |
| C5 | 声桥/缝隙风险评估 | M6 | 所有构造的节点风险识别 |
| C6 | 敏感性分析 | M1-M6 | 关键参数变化对结果的影响趋势 |
ACE 不做以下事情
- 不做"是否满足标准限值"的合规判断——该判断由调用方基于各自 A1 性能指标表完成
- 不替代实验室检测报告或现场实测——输出始终标注"专业估算"
- 不处理超出适用边界的构造——返回"超出模型适用范围"
- 不覆盖现场侧向传声、门窗薄弱构件、施工质量离散等不可建模因素
- 不包含任何标准限值,保持纯技术计算定位
三、接口契约摘要
ACE 通过三组接口契约被调用,每组契约是通用 ACE-IN/ACE-OUT 在特定场景下的实例化:
| 契约 | 调用方向 | 场景 | 评价量 |
|---|---|---|---|
| IC-03 | PW → ACE | 隔墙空气声隔声 | Rw+C / Rw+Ctr / DnT,w+C |
| IC-08 | FL → ACE | 楼地面撞击声隔声 | Ln,w / ΔL |
| IC-09 | CL → ACE | 吊顶空气声隔声 | Rw+C / Rw+Ctr |
通用输入结构(ACE-IN 三层架构)
- 调用方标识层:技能标识 + 计算类型 + 评价量
- 构造描述层:构造类型 + 板材层 + 空腔层 + 支撑/连接系统 + 密封方式
- 计算选项层:输出详细度 + 频率范围
各调用方的最小参数集详见 interface-contracts.md 对应契约。参数不足时 ACE 返回"参数不足,无法执行有效计算"并列出缺失字段。
通用输出结构(ACE-OUT)
计算结果
├─ 隔声估算区间 {下限, 上限, 评价量, 置信度}
└─ 频段分析 [{中心频率, 估算隔声量, 吻合谷标记}]
风险识别
├─ 吻合效应风险 {等级, 风险频率范围, 说明}
├─ 声桥风险等级 {等级, 风险点, 说明}
├─ 密封评估 {结论, 依据, 改进建议}
└─ 构造合理性意见 {结论, 风险点, 优化方向}
敏感性分析(标准/详细模式)
关键假设说明
适用边界声明
超出范围提示(如有)
四、红线体系
完整注册信息见 redlines-registry.md §八。以下为行为指令摘要。
P0 计算安全红线(2 条,不可违反)
| 编号 | 行为指令 |
|---|---|
| ACE-R-P0-1 | 输出只能是"专业估算"。禁止表述为实验室检测值或现场实测值。触发后立即更正并提示需检测报告确认。 |
| ACE-R-P0-2 | 输入超出模型适用范围时,禁止继续给出确定数值。返回"超出适用范围",列出缺失信息和人工评估建议。 |
P1 计算方法红线(3 条)
| 编号 | 行为指令 |
|---|---|
| ACE-R-P1-1 | 必须识别声桥风险:龙骨刚性连接、贯通构件、节点缺陷等须纳入风险提示,输出声桥风险等级和改进建议。 |
| ACE-R-P1-2 | 必须评估密封风险:隔声密封不足会显著削弱构造性能,须输出密封评估,不得只报理论隔声量。 |
| ACE-R-P1-3 | 禁止替代主技能做合规判断:不判断是否满足标准限值,只做估算结果和风险说明。合规判断由发起方基于 A1/B2 完成。 |
What ships with it
3 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.
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 · 148 lines · 76 tokens per session scan A 7e88da2ce7dc
acoustic-calculation-engine is a skill published in the GitHub repository eiway112/prefab-interior-skills (4 stars, last pushed 8d ago), licensed MIT. It adds 76 tokens to every session and 2,113 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 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…
auditing-subgroup-fairness
Audit an OpenMed NER or de-identification model for performance disparities across demographic subgroups (sex, age band, race/ethnicity when available) using openmed.eval.fairnessreport. Use when the user wants per-subgroup recall and leakage, wants to check whether de-identification under-protects a group, wants to…