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 CookiesHaha/ash-claude-skills --skill param-xlsx-syncgit clone --depth 1 https://github.com/CookiesHaha/ash-claude-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/cookieshaha/ash-claude-skills/param-xlsx-sync)<a href="https://agentmods.dev/skills/cookieshaha/ash-claude-skills/param-xlsx-sync"><img src="https://agentmods.dev/badge/skills/cookieshaha/ash-claude-skills/param-xlsx-sync/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/cookieshaha/ash-claude-skills/param-xlsx-sync"><img src="https://agentmods.dev/badge/skills/cookieshaha/ash-claude-skills/param-xlsx-sync.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 | $0.00122 | $0.02884 |
| Opus 5 | $0.00061 | $0.01442 |
| Sonnet 5 | $0.00024 | $0.00577 |
| Haiku 4.5 | $0.00012 | $0.00288 |
Grade A, and why
param-xlsx-sync 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
param 表更新工作流(xlsx → md)
适用场景
- "把这个 xlsx 转成 md,更新 param_xxx.md"
- "对比一下 param 表和 workstation-review,看有没有不一致"
- "我在 xlsx 里用删除线标了要删的记录,帮我处理"
- "把这次改动记录到 param_change_history.md"
定位
处理结构化设备参数表(机器人/容器/货架/充电桩/工作站等)从 Excel 到 Markdown 数据文件的同步,典型用于 HPS3/HPC 等产品线选型算法的数据源维护(如 business-flow-config-design.md 类文档 §4 会直接引用这些 param 表)。不负责 PRD 正文撰写,那是 write-a-prd / lark-workflow-prd-sync 的职责——如果 param 更新最终要反映到 PRD 正文,本 skill 只把结论准备好,落到哪份规格文档由用户决定。
前置
- Python3 +
openpyxl(读取带样式的 xlsx,用于识别删除线)+pandas(转 Markdown 表格,to_markdown依赖tabulate) - 目标
.md文件已存在且是「## sheet名」分节结构(按 sheet 名对齐替换整个分节,不做逐行 diff 合并) - lark-cli(Step 4 同步飞书
param_change_history文档时需要;参考../lark-shared/SKILL.md做认证) - 项目里需要知道
param_change_history对应的飞书文档 token/URL(通常记在本地param_change_history.md的 frontmatter,或直接问用户要)
固定四步流程
Step 1: xlsx → md(清除删除线记录)
│
▼
Step 2: 与规格文档(workstation-review 等)逐条比对差异
│
▼
Step 3: 整理更新清单 → 用户审批 ──[驳回/修改]──┐
│ │
[批准] │
│◄─────────────────────────────────────────┘
▼
写入 param_hps3.md / param_hps5.md(或对应 HPC 文件)
│
▼
Step 4: 变更记录写入本地 param_change_history.md + 同步 append 到飞书对应文档
关键约束:Step 1/2 只做只读分析,不修改任何 param_*.md。只有 Step 3 用户明确批准后,才允许写入。 这是与 v1.0 版本最大的区别——旧版本在生成差异后即直接写入,新版本强制过一道人工审批闸门再落盘。
Step 1 — xlsx → md:清除所有带删除线的记录
不能只用 pandas.read_excel(会丢失删除线等格式信息)。用 openpyxl.load_workbook(path, data_only=True) 逐 sheet、逐 cell 读值,同时读 cell.font.strike:
import openpyxl
wb = openpyxl.load_workbook(xlsx_path, data_only=True)
for name in wb.sheetnames:
ws = wb[name]
header = [c.value for c in ws[1]]
rows = []
for row in ws.iter_rows(min_row=2):
values = [c.value for c in row]
strikes = [bool(c.font and c.font.strike) for c in row]
rows.append((values, strikes))
处理规则:只要一行里存在带删除线的非空单元格,这一行就整体从转换结果里删除(不再区分"整行删除线"与"单元格级删除线"两种情况——这是本版本相对 v1.0 的简化:v1.0 曾对单元格级删除线做"保留整行仅备注废弃"的特殊处理,但实践中容易和用户的真实意图产生分歧,v2.0 统一按用户可见的删除线视觉信号执行删除,删除范围以什么记录为准由 Step 2/3 的清单向用户说明并接受审批)。
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.
- 11d ago First seen · 153 lines · 122 tokens per session scan A 3536e607872d
param-xlsx-sync is a skill published in the GitHub repository CookiesHaha/ash-claude-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 122 tokens to every session and 2,884 once invoked, about $0.0006 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.
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