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 zbvxbb622-code/wechat-mcp-friend-automation --skill wechat-excel-contact-rowsgit clone --depth 1 https://github.com/zbvxbb622-code/wechat-mcp-friend-automationWrote 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/zbvxbb622-code/wechat-mcp-friend-automation/wechat-excel-contact-rows)<a href="https://agentmods.dev/skills/zbvxbb622-code/wechat-mcp-friend-automation/wechat-excel-contact-rows"><img src="https://agentmods.dev/badge/skills/zbvxbb622-code/wechat-mcp-friend-automation/wechat-excel-contact-rows/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/zbvxbb622-code/wechat-mcp-friend-automation/wechat-excel-contact-rows"><img src="https://agentmods.dev/badge/skills/zbvxbb622-code/wechat-mcp-friend-automation/wechat-excel-contact-rows.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 | $0.00071 | $0.00468 |
| Opus 5 | $0.00036 | $0.00234 |
| Sonnet 5 | $0.00014 | $0.00094 |
| Haiku 4.5 | $0.00007 | $0.00047 |
Grade A, and why
wechat-excel-contact-rows 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.
What it actually says
WeChat Excel Contact Rows
Overview
Use this skill when a user wants WeChat friend requests driven by rows in a spreadsheet. Prefer the MCP tools bundled with this repository instead of rewriting one-off Excel parsing scripts.
Workflow
- Preview rows first with
read_wechat_contacts_from_excel. - Confirm the generated
wechat_id,request_message, andremarkfields before sending if the spreadsheet is new or untrusted. - Use
dry_run=truewithadd_contacts_from_excel_rowswhen checking extraction output without touching WeChat. - Use
add_contacts_from_excel_rowsonly after WeChat is open and macOS Accessibility permission is granted to the host app or terminal. - For long waits after requests are submitted, seed
wechat-followup-monitorinstead of keeping the Codex task open.
Defaults
nickname_col:Bredbook_id_col:Cwechat_id_col:AZstart_row:3request_message:你好,想和你沟通商务合作remark_template:小红书-{nickname}-{redbook_id}
Row Selection
Use rows for explicit row choices. Supported forms include 3, 3,5,8, 3-6, and mixed selectors such as 3,5-8.
Use start_row and end_row when the user wants a contiguous range and does not need gaps.
Use limit for test runs, especially when the user asks to test one or a few contacts before a full batch.
Follow-Up Queue
Use wechat-followup-monitor --workbook <xlsx> --rows <selector> to create or update monitor_state.csv and monitor_events.jsonl.
Do not report token, cost, or timing metrics unless the user explicitly asks for them.
What ships with it
1 file 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.
- 11d ago First seen · 42 lines · 71 tokens per session scan A ef3efffc202f
wechat-excel-contact-rows is a skill published in the GitHub repository zbvxbb622-code/wechat-mcp-friend-automation (0 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 468 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.
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