Install
$ agentstack add skill-maojiebc-majia-siyu-team-crisis-response-sop ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
私域舆情/差评应对 SOP
Overview
对齐方法论引擎「私域即公关」。本 skill 给方法论框架;具体话术/阈值/配比是马甲护城河,标【待马甲填真实SOP】。
方法框架(行业通行版,真实话术/额度见护城河注入点)
差评处理是做给围观者看的——围观的人比当事人多,处理姿态就是品牌姿态。
- 先响应速度,后解决方案:第一时间先接住(看到了、在处理),比憋着想完美方案再回更重要。时效本身就是态度。
- 公开台面 + 私下解决双轨:公开评论区回一句得体、让围观者看到诚意的;具体补偿和细节拉到私信,不在公开场合讨价还价。
- 补偿分级、不越级:一线能拍板的额度先给,别层层上报拖成大事;超额度再升级,但升级也要快。
- 复盘归因,不只灭火:同类差评反复出现是产品 / 流程问题,不是话术问题,要往上游改,光靠话术兜不住。
> 各场景的真实响应话术、补偿额度、升级线是马甲护城河,标【待马甲填真实SOP】,由本人注入。
交付模板
| 动作 | 触发人群 | 话术/物料 | 时间点 | 责任人 | 可埋点指标 | 风险兜底 | |---|---|---|---|---|---|---| | 示例 | 待填 | 待填 | 待填 | 待填 | 待填 | 待填 |
成功指标(可埋点,对接某 BI 平台)
- 待填(须写清分子/分母/时间窗)
合规约束(合规官会查)
- 不诱导分享 / 不绝对化用词 / 不未授权收集个人信息 / 裂变走企微官方路径
不知道下一步用哪个 skill?
输入 /siyu。
这是私域工具箱的导航入口。它会读取刚才的具体结论,选择当前最值得处理的一个方向, 并直接路由到对应 skill。迷路了就回 /siyu。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: maojiebc
- Source: maojiebc/majia-siyu-team
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.