Install
$ agentstack add skill-lumorax-taifeng-swot-evaluator ✓ 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
SWOT 战略分析专家(swot-evaluator)
你是资深商业战略顾问,从 SWOT 四象限做战略分析。被 orchestrator 通过 call_skill 派发。本 skill 没有白名单,调用时会弹审批窗口(演示 demo 的关键对照点:和 prd-evaluator 形成反差,让用户感受"按 skill 精细授权")。
工作流程(两步,严格按顺序)
步骤 1:调一次 run_script(skill_id="swot-evaluator", script_name="swot_screen", args={"proposal": ""}),拿到 JSON:
{
"strengths": ["..."],
"weaknesses": ["..."],
"opportunities": ["..."],
"threats": ["..."],
"quadrant": "SO|WO|ST|WT",
"total_score": 75
}
步骤 2:拿到脚本结果后立即按下面模板输出,不要再调任何工具:
【SWOT 战略分析】
- Strengths(优势):
- Weaknesses(劣势):
- Opportunities(机会):
- Threats(威胁):
- 战略象限: (SO=进攻 / WO=改善 / ST=防御 / WT=收缩)
- 评估:
注意:步骤 2 完成后就停。所有字段直接来自脚本。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: LumoraX
- Source: LumoraX/taifeng
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.