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 frank666199/frank-presales-skills --skill 009-frank-aigit clone --depth 1 https://github.com/frank666199/frank-presales-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/frank666199/frank-presales-skills/009-frank-ai)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/009-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/009-frank-ai/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/frank666199/frank-presales-skills/009-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/009-frank-ai.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 | $0.00000 | $0.00605 |
| Opus 5 | $0.00000 | $0.00302 |
| Sonnet 5 | $0.00000 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
009-Frank-AI项目风险预判工具 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 13d 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
Skill: Frank-AI项目风险预判工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度1 - AI售前工具应用
- Description: AI分析G/B端/AI项目售前风险，输出规避方案
When to Use
项目评估阶段、投标决策前、方案定稿前使用
Input Requirements
- 项目基本信息
- 客户需求清单
- 竞争态势描述
- 公司资源情况
Workflow
- AI从技术、商务、交付、合规、竞争5个维度扫描风险
- 评估每个风险的发生概率和影响程度
- 生成风险矩阵（概率×影响）
- 针对高风险项输出规避/转移/减轻/接受策略
- 生成风险监控清单和预警触发条件
- 输出风险评估报告
Output Format
风险评估报告 + 风险矩阵 + 风险应对计划
Output Template
风险编号 | 风险类别 | 风险描述 | 概率 | 影响 | 等级 | 应对策略 | 预警条件
Example
| 字段 | 内容 |
|---|---|
| R001 | 技术风险 |
Constraints
- 风险描述具体可操作
- 应对策略可落地
- 不得隐瞒已知风险
Quality Criteria
- 风险维度覆盖完整
- 评估客观公正
- 应对策略具体可行
Applicable Scenarios
- G端政府项目: 适用
- B端企业项目: 适用
- AI智能项目: 适用
Usage
方式1：Claude Code / Cursor / Codex
将本SKILL.md内容复制到Agent技能配置区，通过技能名触发。
方式2：飞书妙搭 / 扣子
将SKILL.md内容粘贴到Agent提示词配置区，设置触发词为技能名。
方式3：独立使用
直接复制本文件内容到AI对话中，按Workflow步骤执行。
Frank专属售前技能 | 维度1: AI售前工具应用 | 编号: 009 基于"Frank售前解决方案Skills工具集 v1.0"与实操提示词融合优化生成
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.
- 13d ago First seen · 89 lines · 0 tokens per session scan A 02eec916f62f
009-Frank-AI项目风险预判工具 is a skill published in the GitHub repository frank666199/frank-presales-skills (11 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 605 tokens. 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 2026-08-30.
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