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 069-frankgit 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/069-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/069-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/069-frank/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/069-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/069-frank.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 | $0.00616 |
| Opus 5 | $0.00000 | $0.00308 |
| Sonnet 5 | $0.00000 | $0.00123 |
| Haiku 4.5 | $0.00000 | $0.00062 |
Grade A, and why
069-Frank-企业项目风险预判工具 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 9d 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.
This is a copy
80% identical to 010-Frank-AI方案降重原创工具 — 52 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Skill: Frank-企业项目风险预判工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度6 - B端企业项目专精
- Description: 预判B端项目落地、预算、协作风险并规避
When to Use
B端项目评估阶段和执行阶段
Input Requirements
- 项目方案
- 客户组织情况
- 竞争态势
Workflow
- 预判落地风险:技术可行性/资源匹配/时间约束
- 预判预算风险:预算冻结/预算削减/付款延迟
- 预判协作风险:内部阻力/部门博弈/人员变动
- 预判竞争风险:竞品介入/价格战/关系变化
- 预判需求风险:需求蔓延/需求变更/期望偏差
- 针对每类风险制定规避方案
- 输出风险预判报告
Output Format
B端项目风险预判报告(含五维风险+规避方案+监控机制)
Output Template
风险编号 | 风险类别 | 风险描述 | 发生概率 | 影响程度 | 规避方案 | 监控指标
Example
| 字段 | 内容 |
|---|---|
| R003 | 协作风险 |
Constraints
- 风险基于事实判断
- 规避方案可操作
- 监控机制可执行
Quality Criteria
- 风险维度覆盖完整
- 预判准确
- 规避方案有效
Applicable Scenarios
- G端政府项目: 部分适用
- B端企业项目: 适用
- AI智能项目: 部分适用
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6: B端企业项目专精 | 编号: 069 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.
- 9d ago First seen · 89 lines · 0 tokens per session scan A b33de5e470e9
069-Frank-企业项目风险预判工具 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 616 tokens. A static security scan graded it A with 0 findings. It is 80% identical to 010-Frank-AI方案降重原创工具, differing in 52 lines, and is treated as a copy.
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