012-Frank-AI项目报价辅助工具

012-Frank-AI项目报价辅助工具 is a skill for Claude Code, Codex from frank666199/frank-presales-skills. It costs 0 tokens per session (601 once invoked), scanned A, original, MIT.

A Chinese-language tool for estimating the cost and price range of an AI project. It combines estimated work, staff costs, purchased hardware and software, services, risk, overhead, and profit.

In plain words
What is it for?
Use it during solution planning or bidding to estimate work by role, total project costs, pricing ranges, and a suggested pricing strategy.
Why use it?
It breaks a proposed project into cost items and shows low, recommended, and high price ranges, making pricing decisions easier to review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it during solution planning or bidding to estimate work by role, total project costs, pricing ranges, and a suggested pricing strategy.

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Install with agentmods
npx agentmods add skills/frank666199/frank-presales-skills/012-frank-ai
Install

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.

Any agent
npx skills add frank666199/frank-presales-skills --skill 012-frank-ai
Clone the repo
git clone --depth 1 https://github.com/frank666199/frank-presales-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for 012-Frank-AI项目报价辅助工具

README.md
[![agentmods](https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/012-frank-ai/github.svg)](https://agentmods.dev/skills/frank666199/frank-presales-skills/012-frank-ai)
Your own site
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/012-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/012-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.

agentmods 80×15 button for 012-Frank-AI项目报价辅助工具

Your own site · 80×15
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/012-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/012-frank-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 601 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00601
Opus 5 $0.00000 $0.00300
Sonnet 5 $0.00000 $0.00120
Haiku 4.5 $0.00000 $0.00060

Measured 12d ago against content hash dbf9bb8ffb2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

012-Frank-AI项目报价辅助工具 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 12d 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.

维度1-AI-Presales-Tools/012-Frank-AI项目报价辅助工具/SKILL.md · 89 lines

What it actually says

Skill: Frank-AI项目报价辅助工具

Profile

  • Author: Frank
  • Version: 1.0.0
  • Language: 中文
  • Category: 维度1 - AI售前工具应用
  • Description: 结合项目需求,智能测算AI项目成本与报价区间

When to Use

方案编制阶段、投标报价决策时使用


Input Requirements

  • 项目需求清单
  • 人力成本标准
  • 软硬件采购清单
  • 竞品报价参考(可选)

Workflow

  1. AI将需求拆解为工作项,估算人天工作量
  2. 按角色计算人力成本(PM/架构师/开发/测试/实施)
  3. 汇总软硬件采购成本和服务成本
  4. 加入管理费用、风险系数、利润率
  5. 生成成本明细表和报价区间(最低/推荐/最高)
  6. 输出报价策略建议

Output Format

成本明细表 + 报价区间分析 + 报价策略建议


Output Template

成本项 | 工作量(人天) | 单价(元/天) | 小计(元) | 占比 | 备注

Example

字段 内容
后端开发 60

Constraints

  • 成本估算标注置信度
  • 利润率不超过行业合理范围
  • 报价含税明确标注

Quality Criteria

  • 成本分解到工作项级
  • 报价区间合理
  • 策略建议可落地

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: 012 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

Changes

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.

  1. 12d ago First seen · 89 lines · 0 tokens per session scan A dbf9bb8ffb2f

Subscribe to this mod's changes

012-Frank-AI项目报价辅助工具 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 601 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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