ai-opportunity-evaluation

ai-opportunity-evaluation is a skill for Codex from tranfu-labs/tranfu-skills. It costs 110 tokens per session (2,016 once invoked), scanned A, original, MIT.

A short review process for deciding whether an AI product idea is worth pursuing before writing a detailed product plan. It checks the users, current problem, frequency of use, internal value, and what capability the project would prove.

In plain words
What is it for?
Evaluating product ideas, internal tools, agents, workflows, and proposed projects, then producing a brief go-or-no-go decision card.
Why use it?
It helps avoid investing in ideas that sound interesting but do not solve a real, recurring problem or create useful reusable capability.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Evaluating product ideas, internal tools, agents, workflows, and proposed projects, then producing a brief go-or-no-go decision card.

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Install with agentmods
npx agentmods add skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation
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 tranfu-labs/tranfu-skills --skill ai-opportunity-evaluation
Clone the repo
git clone --depth 1 https://github.com/tranfu-labs/tranfu-skills

Made for: 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 ai-opportunity-evaluation

README.md
[![agentmods](https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation/github.svg)](https://agentmods.dev/skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation)
Your own site
<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation/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 ai-opportunity-evaluation

Your own site · 80×15
<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/ai-opportunity-evaluation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,016 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 $0.00110 $0.02016
Opus 5 $0.00055 $0.01008
Sonnet 5 $0.00022 $0.00403
Haiku 4.5 $0.00011 $0.00202

Measured 12d ago against content hash f907944342eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-opportunity-evaluation 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.

own-skills/ai-opportunity-evaluation/SKILL.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI机会立项判断

项目能不能做,不看它能不能开发出来,而看它能不能解决真实问题,并沉淀 TranFu 的能力。

本 Skill 是 TranFu 第二阶段产品开发的立项门禁。它不是需求包装助手,而是在 PRD 和开发前,帮助团队判断一个想法是否值得继续投入。

When to use

当用户想判断一个产品想法、内部工具、Agent 想法、工作流产品或一句话项目是否值得立项时使用。典型触发短语:

  • "判断这个项目怎么样"
  • "帮我做个立项判断"
  • "这个方向能不能做"
  • "这个产品想法值不值得做"
  • "用 AI机会立项判断 Skill,帮我分析"

也适用于用户只丢出一个产品名或一句话想法,并且上下文是在讨论产品机会、内部提效、能力沉淀、对外案例或是否进入 PRD。

不适用:用户已经明确要求直接开发、修 bug、部署、写代码,或某个方向已经完成立项并明确要求输出 PRD。

工作模式

CREATE A TODO LIST FOR THE TASKS BELOW: 1) 判断信息是否足够 2) 判断真实问题 3) 判断 TranFu 价值 4) 输出立项判断卡

Step 1: 判断信息是否足够

任务:先识别用户给的是完整立项信息,还是只有一句话想法。

输入:项目名、一句话描述、背景信息、团队上下文。

输出:如果信息不足,只问 2-3 个最关键问题,不输出完整判断卡。

优先追问:

  1. 谁会高频使用?
  2. 现在怎么解决,最麻烦的地方是什么?
  3. 这个项目想验证什么能力、流程、Skill、Agent 或 SOP?

MUST 在 3 轮追问内给出立项判断卡;NEVER 进入第 4 轮追问。

若 3 轮追问后 4 项关键事实(用户 / 现解决方式 / 频率与损失 / 内部使用意愿)仍缺 ≥2 项,MUST 输出立项判断卡,结论字段写"暂不建议做",核心理由第 1 条写"关键事实不足,待补充后重审",并退出。

Step 2: 判断真实问题

任务:判断它是不是解决真实、高频、具体的问题,而不是一个随手想到的功能。

重点检查:

  • 是否说清楚目标用户。
  • 是否说清楚当前解决方式。
  • 是否说清楚痛点频率和损失。
  • 是否有内部团队愿意反复使用。

输出:保留关键事实和缺口,不要写长篇分析。

Step 3: 判断 TranFu 价值

任务:判断这个项目是否符合 TranFu 第二阶段产品开发原则。

按顺序判断:

  1. 真实问题:是不是有人真的需要?
  2. 使用频率:是不是高频问题?
  3. 内部价值:TranFu 团队会不会反复用?
  4. 验证目标:能不能验证流程、Skill、Agent 或 SOP?
  5. 沉淀价值:能不能变成官网产品、模板、案例或交付能力?
  6. 品牌风险:做出来会不会像低质 Demo,反而影响 TranFu 形象?

结论 MUST 是三档之一:

  • 建议做
  • 优化后再做
  • 暂不建议做

NEVER 使用"可以考虑" / "有一定价值" / "看情况" / "可能值得"这类模糊结论。

Step 4: 输出立项判断卡

任务:用短卡片输出判断,让团队成员一眼知道下一步。

每块 1-2 句话,核心理由最多 3 条,整体控制在一屏以内。

立项判断:建议做 / 优化后再做 / 暂不建议做

核心理由:
1. ...
2. ...
3. ...

真实问题:
...

验证目标:
...

首版范围:
...

风险提醒:
...

下一步:
...

What NOT to do

  • ❌ NEVER 直接写 PRD;仅当用户在本 Skill 完成立项判断后另行明确要求写 PRD 时,结束本 Skill 并转入 PRD 任务。
  • ❌ NEVER 把普通工具包装成战略产品,例如低配排版器、低配待办页。
  • ❌ NEVER 因为"能开发出来"就建议立项,必须看到真实问题和 TranFu 能力沉淀。
  • ❌ NEVER 输出长篇产品分析报告;除非用户显式要求详细复盘,否则默认一屏以内。
  • ❌ NEVER 一次追问 8 个问题,信息不足时只问最关键的 2-3 个。
  • ❌ NEVER 给出模糊结论,必须在三档结论中选择一个。
  • ❌ NEVER 建议做会影响 TranFu 品牌形象的低质 Demo。

示例判断

VPN智能路由平台

立项判断:建议做

核心理由:
1. 团队确实有 VPN 资源管理、分发、权限回收的问题。
2. 能验证"资源池管理 -> 可用性监控 -> 订阅分发"的关键流程。
3. 后续可以沉淀为内部网络资源管理 SOP,甚至成为对外案例。

真实问题:
团队网络资源分散,稳定性、权限和设备限制都需要统一管理。

验证目标:
验证资源统一管理、智能分发和权限回收流程。

首版范围:
先做资源录入、成员分配、订阅生成和可用性检查,不做复杂企业后台。

风险提醒:
不要一开始做成大而全平台,先跑通稳定分发闭环。

下一步:
进入 PRD。

Read the full file on GitHub · 233 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 233 lines · 110 tokens per session scan A f907944342eb

Subscribe to this mod's changes

ai-opportunity-evaluation is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 110 tokens to every session and 2,016 once invoked, about $0.0006 per session on Opus 5. 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 2026-08-31.

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