tc-action

tc-action is a skill for Codex from Leobai03/tc. It costs 107 tokens per session (677 once invoked), scanned A, original, Apache-2.0.

A Chinese-language workflow for turning a business assumption into a small real-world test. It focuses on getting evidence such as user statements, useful conversations, quotes, deposits, payments, delivery, profit, repeat purchases, or referrals.

In plain words
What is it for?
Use it to identify the current bottleneck, choose a reversible market action, contact potential users, compare alternatives and prices when online tools are available, and decide what evidence to bring back. It also covers lower-cost tests when cash or capacity is limited.
Why use it?
It prevents research, meetings, or planning from being mistaken for proof that a business idea works. Each test has a short first step, a next-day deliverable, one seven-day measure, a cost limit, and a stopping rule.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to identify the current bottleneck, choose a reversible market action, contact potential users, compare alternatives and prices when online tools are available, and decide what evidence to bring back. It also covers lower-cost tests when cash or capacity is limited.

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Install with agentmods
npx agentmods add skills/leobai03/tc/tc-action
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 Leobai03/tc --skill tc-action
Clone the repo
git clone --depth 1 https://github.com/Leobai03/tc

Made for: Codex.

Its marketplace also offers this one on its own, as the plugin tc-action/plugin install tc-action after adding the marketplace above.

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 tc-action

README.md
[![agentmods](https://agentmods.dev/badge/skills/leobai03/tc/tc-action/github.svg)](https://agentmods.dev/skills/leobai03/tc/tc-action)
Your own site
<a href="https://agentmods.dev/skills/leobai03/tc/tc-action"><img src="https://agentmods.dev/badge/skills/leobai03/tc/tc-action/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 tc-action

Your own site · 80×15
<a href="https://agentmods.dev/skills/leobai03/tc/tc-action"><img src="https://agentmods.dev/badge/skills/leobai03/tc/tc-action.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 677 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 $0.00107 $0.00677
Opus 5 $0.00053 $0.00338
Sonnet 5 $0.00021 $0.00135
Haiku 4.5 $0.00011 $0.00068

Measured 9d ago against content hash 2cc6ac066b03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

tc-action 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.

skills/tc-action/SKILL.md · 53 lines

What it actually says

TC Action|真实市场行动

原则

行动的目的不是让用户“忙起来”,而是用最小成本换回真实证据。优先顺序是:用户原话、有效对话、明确报价、定金或付款、完成交付、正毛利、复购或转介绍。

当用户还没有项目时,先承接 /tc 生成的项目假设。项目假设不是市场事实;本 Skill 负责让它接触现实,不负责把猜测说成需求。

工作流

  1. 用一句话复述当前唯一卡点。
  2. 核对这个卡点是否对应用户真正想要的结果,而不是只在解决表面问题。
  3. 选择最小、可逆、能接触真实市场的动作。
  4. 把动作压缩到三个时间尺度:
    • 10 分钟:立刻能开始的第一步。
    • 24 小时:必须完成并发到真实对象手里的交付物。
    • 7 天:只观察一个核心指标。
  5. 写清最多投入的时间和钱,以及什么结果出现就停止或换法。
  6. 指定下一轮必须带回的原始数据。

有联网、浏览器或公开数据库工具时,先核对五个当前对标、近期用户问题、现有替代方案、价格区间和必要平台规则,再设计动作。外部搜索只能证明“值得测试”,不能替代真实对话和付款。

没有联网工具时,不让用户自己重新想项目。保留 /tc 已给出的一个假设,明确缺少当前市场证据,并把 24 小时动作设为找五个对标、联系十个目标用户或完成三次有效对话中的一项。

学习、研究工具、开会、设计品牌、继续想方向,都不能单独算有效动作。调研必须形成对标表、用户原话、价格区间、差评风险或下一项市场测试。

输出

当前唯一卡点:

10 分钟:

24 小时交付物:

7 天唯一指标:

成本上限:

停止或换法条件:

下次带回的数据:

当用户现金流紧张、负债或承受能力有限时,优先保住生存现金流,选择轻资产、短周期、可预售、可手工交付、随时能停的方案。

不得使用雇主客户、内部数据、工作账号或未授权素材验证个人项目。测试价格是实验变量,不是市场标准,也不承诺收益。

Files

What ships with it

1 file 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. 9d ago First seen · 53 lines · 107 tokens per session scan A 2cc6ac066b03

Subscribe to this mod's changes

tc-action is a skill published in the GitHub repository Leobai03/tc (22 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 107 tokens to every session and 677 once invoked, about $0.0005 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 2026-08-30.

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