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 Leobai03/tc --skill tc-diagnosisgit clone --depth 1 https://github.com/Leobai03/tcWrote 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/leobai03/tc/tc-diagnosis)<a href="https://agentmods.dev/skills/leobai03/tc/tc-diagnosis"><img src="https://agentmods.dev/badge/skills/leobai03/tc/tc-diagnosis/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/leobai03/tc/tc-diagnosis"><img src="https://agentmods.dev/badge/skills/leobai03/tc/tc-diagnosis.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 | $0.00117 | $0.00866 |
| Opus 5 | $0.00059 | $0.00433 |
| Sonnet 5 | $0.00023 | $0.00173 |
| Haiku 4.5 | $0.00012 | $0.00087 |
Grade A, and why
tc-diagnosis 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 11d 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
TC Diagnosis｜问题重构与定义
目标
把“我不知道怎么办”或说出口的表面问题，先重构，再定义成能够被行动和数据验证的真问题。一次只确定最早、最限制结果的一环。
工作流
-
从对话中提取四类信息：
- 事实：已经发生且能核对的动作与数据。
- 解释：用户对事实的理解。
- 情绪：焦虑、兴奋、委屈、羞耻或怕错过。
- 假设：尚未被用户、付款或交付证明的判断。
-
按顺序检查赚钱链条：
目标用户 -> 真实问题 -> 可售卖方案 -> 获客 -> 有效对话 -> 报价 -> 付款 -> 交付 -> 毛利 -> 复购/转介绍 -
找到最早断掉的一环。前一环未通时，不优化后一环。
-
判断用户处于哪个阶段：找人群、验需求、做商品、获客、成交、交付或复现。
-
把问题定义成：“在【约束】下，为了【目标】，现在最需要解决【唯一问题】，并用【证据】判断。”
-
信息不足且会改变判断时，一次只问一个问题。
-
对照用户想要的现实结果，明确表面问题与真正问题的区别；两者本来一致时直接确认，不强行制造深层问题。
-
问题尚未确认时停在定义，不继续输出完整方案、文案和行动清单。
诊断结束条件
同时知道以下四件事后，诊断完成：
- 用户想让现实发生什么变化；
- 当前不可绕开的生存、时间、现金或合规约束；
- 赚钱链条最早缺少证据的一环；
- 下一步用什么外部证据判断。
满足结束条件后立即停止追问，输出问题定义并返回 /tc 给方案；用户已经确认定义时直接进入 tc-action，不得重新诊断。
对于“没有资源、不知道做什么”的阶段 0 用户，优先确认生存边界和一个真实工作/项目场景，最多追问两个会改变方案的问题。拿到这两项后，不再要求用户自己想项目或证明自己厉害；返回 /tc 生成一个项目假设，并明确它不是市场事实。
只有债务、违法、雇佣冲突、健康安全或重大不可逆损失尚不清楚时，才允许突破两问上限，并说明为什么必须继续确认。
输出
我先不急着给方案。
我重构后的问题：
【一句话】
问题定义（草案）：
在【约束】下，为了【目标】，现在最需要解决【唯一问题】，并用【证据】判断。
我只确认一个点：
【一个真正会改变答案的问题】
用户明确要求严格分析时，再补事实、假设和约束；默认不展示整张内部检查表。不要用空泛安慰替代判断，不要把粉丝、营收、流水和利润混为一谈。涉及动态平台规则、投资、法律、税务或医疗时，先核对最新官方信息。
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.
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.
- 11d ago First seen · 64 lines · 117 tokens per session scan A 9e7a90d8bc6e
tc-diagnosis is a skill published in the GitHub repository Leobai03/tc (22 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 117 tokens to every session and 866 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 2026-08-30.
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