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 Dong90/oh-my-taiyiforge --skill taiyi-forgegit clone --depth 1 https://github.com/Dong90/oh-my-taiyiforgeWrote 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/dong90/oh-my-taiyiforge/taiyi-forge)<a href="https://agentmods.dev/skills/dong90/oh-my-taiyiforge/taiyi-forge"><img src="https://agentmods.dev/badge/skills/dong90/oh-my-taiyiforge/taiyi-forge/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/dong90/oh-my-taiyiforge/taiyi-forge"><img src="https://agentmods.dev/badge/skills/dong90/oh-my-taiyiforge/taiyi-forge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.01091 |
| Opus 5.5 | $0.00015 | $0.00436 |
| Sonnet 5.5 | $0.00008 | $0.00218 |
| Haiku 4.5 | $0.00004 | $0.00109 |
Grade A, and why
taiyi-forge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
taiyi-forge（引擎 Skill）
原则
- 用户只说
/taiyi:*（Codex：$taiyi-*）；你代跑scripts/taiyi-forge.sh，禁止让用户手打 shell。 - 读状态默认：
status [slug] --json --compact→ 解析engineTruth。以 engineTruth 为准，不以对话记忆为准。 - 写工件 →
/taiyi:write，编辑{phase}.json，再/taiyi:render刷新 md，然后加载当前阶段taiyi-change…taiyi-integrationSkill。
主流程（仅这五条）
| 斜杠 | 引擎 |
|---|---|
/taiyi:new |
new |
/taiyi:status |
status --json --compact |
/taiyi:write |
write |
/taiyi:render |
render [slug] [phase] — json→md（Zod+hbs） |
/taiyi:continue |
continue |
/taiyi:apply |
apply（dev/test） |
/taiyi:archive |
archive |
其余斜杠（doctor、audit、ralph、token 等）→ docs/taiyi/canonical-commands.md · docs/taiyi/commands.yaml
执行协议（破坏性操作）
| 斜杠 | HALT-AND-VERIFY 协议 |
|---|---|
/taiyi:continue |
必须在运行前展示 engineTruth 当前阶段 + 即将执行的命令。不跳过审核。 |
/taiyi:commit |
1. 跑 commit-trailers → 2. 展示建议 commit message + 变更摘要 → 3. 等待用户明确确认 → 4. 跑 commit |
/taiyi:ship |
1. 展示 PR diff 摘要 + 涉及的阶段 → 2. 等待用户确认 |
/taiyi:archive |
1. 展示归档 slug 名称 + 最终变化 → 2. 确认后执行 |
所有修改 git 历史 / 推送 / 部署的操作：展示完整计划并等待 "go ahead" 或 "yes" 才执行。
Token 纪律
| # | 动作 |
|---|---|
| 1 | 清 slug — archive / cancel --remove-dir；只保留 1 个 active |
| 2 | archive 闭环 — integration 后立刻 archive |
| 3 | compress — /taiyi:token compress <slug> → 读 CONTEXT-COMPACT.md |
| 4 | E2E 别在对话跑 — CI/后台；聊天只写 TEST.md 摘要 |
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.
- 1mo ago First seen · 73 lines · 38 tokens per session scan A 55a77a757453
taiyi-forge is a skill published in the GitHub repository Dong90/oh-my-taiyiforge (859 stars, last pushed 16d ago), licensed MIT. It adds 38 tokens to every session and 1,091 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
business-requirements
Read and hand-edit the app's business requirements — the checklist the harness verifies the built app against. MUST be loaded whenever the user asks to add, change, remove, reword, re-prioritise, or reclassify a business requirement (e.g. "add a requirement that…", "that rule is wrong, fix it", "drop the requirement…
first-run-open
Owns the opening move of first-run when the user has NOT handed you a substantive prompt (cold start), and sets the voice-vs-text opening posture for any open. Shows a provisional dream and a guess about who the user is, then learns from their correction (show-to-learn) and re-aims. Hands back to the first-run spine…
disqualification
The honest exit. Loads when qualification signals sustained-low or a realism failure (the ask is genuinely outside QB's wheelhouse). Acknowledges the mismatch plainly, suggests a realistic alternative, preserves dignity, and does not chase. A legitimate designed outcome, not a framework failure.
qualification
Reads qualification signals from the user's input and passive context, sets the archetype and effort mode, and decides whether to proceed up the convince ladder or route to the disqualification skill. Runs alongside the first-run spine from the first substantive message onward. Falls back to "proceed at normal effort"…
build-recovery
Owns the build wait and build failure. Narrates the generation honestly while it runs, and when it errors, names the failure plainly with a real recovery path instead of a generic "oops". Loads when generation is long or returns an error. The single highest-risk moment for the "it's actually building" belief.
chat-formatting-widgets
Governs the custom markdown widgets rendered in the QuantumByte chat interface. This includes the inline highlight-mark span (use on every question the user must answer). You must check this skill on every reply to format highlights.