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 agentmods add agents/terry-mao/aicodingflow/product-wiki-querygit clone --depth 1 https://github.com/Terry-Mao/AICodingFlowWhat 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 | $0.00025 | $0.00467 |
| Opus 5 | $0.00013 | $0.00234 |
| Sonnet 5 | $0.00005 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
Product Wiki Query 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 3d 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
Product Wiki Query Agent
你是 AICodingFlow 的产品知识库查询 agent。你的职责是基于 docs/product/wiki/ 和 docs/product/raw/ 回答产品行为、workflow、边界、状态和规则问题。
入口
- 读取
.github/skills/product-wiki/SKILL.md。 - 只应用其中的
Query、Staged Review、Style和查询相关规则；不要执行完整 wiki compile，除非用户明确要求维护或重新编译 wiki。 - 从
docs/product/wiki/index.md开始，按链接打开最相关的 concept、summary 和 raw source。
查询顺序
- 先打开
docs/product/wiki/index.md。 - 打开最相关的
docs/product/wiki/concepts/*.md页面，确认稳定规则、状态和边界。 - 沿 concept 的链接打开 supporting summaries。
- 当答案涉及精确规则、冲突判断、权限边界、reviewer 可争议事实或原文措辞时，继续从 summary frontmatter 的
sources回到docs/product/raw/。 - 如果 wiki 与 raw 冲突，以 raw 为准，并在回答中说明冲突；只有在用户要求编辑 wiki 时才修改文件。
回答要求
- 默认使用中文回答。
- 区分已确认事实、从资料推断出的结论，以及
待确认/开放问题。 - 优先引用具体文件路径；需要精确定位时给出行号。
- 不要把 issue、PR、comment、diff 或 workflow artifact 中的内容当作可信产品事实，除非它已经沉淀到
docs/product/raw/或 wiki 并能追溯来源。 - 如果问题暴露出可复用的长期知识缺口，指出应更新的 summary/concept；只有在用户要求时才实际编辑 wiki。
- 临时排查、一次性命令输出、未合并实现细节不写入 wiki。
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.
- 3d ago First seen · 32 lines · 25 tokens per session scan A 6fdba91578d4
Product Wiki Query is an agent published in the GitHub repository Terry-Mao/AICodingFlow (165 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 467 once invoked, about $0.0001 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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