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.
git clone --depth 1 https://github.com/TestAny-io/testany-agent-skillsWrote 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/commands/testany-io/testany-agent-skills/brd-interviewer)<a href="https://agentmods.dev/commands/testany-io/testany-agent-skills/brd-interviewer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/brd-interviewer/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/commands/testany-io/testany-agent-skills/brd-interviewer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/brd-interviewer.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 | $0.00009 | $0.00344 |
| Opus 5.5 | $0.00004 | $0.00138 |
| Sonnet 5.5 | $0.00002 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
brd-interviewer 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.
What it actually says
BRD Interviewer
执行前读取 工作流执行约定：先取证再提问、按实际工具能力回退，并从本次安装位置定位资源。
先按 访谈模式与事实标准 判断：模糊想法才访谈，资料充分直接整理，局部歧义仅补问缺口。只修改文档片段不重开全流程。
使用方式
直接描述你的业务想法或需求，我会通过访谈引导你完成 BRD：
$ARGUMENTS
访谈流程
- 意图捕获：理解你的一句话想法
- 现状与来源：区分实测、估算、测量计划和离散验收；没有历史数字仍可交付草稿
- 核心分类：明确目标类型、受影响人群
- 成功定义：定义可衡量的成功指标
- 范围与约束：明确边界和限制
- 行业深挖：根据行业特点深入挖掘
- 依赖与假设：识别风险和前置条件
- 交付检查：内容完整与正式批准分开；不按假设数量阻塞，不编造批准
如果没有提供具体需求，请告诉我你想解决什么业务问题。
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 Changed · +2 lines 9a15017a46b9
- 1mo ago First seen · 28 lines · 9 tokens per session scan A 8af8d626273b
brd-interviewer is a command published in the GitHub repository TestAny-io/testany-agent-skills (82 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 344 once invoked, about $0.0000 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.
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