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 TestAny-io/testany-agent-skills --skill brd-interviewergit 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/skills/testany-io/testany-agent-skills/brd-interviewer)<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/brd-interviewer"><img src="https://agentmods.dev/badge/skills/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/skills/testany-io/testany-agent-skills/brd-interviewer"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/brd-interviewer.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 | $0.00068 | $0.00930 |
| Opus 5.5 | $0.00027 | $0.00372 |
| Sonnet 5.5 | $0.00014 | $0.00186 |
| Haiku 4.5 | $0.00007 | $0.00093 |
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 - 业务需求梳理
执行前读取 工作流执行约定：先读取用户材料，从本次安装位置定位资源，按真实工具能力工作。
触发范围
用于把业务想法梳理成 BRD、访谈业务需求或整理已有业务材料。仅修改已有文档片段时，只处理指定片段，不重启全套访谈。不用于替代 API/HLD/LLD 设计或业务批准。
必守约束
- 保留原始意图，BRD 聚焦 WHAT/WHY、目标用户、范围、成功定义、依赖与约束。
- 已知事实直接引用；不确定信息标记假设，不代替用户决定或批准。
- 访谈每轮最多 2-3 个关键问题；尊重用户指定的检查点。
- 先按 访谈模式与事实标准 选择
interview/synthesis/gap_followup。量化不是所有任务的硬门禁；实测、估算、测量计划、离散验收分别记录。 - 默认跟随用户语言，显式语言要求优先。字段名、枚举、ID 与 comment markers 保持英文，见 语言规则。
最小工作流
- 读取指定材料、原始目标和已有批准依据；不因文件名或标签认定批准。
- 判断本次需要局部编辑、访谈或材料整理；不要向用户重复索取已有内容。
- 资料充分就直接整理；仅有局部歧义就只问缺口。需要访谈时，按 访谈问题库 的相关阶段补全，不从头照读每个问题。
- 生成文档时按用户语言读取 中文模板 或 英文模板。使用用户已指定的路径；没有路径时选工作区内合理默认并说明。
- 检查范围、成功定义、依赖和假设。缺少历史数值仍可交付明确标注的草稿；不猜数字、不按假设数量阻塞。只要求草稿就保持草稿，正式批准必须有对应版本/范围的真实依据。
- 返回实际文件、来源、未决项和交付状态，不主动进入实施或发布。
按需资源
| 情况 | 资源 |
|---|---|
| 需要具体问题、分支或当前准出清单 | 访谈问题库 |
| 需要问题组织方法 | 访谈框架 |
| 需要沟通技巧 | 顾问风格 |
| 涉及行业特有需求 | Fintech、Healthcare、B2B SaaS、Retail、Manufacturing，只读相关分支 |
技术建议可保留到附录并注明待评估，不从技术名称推导用户未给的业务阈值。接口契约、架构及实现细节分别留给 API/HLD/LLD 职责。
使用示例
- “老板想做会员体系，但目标还不清楚”：先访谈关键业务缺口。
- “根据这份会议记录整理 BRD”：先读取记录，复用已知事实，不重新问全部问题。
- “只改 BRD 的产品名”：局部修改并检查差异，不加载行业问卷、不重开准出。
What ships with it
13 files 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.
- agents/openai.yaml 285 B
- assets/brd-template.en.md 6.2 KB
- assets/brd-template.md 5.4 KB
- assets/testany-logo-small.png 48 KB
- assets/testany-logo.svg 7.5 KB
- references/consultant-persona.md 1.7 KB
- references/industries/b2b-saas.md 5.9 KB
- references/industries/fintech.md 5.1 KB
- references/industries/healthcare.md 5.4 KB
- references/industries/manufacturing.md 5.5 KB
- references/industries/retail-ecommerce.md 5.6 KB
- references/interview-framework.md 2.2 KB
- references/interview-question-bank.md 4.7 KB
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 · -606 lines 66596802d8c6
- 1mo ago First seen · 653 lines · 68 tokens per session scan A 23032f365643
brd-interviewer is a skill published in the GitHub repository TestAny-io/testany-agent-skills (82 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 930 once invoked, about $0.0003 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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