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/uc-interviewer)<a href="https://agentmods.dev/commands/testany-io/testany-agent-skills/uc-interviewer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/uc-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/uc-interviewer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/uc-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 | $0.00544 |
| Opus 5.5 | $0.00004 | $0.00218 |
| Sonnet 5.5 | $0.00002 | $0.00109 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
uc-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
UC Interviewer
按 访谈模式与事实标准 选择 interview / synthesis / gap_followup。资料充分直接整理草稿;只对缺口补问,不要求逐条再确认。用户要求逐条检查点时遵循;草稿生成和 lint 成功都不等于正式批准。
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。
启动用户旅程访谈流程。在 BRD 和 PRD 之间建立对齐检查点。
使用方式
提供 BRD 文件路径:
$ARGUMENTS
为什么需要这个步骤
BRD 定义了"做什么",但用户旅程有很多"模糊地带":
- 主流程的具体步骤
- 跳转/分支的选择
- 异常情况的处理方式
- Edge case 的触发、用户可见结果与恢复方式
这些决策如果在 PRD 阶段才暴露,返工成本高。
访谈内容
- BRD baseline - 先读相关 BRD 并核验批准依据,只有仍有冲突才询问具体权威基线
- Journey 范围 - 确认要细化哪些用户旅程
- 主流程 - 复用已有 Happy Path;未知时开放发现,只确认未决项
- 跳转/分支 - 其他完成方式与跨 Journey 流转
- 异常处理 - 出错时怎么办
- 步骤级 Edge Case - 检查触发条件、用户可见结果、恢复方式的覆盖,仅补问缺口
输出物
结构化的 User Journey 文档,包含 TRACEABILITY-METADATA、JOURNEY-* / FLOW-*、步骤级 Edge Case Matrix 和真实 checkpoint 状态。草稿可供讨论,但未经批准不能作为 prd-writer 的锁定基线。
工作流程
BRD → uc-interviewer → User Journey 文档 → prd-writer → PRD
↓
按缺口确认;按证据判定状态
先读取已提供材料;确实没有 BRD 或来源时再询问,不重复索取。
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 · +4 lines e03fc6aad258
- 1mo ago First seen · 48 lines · 9 tokens per session scan A 93ba92e48ff2
uc-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 544 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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profile
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ui-flow-review
Review menus, HUD, navigation, and player flow from a UX perspective.
design-audit
Audit the rendered design of live sites. Evidence capture first, then one critique per site. Argument is a URL, a repo name, or all.
4-generate
Run Stage 4 of the design system skill generation pipeline: parallel skill file generation.
mockups-generate
Generate dashboard mockups.
discover-diagrams
Load diagram skills (Mermaid flowcharts, sequence, ER, architecture).