uc-interviewer

uc-interviewer is a skill for Claude Code, Codex from TestAny-io/testany-agent-skills. It costs 50 tokens per session (1,524 once invoked), scanned A, original, MIT.

A structured interview assistant for mapping how users complete a task or reach a goal. It asks about the normal path, branches, retries, errors, priorities, and transitions between journeys, where a journey is the sequence of actions a user takes.

In plain words
What is it for?
Use it after a business requirements document is prepared to define in-scope journeys, confirm their priority, map steps and branches, and record exceptions and open questions.
Why use it?
It turns vague business requirements into confirmed user flows without deciding technical implementation on the user's behalf. It also exposes boundary cases and unresolved decisions before design work begins.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is 默认跟随用户输入语言;显式指定优先。metadata 字段、枚举、ID 和 comment markers 保持英文,模板与子任务继承同一 output_language,见 [语言规则](../../references/language-policy.md)。.

Part of the testany-eng plugin — 24 skills, 24 commands shipped together

Good fit Use it after a business requirements document is prepared to define in-scope journeys, confirm their priority, map steps and branches, and record exceptions and open questions.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/TestAny-io/testany-agent-skills
agentmods
npx agentmods add skills/testany-io/testany-agent-skills/uc-interviewer

Made for: Claude Code, Codex.

Or install testany-eng, the plugin that ships this one along with the rest of its 24 skills, 24 commands.

Wrote 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.

agentmods badge for uc-interviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/uc-interviewer/github.svg)](https://agentmods.dev/skills/testany-io/testany-agent-skills/uc-interviewer)
Your own site
<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/uc-interviewer"><img src="https://agentmods.dev/badge/skills/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.

agentmods 80×15 button for uc-interviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/uc-interviewer"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/uc-interviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,524 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.01524
Opus 5.5 $0.00020 $0.00610
Sonnet 5.5 $0.00010 $0.00305
Haiku 4.5 $0.00005 $0.00152

Measured 1mo ago against content hash 6cb37bb85703, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

plugins/testany-eng/skills/uc-interviewer/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UC Interviewer - 用户旅程梳理

先读取 工作流执行约定 和 访谈模式与事实标准:先取证、按真实能力工作,从当前安装位置定位资源。

默认跟随用户输入语言;显式指定优先。metadata 字段、枚举、ID 和 comment markers 保持英文,模板与子任务继承同一 output_language,见 语言规则。

触发与边界

用于基于 BRD 澄清或整理用户操作流程、跨 Journey 跳转和异常/边界行为。不替代技术设计、PRD 批准或实施。仅编辑已有 Journey 片段时只检查受影响范围,不重新启动完整访谈。

模式选择

模式 行为
interview 模糊目标或明确要求访谈:开放发现,必要时提供可信选项,每轮 2-3 个关键缺口;尊重逐条确认要求
synthesis 材料足够且要求整理:批量复用已知旅程、步骤、优先级及跳转,直接交付草稿,不强制逐条再确认
gap_followup 材料基本齐全:只问未决分支、来源冲突或缺失决定,不重问有效基线和已有事实

已确认事实与本次工件的正式批准分开;用户只要求草稿就保持 draft。没有批准 BRD 仍可产出带来源状态的探索性草稿,不自行升级为正式基线。

工作流

1. 读取 BRD 与旅程材料

读取用户指定 BRD、相关批准依据和已有流程。提取目标用户、业务目标、in/out-scope、成功定义、版本及来源。 多份来源冲突时引用具体差异,集中询问真实缺口;文件名、“approved”标签或修改时间不单独证明批准。

2. 建立范围与稳定 ID

复用已明确的 Journey 范围和优先级,为缺失而确有必要的项目询问,不重新确认所有已给内容。 维护稳定 JOURNEY 工件 ID、FLOW-* Journey ID 和每条 Journey 的 S1/S2/... Step ID;更新已有材料不随意重编号。 建立 BRD → Journey 映射及 Journey Graph。新发现超出当前范围的旅程先作为待决项,不擅自扩大范围。

3. 细化步骤、跳转与边界

对每条在范围内的 Journey 整理:

  • 谁、目标、前置/入口、终点与用户得到的结果。
  • Happy Path 步骤;每条流向记录 from/to、触发条件、跨 Journey 目标入口和数据交接;结束用 END。
  • 异常、回退、重试、中断、权限、状态变化、部分成功等相关分支。已给决定直接复用,未给的关键行为保持待定。
  • 按 步骤级边界框架 检查适用类别,不能只列空泛名词。

每个选入范围的 edge case 记录 EC ID、类别、适用 Sx、触发条件、用户可见结果、处理流向、数据保留/恢复、MVP/后续及已确认/待定。 P0 Journey 不得把所有边界一概跳过;确无额外适用项时说明理由。MVP 边界缺失阻止锁定基线,但不阻止透明草稿。 这些是内容覆盖要求,不是每个字段都必须再次向用户提问。

4. 跨 Journey 一致性与 Checkpoint

检查共享步骤/异常策略、优先级依赖、悬挂跳转、未定义入口及跨 Journey 循环的退出路径。已有一致决定直接保留,仅对实质冲突补问。 按 checkpoint-gates.md 分别记录内容覆盖、证据和批准条件;不得因资料充分或 lint 成功自称 approved。

5. 交付与验证

按语言读取 中文模板 或 英文模板,包含:

  • journey-profile-v1 示例 中的 TRACEABILITY-METADATA、稳定 ID、source_documents、relations;使用该实际路径,不猜同名 schema 文件。
  • Journey Graph、步骤/跳转表、步骤级 Edge Case Matrix。
  • BRD → Journey 与 Journey → PRD 映射、Checkpoint Decision、待定项及真实 review record。

Read the full file on GitHub · 85 lines

Files

What ships with it

7 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.

Changes

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.

  1. 1mo ago Changed · -381 lines · +2 tokens per session 6cb37bb85703
  2. 1mo ago First seen · 466 lines · 48 tokens per session scan A 4fc24a017e69

Subscribe to this mod's changes

uc-interviewer is a skill published in the GitHub repository TestAny-io/testany-agent-skills (82 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 1,524 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 2026-09-08.