Borrowing it
Nothing to install: this file belongs to rakovi4/continue-framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rakovi4/continue-framework/main/.claude/skills/interview/SKILL.mdgit clone --depth 1 https://github.com/rakovi4/continue-frameworkWrote 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/rakovi4/continue-framework/interview)<a href="https://agentmods.dev/skills/rakovi4/continue-framework/interview"><img src="https://agentmods.dev/badge/skills/rakovi4/continue-framework/interview/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/rakovi4/continue-framework/interview"><img src="https://agentmods.dev/badge/skills/rakovi4/continue-framework/interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 28 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00050 | $0.01144 |
| Opus 5.5 | $0.00020 | $0.00458 |
| Sonnet 5.5 | $0.00010 | $0.00229 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade B, and why
interview scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
6. **A named precedent, if this story has one**: the `interview.md` or `decisions/*-decision.md` of the *specific* earlier story whose decision this one extends or contradicts — under `stories/` or `stories/done/`, and m How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate interview.md via Interactive Interview
Conduct a structured interview with the user to gather all context needed for a story, then generate the interview.md file that feeds into the story spec step (dispatched by /continue), /mockups, /api-spec, /test-spec.
Usage
/interview 5 # By MVP story number
/interview "Create task" # By story name
/interview # Interactive selection
Workflow
Phase 1: Context Gathering (Silent)
Before asking any questions, silently read. Resolve the target story first (Phase 2's parse step) — items 4, 6, 9 and 10 are scoped to it and cannot be read before it is known:
- Story mapping:
ProductSpecification/stories.md - Product description:
ProductSpecification/BriefProductDescription.md - Expected load:
ProductSpecification/ExpectedLoad.md - Existing story spec (if any):
ProductSpecification/stories/NN-story-name/NN_StoryName.md - Archived drafts:
ProductSpecification/Archived/DraftStories/1st-iteration/(scan for relevant files) - A named precedent, if this story has one: the
interview.mdordecisions/*-decision.mdof the specific earlier story whose decision this one extends or contradicts — understories/orstories/done/, and most often the latter, since a story with a settled decision is usually closed (.claude/rules/workflow.md, "Resolving a story folder"). Never allstories/*/interview.md— that sweep reconstructs the present from a pile of deltas; item 9 answers that question instead. Asking whether a precedent exists at all has its own permitted form — a keyword-scoped grep acrossstories/**includingdone/(.claude/rules/workflow.md, "Asking whether a non-goal or a rationale exists is not the banned sweep") - Existing domain code: Scan
backend/domain/src/andbackend/usecase/src/ - Existing adapters: Scan
backend/adapters/*/src/ - What the areas this story touches already do: the acceptance tests of those areas — test class names, scenario descriptions, Statements. This is the current state, not the story folders (
.claude/rules/workflow.md, "Where the Current State Lives"). Only enabled tests count as shipped — one still carrying its disable/skip marker is a pending increment, not shipped behavior. Where the suite is silent about an area, read that area's production code and say so in the interview — items 7-8 for a backend behavior, the frontend source for a UI-only one, which Phase 1 does not otherwise scan; silence is not evidence of absence. In a repo with no acceptance suite yet, say so explicitly and fall back to the story folders - Existing test cases doc (if any):
ProductSpecification/stories/NN-story-name/tests/01_API_Tests.md
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 · +1 lines 7e7f9e6f1cf3
- 2mo ago First seen · 70 lines · 50 tokens per session scan B 7d4b2d132672
interview is a skill published in the GitHub repository rakovi4/continue-framework (54 stars, last pushed 29d ago), licensed MIT. It adds 50 tokens to every session and 1,144 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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