Interview Designer
v1.0.0Analyze resumes and design interview strategies using evidence-based methodology. Transforms interview prep from "read resume → ask questions" into "define standard → forensic evidence → future simulation". Combines Geoff Smart's Topgrading, Lou Adler's performance-based hiring, and Daniel Kahneman's bias control. Use when preparing for interviews, creating structured interview guides, or designing questions to validate candidate competencies.
⭐ 3· 1.9k·10 current·10 all-time
by@mikonos
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (design interview guides using Scorecard→Forensic→Simulation) matches the provided files and runtime instructions. Required resources are minimal (templates + prose) and appropriate for the stated functionality.
Instruction Scope
SKILL.md stays within interview-design scope: defines workflow, heuristics, and question-generation steps and points to a local template for output. One notable instruction: it explicitly says "This skill uses <Chain of Thought>" and instructs the agent to maintain an "Objective Evaluator" perspective — this is a behavioral prompt for the agent (role-play). It does not reference reading system files, environment variables, or contacting external endpoints. If your environment forbids exposing internal chain-of-thought or you don't want the model to reveal internal reasoning, review or remove that directive before enabling autonomous invocation.
Install Mechanism
No install spec is present and the skill is instruction-only. README shows suggested npx commands for user installation, but those are user-facing instructions and not part of an automated install spec. No downloads, archives, or third-party package installs are declared in the skill bundle.
Credentials
The skill declares no required environment variables, credentials, or config paths. The runtime instructions do not ask for unrelated secrets. This is proportional for an interview-design skill.
Persistence & Privilege
The skill does not request always:true and is user-invocable only. It does not attempt to modify other skills or system-wide settings. Autonomous invocation remains allowed by default (normal for skills), but there are no extra privileges requested.
Assessment
This skill is instruction-only and internally consistent for designing interview guides. Before installing or enabling autonomous use: 1) Review/confirm you are comfortable with the SKILL.md directive to use "Chain of Thought" (it may encourage revealing internal reasoning)—remove or rephrase if you want only final outputs. 2) Inspect the templates for any placeholder handling of candidate PII and ensure your agent/runtime handles resumes and personal data per your privacy rules. 3) Because the skill's source/homepage are unknown, if you plan to run any suggested npx installs (from README) verify the package names and origins — the skill itself has no automated install, so those commands are optional. 4) If you enable autonomous invocation, consider limiting access to candidate data and auditing generated guides for bias or overly adversarial wording (the skill uses pressure-test language that you may want to soften).Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.