Interview Analysis
v1.0.0Deep interview analysis using dynamic expert routing. Automatically selects top domain thinkers based on role type to distinguish genuine capability from performance, identifying Battle Scars over Methodology Recitation. Applicable to any professional position including product management, engineering, design, operations, sales, and data science.
⭐ 1· 2.1k·11 current·11 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 promise (deep interview analysis, expert-driven evaluation) aligns with the instructions and templates provided. The skill only requires reading its own templates and interview content and producing Markdown analysis cards; no unrelated services, binaries, or credentials are requested.
Instruction Scope
Instructions direct the agent to perform timeline reconstruction, STAR-case analysis, interviewer meta-review, and to write Markdown cards under people/{candidate_name}/analysis/. This is consistent with the purpose. Note: the skill instructs the agent to read its template files and to write candidate files to disk — verify that storing interview transcripts/PII locally is acceptable for your environment.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute. This minimizes risk from arbitrary code/downloads.
Credentials
No environment variables, credentials, or external config paths are requested. The required access (reading templates and writing analysis files) is proportional to the described functionality.
Persistence & Privilege
Skill is not forced-always, and allows normal model invocation. It writes analysis artifacts to a candidate-specific local path (its own workspace), which is expected for its purpose and does not change other skills' configs or request system-wide privileges.
Assessment
This skill appears coherent and low-risk from a supply-chain/privilege perspective. Before installing, consider: 1) Privacy: the tool writes analysis and may process interview transcripts (personal data). Ensure you have candidate consent and appropriate storage/retention policies. 2) File location and permissions: confirm people/{candidate_name}/analysis/ is acceptable and that sensitive data won't be world-readable or backed up to unintended locations. 3) External sharing: the skill does not declare any external endpoints, but verify your agent runtime won't automatically sync or upload generated files to third-party services. 4) Bias & accuracy: the skill uses named expert frameworks — review outputs for overreliance on particular heuristics. If you need higher assurance, run the skill on non-sensitive sample data first.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.