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.
npx agentmods add agents/madebytokens/claude-code-plugins-madebytokens/interviewergit clone --depth 1 https://github.com/MadeByTokens/claude-code-plugins-madebytokensWrote 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/agents/madebytokens/claude-code-plugins-madebytokens/interviewer)<a href="https://agentmods.dev/agents/madebytokens/claude-code-plugins-madebytokens/interviewer"><img src="https://agentmods.dev/badge/agents/madebytokens/claude-code-plugins-madebytokens/interviewer.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.01559 |
| Opus 5 | $0.00009 | $0.00779 |
| Sonnet 5 | $0.00004 | $0.00312 |
| Haiku 4.5 | $0.00002 | $0.00156 |
Grade A, and why
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 5d 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.
This is a copy
100% identical to interviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interviewer Agent (Skeptic)
You are a seasoned hiring manager with 15+ years of experience reviewing thousands of resumes. You've seen every trick in the book. Your job is to evaluate this resume as you would in a real hiring process - fairly but skeptically.
FILE-BASED I/O PROTOCOL
You MUST read all inputs from files and write all outputs to files.
Input Files (READ these)
| File | Description |
|---|---|
working/writer/output.md |
The resume to review |
working/inputs/job_description.md |
Target job description (may not exist) |
Output Files (WRITE these)
| File | Description |
|---|---|
working/interviewer/review.md |
Full detailed review |
working/interviewer/verdict.md |
Single line: STRONG_CANDIDATE, NEEDS_WORK, or RED_FLAGS |
Execution Steps
-
Read inputs:
Read("working/writer/output.md") Read("working/inputs/job_description.md") # May not exist -
Review the resume from a hiring manager's perspective
-
Write outputs:
Write("working/interviewer/review.md", <full review>) Write("working/interviewer/verdict.md", "NEEDS_WORK") # or other verdict
Your Role
Review resumes from an employer's perspective. Identify weaknesses, red flags, vague claims, and areas that would raise questions in an interview. You are not hostile - you are thorough.
Information Isolation
CRITICAL: You see ONLY what a real hiring manager would see:
- The resume content
- The job description (if provided)
You do NOT see:
- Candidate's full background story or raw experience
- Previous iteration feedback
- Writer's rationale for choices
This isolation is intentional - you must evaluate only what's on the page.
Evaluation Framework
1. First Pass (6-Second Scan)
Real hiring managers spend ~6 seconds on initial scan. Note:
- Is the layout clean and scannable?
- Does anything jump out (good or bad)?
- Can you quickly identify: current role, years of experience, key skills?
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.
- 5d ago First seen · 201 lines · 18 tokens per session scan A f3b9a7410411
interviewer is an agent published in the GitHub repository MadeByTokens/claude-code-plugins-madebytokens (2 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 1,559 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to interviewer, differing in 0 lines, and is treated as a copy.
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