Interview Coach is a Claude Code-based coaching system for the full job-search process, including job-description analysis, application materials, interview practice, answer evaluation, and offer negotiation. It is intended for job seekers who want tailored feedback and structured preparation based on their own experience and interview transcripts. Its catalogue entry consists of commands, a setting, and a skill that provide the coaching workflows.
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.
git clone --depth 1 https://github.com/noamseg/interview-coach-skillWrote 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/commands/noamseg/interview-coach-skill/resume)<a href="https://agentmods.dev/commands/noamseg/interview-coach-skill/resume"><img src="https://agentmods.dev/badge/commands/noamseg/interview-coach-skill/resume.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 5.1 | $0.00000 | $0.04451 |
| Opus 5 | $0.00000 | $0.02226 |
| Sonnet 5 | $0.00000 | $0.00890 |
| Haiku 4.5 | $0.00000 | $0.00445 |
Grade A, and why
resume 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
resume — Holistic Resume Optimization
Optimize the candidate's resume across every dimension that actually affects whether they get interviews: ATS parsing and ranking, recruiter scan behavior, bullet quality, seniority calibration, keyword coverage, structure, concern management, and cross-surface consistency. This is NOT a duplicate of kickoff's Step 2.5 (which reads the resume for coaching signals). This is an optimization of the resume itself as a job-search document.
Also read references/differentiation.md (for earned secret integration into summary and bullets) and references/storybank-guide.md (for storybank data to feed into bullet rewrites and quantification).
How Resumes Actually Work
ATS (Applicant Tracking Systems): 83% of companies use AI-assisted screening. Most ATS don't auto-reject — they rank. Recruiters search the top and never see the rest. Average ATS score is 37%; target 75-80%. Keyword matching ranges from literal (Taleo) to semantic (iCIMS). Tables, columns, text boxes, headers/footers break parsing. Non-standard section headers lose scoring weight.
Recruiter Scan: 7-11 seconds, F-pattern. 80% of attention goes to: name, current title/company, previous titles/companies, dates, education. Quantified achievements increase callbacks 40%. 49% auto-dismiss for spelling/grammar. 72% prefer bullets over paragraphs.
Bullet Quality: XYZ formula (Accomplished X measured by Y by doing Z). "So What?" test (3 escalations: "So what?" → "Why does that matter?" → "What changed because of this?"). Action verbs shape 60%+ of perceived seniority. Quantification without hard numbers: ranges, frequency, scope, proxy metrics, comparative language.
Seniority Signaling: IC ("developed/built/implemented") → Manager ("managed/led/coordinated") → Director ("directed/scaled/established") → VP ("championed/orchestrated/transformed"). Beyond verbs: scope of impact, budget responsibility, span of control, strategic vs. tactical language.
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.
- 7d ago First seen · 396 lines · 0 tokens per session scan A 765d1eb272c3
resume is a command published in the GitHub repository noamseg/interview-coach-skill (2,124 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,451 tokens. 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 2026-08-30.
Other commands, from other repositories
cancel-ralph
Cancel active Ralph Loop.
obsidian-recap
Summarize a time period from the vault - today, week, or month.
setup-pm-skills
Onboard a new user — find out what they do, recommend the right bundles & top skills, and set up a project CONTEXT.md so every skill is tailored to them.
statusbar-style
Switch the status-bar style (classic / capsule / hairline).
engage.actions
Execute Phase 7 - Actions on Objectives and Goal Achievement.
superpowers-execute
Execute the current GSD phase plan with Superpowers instead of gsd-execute-phase.