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/pitch)<a href="https://agentmods.dev/commands/noamseg/interview-coach-skill/pitch"><img src="https://agentmods.dev/badge/commands/noamseg/interview-coach-skill/pitch.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 | $0.03871 |
| Opus 5 | $0.00000 | $0.01936 |
| Sonnet 5 | $0.00000 | $0.00774 |
| Haiku 4.5 | $0.00000 | $0.00387 |
Grade A, and why
pitch 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 8d 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pitch — Core Positioning Statement
Build the candidate's atomic unit of self-presentation: a positioning statement that distills who they are into a compelling, memorable core. The positioning statement is saved to coaching state and consumed by resume, linkedin, and outreach for cross-surface consistency.
Also read references/differentiation.md (for earned secret integration into positioning) and references/storybank-guide.md (for narrative identity themes and story data to anchor the statement).
How Pitches Actually Work
The 10-20-30 Rule: 10 seconds to earn 20 more. 30 seconds earns the conversation. Most candidates start with credentials — but credentials don't create curiosity.
The anxiety barrier is bigger than the content barrier: Stanford communication expert Matt Abrahams (via Lenny's Podcast) emphasizes that most candidates over-prepare content and under-prepare their state. The pitch should feel like a conversation opener, not a performance. His principle: "Strive for connection over perfection." When candidates stop trying to be impressive and focus on genuine engagement, the pitch lands better. See hype.md for Abrahams' specific anxiety management techniques.
The Curiosity Gap (Loewenstein): People pay attention when a gap opens between what they know and what they want to know. "I help growth-stage companies stop losing their best engineers" creates a gap. "I'm a VP of Engineering with 15 years of experience" closes it.
Neural Coupling: Stories synchronize brains. 63% remember stories; 5% remember statistics (Chip Heath). A pitch with a micro-story activates narrative processing. A pitch listing capabilities activates passive processing.
Primacy Effect: First sentence becomes the lens. 100ms to form a judgment. 33% of hiring managers decide within 90 seconds. The opening line is the pitch.
Present-Past-Future Formula: For "tell me about yourself" — present (what you do now), past (relevant experience), future (why this role). Not a chronological resume walkthrough.
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.
- 8d ago First seen · 308 lines · 0 tokens per session scan A a8887e21e437
pitch is a command published in the GitHub repository noamseg/interview-coach-skill (2,142 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,871 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
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.