Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Remotivated/job-hunt-skillsnpx agentmods add skills/remotivated/job-hunt-skills/interview-coachWrote 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/skills/remotivated/job-hunt-skills/interview-coach)<a href="https://agentmods.dev/skills/remotivated/job-hunt-skills/interview-coach"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/interview-coach/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/remotivated/job-hunt-skills/interview-coach"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/interview-coach.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00032 | $0.01548 |
| Opus 5 | $0.00016 | $0.00774 |
| Sonnet 5 | $0.00006 | $0.00310 |
| Haiku 4.5 | $0.00003 | $0.00155 |
Grade A, and why
interview-coach 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 11d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Generate an interview prep brief with likely questions, talking points from the user's actual experience, evaluative questions to ask the company, and honest assessment of weaknesses. Reuse and grow the persistent STAR+R story bank so every prep session compounds instead of starting from zero.
For interview process tracking, post-interview notes, and follow-up drafts, use interviewing. This skill focuses on prep quality.
Workflow
State layer: selects either
resume.mdorcv.mdas the source work document, readsapplications.md, reads and appends tostory-bank.md, writes an interview prep artifact, and writes a numbered report. See state-layer contract.
0. Scaffold, tracker check, and source selection
Run node "{job_hunt_skills_root}/scripts/scaffold-state.mjs" if the state layer is missing.
Read my-documents/applications.md. If no row exists for this company + role, warn but do not block:
I don't see a tracked application for {Role} at {Company}. Interview prep still works. Want me to create a tracker row with
status: interviewing, or skip the tracker?
If the user confirms tracker creation, insert a new row with status: interviewing. This is allowed by state-layer section 4 because interviews can predate the tracker.
If a row exists at saved or applied, ask whether to advance it to interviewing. Only advance after user confirmation.
Select the source work document using state-layer section 6. If both resume.md and cv.md exist and the user did not imply which one maps to the interview, ask. Use the selected file's label in user-facing prose.
1. Gather inputs
- Company name: required.
- Role title: required.
- Job posting: URL or pasted text. If unavailable, ask what the user knows about the requirements and interview loop.
- Interview details: stage, date/time if known, format, interviewer names or functions, expected topics, and anything the recruiter mentioned.
- Source work document: selected
resume.mdorcv.md.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 127 lines · 32 tokens per session scan A 61d4f02e754a
interview-coach is a skill published in the GitHub repository Remotivated/job-hunt-skills (9 stars, last pushed 19d ago), licensed MIT. It adds 32 tokens to every session and 1,548 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-31.
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