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/interviewingWrote 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/interviewing)<a href="https://agentmods.dev/skills/remotivated/job-hunt-skills/interviewing"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/interviewing/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/interviewing"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/interviewing.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 | $0.00043 | $0.01179 |
| Opus 5 | $0.00022 | $0.00589 |
| Sonnet 5 | $0.00009 | $0.00236 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade A, and why
interviewing 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 10d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Manage the interview stage of an application. This skill owns tracker advancement to interviewing, interview logs, follow-up notes, and handoff to interview-coach for deep preparation.
Use interview-coach when the user only wants a prep brief. Use interviewing when there is process state to track.
Workflow
State layer: reads and updates
applications.md, writes per-application interview notes, and may invokeinterview-coach. See state-layer contract.
1. Identify the application
Run node "{job_hunt_skills_root}/scripts/scaffold-state.mjs" if state files are missing.
Gather:
- Company.
- Role.
- Application id if known.
- Interview stage: recruiter screen, hiring manager, technical, panel, presentation, final, or other.
- Date/time, format, interviewer names/functions, and recruiter notes if available.
- Job posting or application folder if available.
If no tracker row exists, offer to create one directly at status: interviewing. This is allowed by state-layer section 4. When inserting, populate comp_expected, source, and next_action_date (default: the next interview date if known, otherwise today + 7 days) from conversation. See state-layer §3 for the back-compat read/write rules.
If a row exists at saved or applied, ask whether to advance it to interviewing. Never regress a later status. When advancing, also update next_action_date to the next concrete commitment (interview date, take-home due date, or follow-up window).
2. Create or update the interview log
Write or append my-documents/applications/{id}/interview-log.md.
Suggested structure:
# Interview Log - {Company}, {Role}
## Current Status
- Stage:
- Next interview:
- Format:
- Contacts:
- Open questions:
## Timeline
### YYYY-MM-DD - {Stage}
**Before:** What is known going in.
**After:** Notes, signals, concerns, and follow-up actions.
**Follow-up:** Sent / not sent / not needed.
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.
- 10d ago First seen · 130 lines · 43 tokens per session scan A 02612ca43502
interviewing is a skill published in the GitHub repository Remotivated/job-hunt-skills (9 stars, last pushed 18d ago), licensed MIT. It adds 43 tokens to every session and 1,179 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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