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 skills add tmargolis/career-navigator --skill mock-interviewgit clone --depth 1 https://github.com/tmargolis/career-navigatorWrote 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/tmargolis/career-navigator/mock-interview)<a href="https://agentmods.dev/skills/tmargolis/career-navigator/mock-interview"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/mock-interview/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/tmargolis/career-navigator/mock-interview"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/mock-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00082 | $0.01106 |
| Opus 5.5 | $0.00033 | $0.00442 |
| Sonnet 5.5 | $0.00016 | $0.00221 |
| Haiku 4.5 | $0.00008 | $0.00111 |
Grade A, and why
mock-interview 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 27d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow
1. Resolve {user_dir} and gate
Application data uses the split layout defined in references/tracker-schema.md — read it before any read or write.
Same as prep-interview: require CareerNavigator/profile.md, ExperienceLibrary.json, and tracker.json unless the user only wants a generic mock with pasted JD (then still need profile + EL minimum; create minimal context note if tracker empty).
2. Parameters (ask once if missing)
| Parameter | Values |
|---|---|
| mock_mode | guided | random | adaptive |
| interview_stage | recruiter | hiring_manager | technical | panel | executive | final |
| vibe | supportive | neutral | challenging | antagonistic | bored |
| target | application_id or company + role (optional for generic practice) |
2.1 When mode or vibe are not specified — system selection
The model must choose a concrete mock_mode and vibe before starting—never leave them implicit in the opening line.
mock_mode(if user omitted): useadaptive(default for learning and feedback). If the user asked for “surprise me,” “mix it up,” or equivalent, pickrandomat random and state that you did.vibe(if user omitted): useneutral. If the user asked for “surprise” / “mix it up,” pick one vibe at random from the five allowed values and state it.interview_stage(if user omitted): infer from thetracker.jsonsummary row for the active application — itsstatus,latest_stage, andlatest_stage_dategive the next likely stage without opening anything (e.g.phone_screen/latest_stage: "recruiter"→recruiter; otherwisehiring_manager). Read the row'sdetail_file(applications/<application_id>.json) only when the user asks to practice against the actual interview history, and only for that one application. If no application context, defaulthiring_manager.- Announce in one line before the first question, e.g.:
Selected: mode=adaptive, vibe=neutral, stage=hiring_manager (defaults — say if you want different).
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.
- 27d ago Changed · -5 lines · -12 tokens per session 8b891e33f210
- 1mo ago First seen · 79 lines · 94 tokens per session scan A a6e6a9508c65
mock-interview is a skill published in the GitHub repository tmargolis/career-navigator (16 stars, last pushed 27d ago), licensed Apache-2.0. It adds 82 tokens to every session and 1,106 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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