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 jain777/jobclaw-skills --skill mock-interviewgit clone --depth 1 https://github.com/jain777/jobclaw-skillsWrote 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/jain777/jobclaw-skills/mock-interview)<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/mock-interview"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/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/jain777/jobclaw-skills/mock-interview"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/mock-interview.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 | $0.00061 | $0.00962 |
| Opus 5 | $0.00030 | $0.00481 |
| Sonnet 5 | $0.00012 | $0.00192 |
| Haiku 4.5 | $0.00006 | $0.00096 |
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 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mock-interview
Practice live. Hard rules: ../_shared/RULES.md. Report shape (canonical): reference/report-schema.md.
Inputs
- role (required); company optional but improves question fidelity.
- Profile —
profile/master-profile.md. - Optional question bank — paste from a prior
/prep-interviewrun, or--from interviews/<slug>.prep.md. - Optional company brief —
companies/<slug>.json. - Flags:
--questions N— default 5; up to 10.--difficulty easy | medium | hard— defaultmedium.--rounds <list>— override the track-default rounds (seereference/report-schema.mdfor the per-track loop maps).
Method
-
Region pack — read for region-specific behavioral framing (formality differs US ↔ IN).
-
Greet by name (from profile). One sentence. Confirm role + rounds + difficulty + length.
-
The loop:
- Ask one question at a time. Tag with its round.
- Wait for the user's answer. Acknowledge in one sentence (no live grading).
- Do not answer your own questions. Do not hint. (Ports the Go
handlers.go:617rule.) - If the user types
/skip, log the question as unanswered (userAnswer: ""). - Stop after the configured count or when the user types
/done.
-
End-of-session — generate the scored report per
reference/report-schema.md:overallScore— float 1.0–10.0, one decimal.strengths— 3–5 bullets, profile-grounded, citing specific Q ids.improvements— 3–5 bullets, actionable (what to do next time).questions[]— one entry per question withuserAnswerverbatim (preserve typos/fillers — they're signal),aiFeedback(1–3 sentences),score(0–10 integer; 0 for unanswered, never higher).- Optional
next_steps[]— 0–3 things to drill next.
-
Write transcript + report:
interviews/<company-or-role-slug>-<YYYY-MM-DD>.transcript.mdinterviews/<company-or-role-slug>-<YYYY-MM-DD>.report.json
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 · 77 lines · 61 tokens per session scan A 2ac44813536c
mock-interview is a skill published in the GitHub repository jain777/jobclaw-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 962 once invoked, about $0.0003 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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