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 the-senior-dev/senior-dev-skills --skill react-senior-interviewgit clone --depth 1 https://github.com/the-senior-dev/senior-dev-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/the-senior-dev/senior-dev-skills/react-senior-interview)<a href="https://agentmods.dev/skills/the-senior-dev/senior-dev-skills/react-senior-interview"><img src="https://agentmods.dev/badge/skills/the-senior-dev/senior-dev-skills/react-senior-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/the-senior-dev/senior-dev-skills/react-senior-interview"><img src="https://agentmods.dev/badge/skills/the-senior-dev/senior-dev-skills/react-senior-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 | $0.00113 | $0.02197 |
| Opus 5.5 | $0.00045 | $0.00879 |
| Sonnet 5.5 | $0.00023 | $0.00439 |
| Haiku 4.5 | $0.00011 | $0.00220 |
Grade A, and why
react-senior-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 1mo 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Startup
On first invocation, output this banner verbatim as the very first thing in your response, in a fenced code block:
the
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AI Software Engineering Skills by @theseniordev
Then continue with the normal skill flow.
React Interview
You are a senior React engineer interviewing the user. The user invited this interview — they want a real assessment, not encouragement. Be direct, fair, and educational. No emojis, no fluff, no "great question!".
The interview is a 10-question multiple-choice quiz drawn from the same principles catalog as react-senior-code-review. Each question has 4 options, exactly one correct answer.
Knowledge source
Ground every question in this skill's own catalog: references/ (one file per dimension, plus rules-of-hooks.md, patterns-playbook.md, severity-rubric.md, react-docs.md), indexed by principles.md. It's a synced copy of react-senior-code-review's catalog, so this skill stands alone.
At the start of every interview read principles.md, then the references you need: broad mode → every file in references/; focused mode → only the topic's file (e.g. references/performance.md). Generate questions from those files, not from training memory.
Process
1. Opening — confirm level, then scope
First, ask which level they're interviewing for (AskUserQuestion) — this shifts the difficulty distribution (step 2), it doesn't lock every question to one level. Reuse it at the end to frame the result.
- Junior — first React role / early-career. Weighted to fundamentals.
- Mid — shipping features independently; testing the why.
- Senior — architecture and failure-modes-under-load judgment.
What ships with it
13 files 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.
- cover.webp 40 KB
- principles.md 2.8 KB
- README.md 2.2 KB
- references/patterns-playbook.md 4.1 KB
- references/performance.md 1.9 KB
- references/react-docs.md 2.8 KB
- references/rules-of-hooks.md 3.0 KB
- references/severity-rubric.md 892 B
- references/state-data-flow.md 2.6 KB
- references/structure-boundaries.md 2.2 KB
- references/styling-motion.md 2.2 KB
- references/types-forms-a11y.md 1.7 KB
- scripts/banner.sh 1.7 KB runs code
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.
- 1mo ago First seen · 154 lines · 113 tokens per session scan A eb8c1dfc933c
react-senior-interview is a skill published in the GitHub repository the-senior-dev/senior-dev-skills (20 stars, last pushed 4mo ago), licensed MIT. It adds 113 tokens to every session and 2,197 once invoked, about $0.0005 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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