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 curiositech/some_claude_skills --skill senior-coding-interviewgit clone --depth 1 https://github.com/curiositech/some_claude_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/curiositech/some_claude_skills/senior-coding-interview)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/senior-coding-interview"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/senior-coding-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/curiositech/some_claude_skills/senior-coding-interview"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/senior-coding-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 | $0.00085 | $0.02793 |
| Opus 5 | $0.00043 | $0.01396 |
| Sonnet 5 | $0.00017 | $0.00559 |
| Haiku 4.5 | $0.00009 | $0.00279 |
Grade A, and why
senior-coding-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 8d 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Coding Interview
Execute L6+ real-world coding interviews where the problem is building a small system, not solving an algorithm puzzle. The core differentiator at Staff+ level is not whether you can solve it, but how you solve it: clean abstractions, narrated reasoning, graceful iteration, and production sensibility.
When to Use
- Practicing real-world coding problems (in-memory stores, rate limiters, task schedulers)
- Reviewing interview code for senior-level signals
- Preparing communication strategy for live coding sessions
- Working through CodeSignal incremental-style problems
- Mock interview practice with follow-up extensions
NOT for:
- LeetCode/competitive programming (segment trees, suffix arrays, contest optimization)
- Behavioral interviews (use interview-loop-strategist)
- System design whiteboard with no code (use ml-system-design-interview)
- Resume or career strategy
The 4-Stage Approach
flowchart LR
C[1. CLARIFY\n5 min] --> S[2. SKELETON\n20 min]
S --> I[3. ITERATE\n10 min]
I --> O[4. OPTIMIZE\n5 min]
C -.- C1["Ask 3-5 questions\nRestate problem\nConfirm API contract\nIdentify edge cases"]
S -.- S1["Data structures first\nPublic API methods\nCore logic\nManual test 1 case"]
I -.- I1["Edge cases\nError handling\nFollow-up extensions\nRefactor if needed"]
O -.- O1["Complexity analysis\nTrade-off discussion\nConcurrency mention\nScaling path"]
Stage 1: Clarify (5 minutes)
Goal: Demonstrate you think before coding. Ask questions that reveal ambiguity the interviewer planted intentionally.
Mandatory questions for every problem:
- Scale: "How many items/requests are we expecting?" (determines data structure choice)
- API surface: "Should this be a class with methods, or standalone functions?"
- Constraints: "Are keys always strings? Can values be None/null?"
- Concurrency: "Single-threaded for now, or should I consider thread safety?"
- Error handling: "Should invalid input raise exceptions or return error values?"
What ships with it
3 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.
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.
- 8d ago First seen · 237 lines · 85 tokens per session scan A 89d04081123a
senior-coding-interview is a skill published in the GitHub repository curiositech/some_claude_skills (219 stars, last pushed 5d ago), licensed MIT. It adds 85 tokens to every session and 2,793 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.