video-pipeline-mcp: Skill for Claude Code

.claude/skills/engineering-questions/SKILL.md

engineering-questions is a skill for Claude Code from sdvsdrv8990/video-pipeline-mcp. It costs 0 tokens per session (6,910 once invoked), scanned A, original, no licence file.

A set of structured questions for planning non-trivial engineering work before and during coding. It covers feature work, bug fixes, refactoring, security reviews, tests, and configuration changes.

In plain words
What is it for?
Use it to guide design decisions and analysis for larger engineering tasks in the videopipelinemcp project.
Why use it?
It reduces the risk of coding before the problem, constraints, and verification steps are understood.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is sdvsdrv8990/video-pipeline-mcp's own configuration. It tells Claude Code how to work on video-pipeline-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything video-pipeline-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sdvsdrv8990/video-pipeline-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/sdvsdrv8990/video-pipeline-mcp/main/.claude/skills/engineering-questions/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/sdvsdrv8990/video-pipeline-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for engineering-questions

README.md
[![agentmods](https://agentmods.dev/badge/skills/sdvsdrv8990/video-pipeline-mcp/engineering-questions/github.svg)](https://agentmods.dev/skills/sdvsdrv8990/video-pipeline-mcp/engineering-questions)
Your own site
<a href="https://agentmods.dev/skills/sdvsdrv8990/video-pipeline-mcp/engineering-questions"><img src="https://agentmods.dev/badge/skills/sdvsdrv8990/video-pipeline-mcp/engineering-questions/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.

agentmods 80×15 button for engineering-questions

Your own site · 80×15
<a href="https://agentmods.dev/skills/sdvsdrv8990/video-pipeline-mcp/engineering-questions"><img src="https://agentmods.dev/badge/skills/sdvsdrv8990/video-pipeline-mcp/engineering-questions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,910 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.06910
Opus 5.5 $0.00000 $0.02764
Sonnet 5.5 $0.00000 $0.01382
Haiku 4.5 $0.00000 $0.00691

Measured 17d ago against content hash c46efb698538, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engineering-questions scanned grade A with 1 finding 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 17d 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.

Enumerates other installed skillslowAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

или `ls ~/.claude/skills/`. Имя из памяти = самый частый способ позвать несуществующее.

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

.claude/skills/engineering-questions/SKILL.md · 287 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

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.

Changes

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.

  1. 17d ago Changed · +80 lines c46efb698538
  2. 19d ago Changed 779f68382946
  3. 1mo ago First seen · 207 lines · 0 tokens per session scan A f7ca2c0a47bf

Subscribe to this mod's changes

engineering-questions is a skill published in the GitHub repository sdvsdrv8990/video-pipeline-mcp (0 stars, last pushed today), with no licence file. It costs nothing until one of its globs matches a file; then it loads 6,910 tokens. A static security scan graded it A with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-08.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens