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yyl-benchmark-breakdown

yyl-benchmark-breakdown is a skill for Claude Code from ttfake92-lab/skills. It costs 186 tokens per session (2,630 once invoked), scanned A, original, no licence file.

A content-analysis workflow for studying another creator or competitor from a link. It identifies the platform and scope, then breaks down the content, visuals, speech, audience persona, and positioning.

In plain words
What is it for?
It is for analysing content from Douyin, Xiaohongshu, Bilibili, YouTube, or WeChat Official Accounts, including individual posts and whole accounts, and saving the findings in a benchmarks folder.
Why use it?
It helps explain why a video, post, or account performs well without relying only on its caption or headline.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the yuyile-skills plugin — 11 skills shipped together

not rated 326repo +4 7d ago A scan Socket: warnSnyk: warn 186 tokens no licence

Good fit It is for analysing content from Douyin, Xiaohongshu, Bilibili, YouTube, or WeChat Official Accounts, including individual posts and whole accounts, and saving the findings in a benchmarks folder.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ttfake92-lab/skills/yyl-benchmark-breakdown
View source ↗ ttfake92-lab/skills
Install

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.

Any agent
npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown
Clone the repo
git clone --depth 1 https://github.com/ttfake92-lab/skills

Made for: Claude Code.

Or install yuyile-skills, the plugin that ships this one along with the rest of its 11 skills.

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 yyl-benchmark-breakdown

README.md
[![agentmods](https://agentmods.dev/badge/skills/ttfake92-lab/skills/yyl-benchmark-breakdown/github.svg)](https://agentmods.dev/skills/ttfake92-lab/skills/yyl-benchmark-breakdown)
Your own site
<a href="https://agentmods.dev/skills/ttfake92-lab/skills/yyl-benchmark-breakdown"><img src="https://agentmods.dev/badge/skills/ttfake92-lab/skills/yyl-benchmark-breakdown/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 yyl-benchmark-breakdown

Your own site · 80×15
<a href="https://agentmods.dev/skills/ttfake92-lab/skills/yyl-benchmark-breakdown"><img src="https://agentmods.dev/badge/skills/ttfake92-lab/skills/yyl-benchmark-breakdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,630 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. Third-party audits
  • Socket warn 5 Jul 2026
  • Snyk warn 5 Jul 2026
How audits are shown
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 $0.00186 $0.02630
Opus 5.5 $0.00074 $0.01052
Sonnet 5.5 $0.00037 $0.00526
Haiku 4.5 $0.00019 $0.00263

Measured 2mo ago against content hash ede154f5d418, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

yyl-benchmark-breakdown 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 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/bootstrap-local-apis.sh, scripts/check-deps.sh, scripts/prepare-assets.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- 抖音 / TikTok / Bilibili → Douyin_TikTok_Download_API:`curl http://localhost:80/api/hybrid/video_data?url=...`
skills/yyl-benchmark-breakdown/SKILL.md · 99 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

11 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.

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. 2mo ago First seen · 99 lines · 186 tokens per session scan A ede154f5d418

Subscribe to this mod's changes

yyl-benchmark-breakdown is a skill published in the GitHub repository ttfake92-lab/skills (326 stars, last pushed 7d ago), with no licence file. It adds 186 tokens to every session and 2,630 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Marketing and SEOResearch
Related

yyl-benchmark-breakdown compared with skills from other repositories

yyl-benchmark-breakdown next to 6 skills from other repositories
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yyl-benchmark-breakdownttfake92-lab/skillsSkill3267d agononeA186Claude Code
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code