Benchmark
affaan-m/ECC
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after…
从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。
MITAuto-check passed
Install Sdt Benchmark
$ npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install StopDisTrain/sdt-skills sdt-benchmark --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sdt-benchmark .claude/skills/sdt-benchmark && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sdt-benchmark" agent skill from https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark into .claude/skills/sdt-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdt-benchmark", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmarkType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install StopDisTrain/sdt-skills sdt-benchmark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sdt-benchmark .agents/skills/sdt-benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sdt-benchmark" agent skill from https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark into .agents/skills/sdt-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdt-benchmark", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install StopDisTrain/sdt-skills sdt-benchmark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sdt-benchmark .cursor/skills/sdt-benchmark && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sdt-benchmark" agent skill from https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark into .cursor/skills/sdt-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdt-benchmark", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/StopDisTrain/sdt-skills.git --path skills/sdt-benchmark--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install StopDisTrain/sdt-skills sdt-benchmark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sdt-benchmark .gemini/skills/sdt-benchmark && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sdt-benchmark" agent skill from https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark into .gemini/skills/sdt-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdt-benchmark", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install StopDisTrain/sdt-skills sdt-benchmarkInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sdt-benchmark .github/skills/sdt-benchmark && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sdt-benchmark" agent skill from https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark into .github/skills/sdt-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdt-benchmark", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install StopDisTrain/sdt-skills sdt-benchmark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sdt-benchmark .opencode/skills/sdt-benchmark && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sdt-benchmark" agent skill from https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark into .opencode/skills/sdt-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdt-benchmark", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sdt-benchmark- GitHub stars
- 309
- Token cost
- ~309 tokens
- SKILL.md length
- 55 words
- Files
- 2
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。
- Works in 5 steps: 证据：链接、作者、时间和指标是否可核对。 → 相对表现：相对作者自身近期基线是否异常。 → 主体差异：明星、新闻、独家资源或投流是否承担了主要结果。 → …
- Low-follower breakout posts
- SKILL.md covers 五项过滤, 三条来源线, 低粉爆款判定 and 输出
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sdt Benchmark is an agent skill from StopDisTrain/sdt-skills. 从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。 English: Find public benchmark content that is genuinely learnable and transferable while filtering out celebrity effects, follower-size bias, and unique-resource noise. Use for low-follower breakout posts, niche benchmarks, adjacent audiences, or cross-category inspiration.
Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The repository describes itself as: SDT content research, creation and quality-control skills for Codex. The licence is MIT.
When your agent uses it
- Low-follower breakout posts
- Niche benchmarks
- Adjacent audiences
- Cross-category inspiration
Example prompts
- “/sdt-benchmark”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 证据：链接、作者、时间和指标是否可核对。
- 相对表现：相对作者自身近期基线是否异常。
- 主体差异：明星、新闻、独家资源或投流是否承担了主要结果。
- 机制可懂：能否说清哪种情绪、信息或叙事结构在起作用。
- 执行可仿：目标账号能否用真实资源重建机制，而不是复制表面。
What it can do on your machine
Read from SKILL.md and the folder at commit 0678cd0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Sdt Benchmark loads about 309 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 55 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from StopDisTrain/sdt-skills at commit 0678cd0, republished under its MIT licence (© StopDisTrain). 55 words, ~309 tokens.
Download SKILL.mdSave it as
.claude/skills/sdt-benchmark/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- sdt-benchmark
- description
- 从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。 English: Find public benchmark content that is genuinely learnable and transferable while filtering out celebrity effects, follower-size bias, and unique-resource noise. Use for low-follower breakout posts, niche benchmarks, adjacent audiences, or cross-category inspiration.
SDT 对标筛选
同时检查“是否看懂、是否可模仿、主体差异是否构成噪音”和单条内容的相对爆发证据。账号商业对标与单条内容对标使用不同标准，不把粉丝多等同于值得模仿。
五项过滤
- 证据：链接、作者、时间和指标是否可核对。
- 相对表现：相对作者自身近期基线是否异常。
- 主体差异：明星、新闻、独家资源或投流是否承担了主要结果。
- 机制可懂：能否说清哪种情绪、信息或叙事结构在起作用。
- 执行可仿：目标账号能否用真实资源重建机制，而不是复制表面。
三条来源线
- 垂直：同品类、同场景或同主题。
- 邻近：受众处境、人物身份或消费动机相似。
- 跨域：主题不同，但承重情绪和传播结构可迁移。
完整选题研究默认收集 6 条垂直、6 条邻近、8 条跨域候选；数据不足时如实缩减。
低粉爆款判定
优先使用：
viral_multiplier = note_likes / creator_recent_median_likes
正式对标视频先过绝对门槛：可见点赞数必须大于等于 3,000。点赞数小于 3,000、点赞不可见的视频不得进入正式对标池，最多标记为“灵感样本”。
通过绝对门槛后，主样本建议同时满足：
- 发布时间在约定范围内
- viral_multiplier 不低于 3
- 作者粉丝约为目标账号的 0.3–3 倍
- 收藏、评论或分享代理信号至少一项异常
- 承重机制可以在目标账号的真实资源内重建
跨域样本可放宽粉丝带，但必须提高迁移性审查。明星、重大新闻、昂贵独家资源、一次性奇观、不可核实结果和纯投流样本降级或剔除。
输出
逐条标记：
- 来源线
- 数据完整度
- 相对爆发证据
- 主体差异
- 可复制元素
- 不可复制元素
- 是否进入 sdt-spread
不要因为设置了 3,000 点赞硬门槛就只按点赞绝对值排序；过门槛后仍按相对爆发、主体差异和可迁移性筛选。
© StopDisTrain, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/sdt-benchmark of StopDisTrain/sdt-skills.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 0678cd0
Compare with similar skills
Sdt Benchmark next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sdt Benchmark this skillStopDisTrain/sdt-skills | 309 | — | ~309 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 275k | 3 repos | ~654 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 275k | — | ~412 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 275k | — | ~330 | Automated safety check: Pass | MIT | |
| Benchmarkandroidx/androidx | 6.1k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Benchmarksamchon/typia | 5.9k | — | ~1.2k | Automated safety check: Pass | MIT |
Similar skills
Benchmark
affaan-m/ECC
このスキルを使用して、パフォーマンスベースラインを測定し、PR前後の回帰を検出し、スタック代替案を比較します. An agent skill from affaan-m/ECC.
Benchmark
affaan-m/ECC
使用此技能测量性能基线，检测PR前后的回归，并比较堆栈替代方案。
Benchmark
androidx/androidx
Benchmarking and improving the performance of Jetpack Compose.
Benchmark
samchon/typia
Defines typia benchmark fixture integrity, result reporting, and publication safeguards.
Gstack Performance Benchmark
garrytan/gstack
Establishes page load, Core Web Vitals and resource-size baselines, then compares before and after on every pull request to track performance trends over time.
More from StopDisTrain/sdt-skills
All 15 skills in this repoSdt Topic
StopDisTrain/sdt-skills
把已验证的传播机制转成适合目标账号的内容选题，并完成生成、迁移、评分和筛选，让选题自然连接人设、产品或门店。用户要从低粉爆款、垂直样本、邻近受众或跨赛道内容中寻找新选题时使用。
Sdt
StopDisTrain/sdt-skills
SDT 内容生产工具箱的总入口：根据当前任务选择最合适的 sdt- 模块，既能完成标题、开头等单一步骤，也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill，或希望一站式完成内容生产时使用。
Sdt Research
StopDisTrain/sdt-skills
只读检索小红书公开内容，并把账号数据、标题、封面、互动量、作者近期内容和低粉爆款整理成可追溯证据。用户要求查公开账号或笔记数据时使用；不得点赞、收藏、评论、发布、删除或导出登录凭证。
Sdt Wechat HTML
StopDisTrain/sdt-skills
把已经完成并通过质检的 Markdown 内容转换成可粘贴到微信公众号后台的 HTML，并支持选择样式、生成预览和检查粘贴兼容性。用户要制作公众号排版稿或微信发布版本时使用。
Sdt Xhs Title
StopDisTrain/sdt-skills
根据主题、正文或已有标题生成并筛选小红书标题，提供改写和 A/B 方案，同时检查账号调性、真实性以及正文能否兑现标题承诺。用户要起标题、改标题、套用标题模式或检查标题时使用。
Sdt Account
StopDisTrain/sdt-skills
把账号链接、主页截图、产品说明和历史内容整理成可复用的账号档案，明确调性、人设、受众、产品连接和表达边界。用户要求分析账号定位、建立账号资料，或开始完整内容生产流程时使用。
Questions about Sdt Benchmark
What does Sdt Benchmark do?
从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。. Sdt Benchmark is an agent skill from StopDisTrain/sdt-skills. 从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。 English: Find public benchmark content that is genuinely learnable and transferable while filtering out celebrity effects, follower-size bias, and unique-resource noise.
When should I use Sdt Benchmark?
Sdt Benchmark fits situations like: low-follower breakout posts; niche benchmarks; adjacent audiences; cross-category inspiration.
How do I install Sdt Benchmark in Claude Code?
Run `npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a claude-code`. Or copy the skill folder (skills/sdt-benchmark in StopDisTrain/sdt-skills) into .claude/skills/sdt-benchmark in your project. Claude Code loads it when a task matches its description.
How do I install Sdt Benchmark in Codex?
Run `npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a codex`. Or copy the skill folder (skills/sdt-benchmark in StopDisTrain/sdt-skills) into .agents/skills/sdt-benchmark in your project. Codex loads it when a task matches its description.
Can I use Sdt Benchmark in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add StopDisTrain/sdt-skills --skill sdt-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdt-benchmark, .gemini/skills/sdt-benchmark, .github/skills/sdt-benchmark and .opencode/skills/sdt-benchmark in your project.
What does Sdt Benchmark need to run?
SKILL.md names no scripts, command-line tools or credentials: Sdt Benchmark is instructions for the agent only.
Does Sdt Benchmark access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sdt Benchmark safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Sdt Benchmark use?
Sdt Benchmark is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sdt Benchmark use?
About 309 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Sdt Benchmark?
Skills that share tags, products or a category with Sdt Benchmark: Benchmark (affaan-m/ECC, 275k stars), Benchmark (affaan-m/ECC, 275k stars), Benchmark (affaan-m/ECC, 275k stars) and Benchmark (androidx/androidx, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sdt Benchmark?
StopDisTrain (a GitHub user) maintains it in StopDisTrain/sdt-skills, which has 309 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on August 25, 2026.
Source: StopDisTrain/sdt-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.