Agent skill

Five-Filter Benchmark Analysis

by dontbesilent2025 in dontbesilent2025/dbskill

Chinese-language business coach that finds worthwhile benchmarks to imitate by running candidates through five filters and checking how closely you copy them.

Custom licenceAuto-check passedBusiness, Finance & HR

SKILL.md written in Chinese; this summary is our English description.

Install Five-Filter Benchmark Analysis

skills CLI
$ npx skills add dontbesilent2025/dbskill --skill dbs-benchmark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dontbesilent2025/dbskill dbs-benchmark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dbs-benchmark .claude/skills/dbs-benchmark && rm -rf skills-src

Use ~/.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/

Facts

Skill name
dbs-benchmark
GitHub stars
11k
Token cost
~922 tokens
SKILL.md length
188 words
Files
2
Skills in repo
37
Repo updated
First seen
Licence
Custom licence

At a glance

Chinese-language business coach that finds worthwhile benchmarks to imitate by running candidates through five filters and checking how closely you copy them.

  • Works in 4 steps: :搞清楚用户现在的状态 → :五重过滤 → :输出对标分析 → …
  • Choosing a competitor or peer business to imitate
  • SKILL.md covers 核心哲学, 对标流程, 说话风格 and 内联案例库, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Written in Chinese in a deliberately blunt voice, this skill helps a user choose which business to imitate. It first asks what the user is doing now, then runs each candidate through five filters: does it make money (profit at least 10 times the user's current or expected income), can you understand how it earns, can you copy its acquisition, conversion and delivery, exclude yourself from the discussion, and skip debate about the nature of the business.

Its stated beliefs are that imitation is the right answer at the zero-to-one stage, that the granularity of imitation decides its quality, and that profit is the only standard. Each surviving benchmark gets a written analysis, and an execution check compares the user with the benchmark across price, naming, platform, content form and frequency, copy tone, delivery and promotion, with extra platform rows such as account launch and ad spend. It refuses to argue why a benchmark does not suit the user and avoids differentiation talk.

When your agent uses it

  • Choosing a competitor or peer business to imitate
  • Filtering benchmark candidates by profit and feasibility
  • Checking how closely your offer matches the benchmark you copy

Example prompts

  • “Help me find a benchmark business worth imitating for my new course.”
  • “Run these three candidate competitors through the five filters.”
  • “Compare my account with my benchmark account across pricing, content form and posting frequency.”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. :搞清楚用户现在的状态
  2. :五重过滤
  3. :输出对标分析
  4. :模仿执行检查

What it can do on your machine

Read from SKILL.md and the folder at commit 8d3ed39. 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

Five-Filter Benchmark Analysis loads about 922 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 188 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~922

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 188 words (~922 tokens).

name
dbs-benchmark

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/dbs-benchmark of dontbesilent2025/dbskill.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 8d3ed39

Compare with similar skills

Five-Filter Benchmark Analysis 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.

Five-Filter Benchmark Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Five-Filter Benchmark Analysis this skilldontbesilent2025/dbskill11k—~922Automated safety check: PassCustom licence
C Level AdvisorLeoYeAI/openclaw-master-skills2.2k—~1.6kAutomated safety check: PassMIT
Strategy Frameworksmagnus919/hermes-profiles289—~1.1kAutomated safety check: PassMIT
Startup Pressure TestKappaemme-git/codex-startup-pressure-test-skill990—~1.2kAutomated safety check: PassMIT
7 Powers Analysisamplitude/builder-skills159—~1.1kAutomated safety check: PassNone
Product Strategistdavila7/claude-code-templates33k3 repos~248Automated safety check: PassMIT

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Questions about Five-Filter Benchmark Analysis

What does Five-Filter Benchmark Analysis do?

Chinese-language business coach that finds worthwhile benchmarks to imitate by running candidates through five filters and checking how closely you copy them. Written in Chinese in a deliberately blunt voice, this skill helps a user choose which business to imitate. It first asks what the user is doing now, then runs each candidate through five filters: does it make money (profit at least 10 times the user's current or expected income), can you understand how it earns, can you copy its acquisition, conversion and delivery, exclude yourself from the discussion, and skip debate about the nature of the business.

When should I use Five-Filter Benchmark Analysis?

Five-Filter Benchmark Analysis fits situations like: choosing a competitor or peer business to imitate; filtering benchmark candidates by profit and feasibility; checking how closely your offer matches the benchmark you copy.

How do I install Five-Filter Benchmark Analysis in Claude Code?

Run `npx skills add dontbesilent2025/dbskill --skill dbs-benchmark -a claude-code`. Or copy the skill folder (skills/dbs-benchmark in dontbesilent2025/dbskill) into .claude/skills/dbs-benchmark in your project. Claude Code loads it when a task matches its description.

How do I install Five-Filter Benchmark Analysis in Codex?

Run `npx skills add dontbesilent2025/dbskill --skill dbs-benchmark -a codex`. Or copy the skill folder (skills/dbs-benchmark in dontbesilent2025/dbskill) into .agents/skills/dbs-benchmark in your project. Codex loads it when a task matches its description.

Can I use Five-Filter Benchmark Analysis 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 dontbesilent2025/dbskill --skill dbs-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/dbs-benchmark, .gemini/skills/dbs-benchmark, .github/skills/dbs-benchmark and .opencode/skills/dbs-benchmark in your project.

What does Five-Filter Benchmark Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Five-Filter Benchmark Analysis is instructions for the agent only.

Does Five-Filter Benchmark Analysis 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 Five-Filter Benchmark Analysis 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 Five-Filter Benchmark Analysis use?

Five-Filter Benchmark Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Five-Filter Benchmark Analysis use?

About 922 tokens (SKILL.md is roughly 3.7k 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 Five-Filter Benchmark Analysis?

Skills that share tags, products or a category with Five-Filter Benchmark Analysis: C Level Advisor (LeoYeAI/openclaw-master-skills, 2.2k stars), Strategy Frameworks (magnus919/hermes-profiles, 289 stars), Startup Pressure Test (Kappaemme-git/codex-startup-pressure-test-skill, 990 stars) and 7 Powers Analysis (amplitude/builder-skills, 159 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Five-Filter Benchmark Analysis?

dontbesilent2025 (a GitHub user) maintains it in dontbesilent2025/dbskill, which has 10,589 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 10, 2026.

Source: dontbesilent2025/dbskill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.