Agent skill

Hashtag Science

by revfactory in revfactory/harness-100

해시태그분석가(hashtag-analyst)가 사용하는 해시태그 과학 전문 스킬. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passed

Install Hashtag Science

skills CLI
$ npx skills add revfactory/harness-100 --skill hashtag-science -a claude-code

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

GitHub CLI
$ gh skill install revfactory/harness-100 hashtag-science --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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/10-social-media-manager/.claude/skills/hashtag-science .claude/skills/hashtag-science && 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
hashtag-science
GitHub stars
1.3k
Token cost
~697 tokens
SKILL.md length
332 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

해시태그분석가(hashtag-analyst)가 사용하는 해시태그 과학 전문 스킬. An agent skill from revfactory/harness-100.

  • Works in 3 steps: 시드 키워드 수집 → 해시태그 분석 매트릭스 → 세트 구성
  • SKILL.md covers 왜 해시태그 "과학"인가, 해시태그 피라미드 전략, 플랫폼별 해시태그 전략 and 해시태그 리서치 프로세스, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hashtag Science is an agent skill from revfactory/harness-100. 해시태그분석가(hashtag-analyst)가 사용하는 해시태그 과학 전문 스킬. 해시태그 피라미드 전략, 경쟁도 분석, 트렌드 예측, 플랫폼별 최적 해시태그 전략을 제공한다. '해시태그', '키워드 전략', '트렌드 분석', '해시태그 리서치' 등에 활용한다.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is Apache-2.0.

Example prompts

  • “/hashtag-science”

Workflow steps

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

  1. 시드 키워드 수집
  2. 해시태그 분석 매트릭스
  3. 세트 구성

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. 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

Hashtag Science loads about 697 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 332 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~697

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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 332 words, ~697 tokens.

Download SKILL.mdSave it as .claude/skills/hashtag-science/SKILL.md (or your agent's skills folder).
name
hashtag-science
description
해시태그분석가(hashtag-analyst)가 사용하는 해시태그 과학 전문 스킬. 해시태그 피라미드 전략, 경쟁도 분석, 트렌드 예측, 플랫폼별 최적 해시태그 전략을 제공한다. '해시태그', '키워드 전략', '트렌드 분석', '해시태그 리서치' 등에 활용한다.

Hashtag Science — 해시태그 과학 방법론

hashtag-analyst 에이전트가 해시태그 전략을 설계할 때 활용하는 전문 지식.

왜 해시태그 "과학"인가

해시태그는 감으로 붙이는 것이 아니다. 검색 가능성, 경쟁도, 타깃 정확도를 계산하여 최적 조합을 설계하는 것이다.

해시태그 피라미드 전략

        ╱╲
       ╱ 1 ╲  ← 대형 (100만+ 게시물)
      ╱─────╲     2~3개: 운이 좋으면 발견
     ╱   2    ╲  ← 중형 (10만~100만)
    ╱───────────╲     5~7개: 핵심 전장
   ╱      3       ╲  ← 소형 (1만~10만)
  ╱─────────────────╲     5~8개: 타깃 도달
 ╱         4          ╲  ← 니치 (1만 미만)
╱───────────────────────╲     3~5개: 커뮤니티 진입
계층별 역할
계층게시물 수역할전략
대형100만+카테고리 표시#마케팅, #스타트업 — 최대 3개
중형10만~100만핵심 도달타깃의 실제 검색어 — 5~7개
소형1만~10만경쟁 우위구체적 주제어 — 5~8개
니치1만 미만커뮤니티업계 전문 용어 — 3~5개
브랜드자체추적/캠페인#브랜드명, #캠페인명 — 1~2개

플랫폼별 해시태그 전략

Instagram
항목권장
개수1525개 (최대 30개 중 2025개 사용)
배치캡션 하단 또는 첫 댓글
구성피라미드 비율 준수
금지금지 해시태그 (shadowban 위험), 무관한 대형 태그
로테이션매 포스트마다 30% 이상 교체 (반복 = 스팸 판정)
TikTok
항목권장
개수3~5개 (캡션 글자수 제한)
배치캡션에 직접
구성트렌드 12개 + 니치 23개
특수#fyp #foryou는 효과 없음 (공식 부정)
전략트렌드 사운드 + 니치 해시태그 조합이 최적
LinkedIn
항목권장
개수3~5개 (과다 사용 시 스팸 판정)
배치포스트 맨 하단
구성산업 키워드 23개 + 직군 키워드 12개
전략팔로우 가능한 해시태그 활용 (#마케팅, #스타트업)
X/Twitter
항목권장
개수1~2개 (3개 이상은 engagement 감소)
배치트윗 본문에 자연스럽게
구성트렌딩 1개 + 니치 1개
전략해시태그보다 키워드 자연 삽입이 더 효과적

해시태그 리서치 프로세스

Step 1: 시드 키워드 수집
소스방법
경쟁사경쟁 계정의 인기 포스트 해시태그 수집
자동완성인스타/틱톡 검색창에 키워드 입력 → 자동완성 수집
관련 태그해시태그 페이지의 "관련 해시태그" 수집
커뮤니티타깃 독자가 사용하는 해시태그 관찰
Step 2: 해시태그 분석 매트릭스
해시태그게시물 수계층관련도경쟁도최종 점수
#[태그]XXX,XXX대/중/소/니치1~51~5가중 합계
최종 점수 = (관련도 x 0.5) + (적정 경쟁도 x 0.3) + (최신 트렌드 x 0.2)

- 관련도: 콘텐츠와 정확히 일치하는 정도
- 적정 경쟁도: 너무 높지도, 너무 낮지도 않은 것이 최적 (역U자 곡선)
- 최신 트렌드: 성장 중인 태그는 가산점
Step 3: 세트 구성

포스트 유형별 해시태그 세트를 사전 구성한다:

[교육 콘텐츠 세트]
대형: #마케팅 #비즈니스
중형: #마케팅전략 #디지털마케팅 #콘텐츠마케팅 #SNS마케팅 #마케팅팁
소형: #마케팅공부 #마케터일상 #퍼포먼스마케팅 #그로스해킹 #브랜딩전략
니치: #마케터성장 #주니어마케터 #마케팅실무
브랜드: #브랜드명

[제품 소개 세트]
[커뮤니티 세트]
[트렌드 세트]

금지 해시태그 관리

Shadowban 위험 해시태그

일부 해시태그는 Instagram 등에서 콘텐츠 노출을 제한하는 "섀도우밴" 대상이 될 수 있다:

  • 성적/폭력적 의미로 오용되는 해시태그
  • 스팸 봇이 대량 사용하는 해시태그
  • 특정 시기에 임시 제한되는 해시태그
방지 전략
  1. 사용 전에 해시태그를 검색하여 정상 노출되는지 확인
  2. "최신 게시물" 탭이 비어있으면 제한 가능성
  3. 해시태그 세트를 매번 30% 이상 교체
  4. 콘텐츠와 무관한 대형 해시태그 사용 금지

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ko/10-social-media-manager/.claude/skills/hashtag-science of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Hashtag Science 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.

Hashtag Science compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hashtag Science this skillrevfactory/harness-1001.3k—~697Automated safety check: PassApache-2.0
Tiktok Hashtag Videosbrowser-act/skills6.1k—~2kAutomated safety check: PassMIT
Financial Analystalirezarezvani/claude-skills28k1 repos~1.8kAutomated safety check: PassMIT
Statistical Analystalirezarezvani/claude-skills28k—~2.5kAutomated safety check: PassMIT
Instagram Hashtag Postsbrowser-act/skills6.1k—~1.6kAutomated safety check: PassMIT
Data AnalystRightNow-AI/openfang18k—~730Automated safety check: PassApache-2.0

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Questions about Hashtag Science

What does Hashtag Science do?

해시태그분석가(hashtag-analyst)가 사용하는 해시태그 과학 전문 스킬. An agent skill from revfactory/harness-100. Hashtag Science is an agent skill from revfactory/harness-100. 해시태그분석가(hashtag-analyst)가 사용하는 해시태그 과학 전문 스킬.

How do I install Hashtag Science in Claude Code?

Run `npx skills add revfactory/harness-100 --skill hashtag-science -a claude-code`. Or copy the skill folder (ko/10-social-media-manager/.claude/skills/hashtag-science in revfactory/harness-100) into .claude/skills/hashtag-science in your project. Claude Code loads it when a task matches its description.

How do I install Hashtag Science in Codex?

Run `npx skills add revfactory/harness-100 --skill hashtag-science -a codex`. Or copy the skill folder (ko/10-social-media-manager/.claude/skills/hashtag-science in revfactory/harness-100) into .agents/skills/hashtag-science in your project. Codex loads it when a task matches its description.

Can I use Hashtag Science 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 revfactory/harness-100 --skill hashtag-science -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hashtag-science, .gemini/skills/hashtag-science, .github/skills/hashtag-science and .opencode/skills/hashtag-science in your project.

What does Hashtag Science need to run?

SKILL.md names no scripts, command-line tools or credentials: Hashtag Science is instructions for the agent only.

Does Hashtag Science 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 Hashtag Science 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 Hashtag Science use?

Hashtag Science is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hashtag Science use?

About 697 tokens (SKILL.md is roughly 2.8k 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 Hashtag Science?

Skills that share tags, products or a category with Hashtag Science: Tiktok Hashtag Videos (browser-act/skills, 6.1k stars), Financial Analyst (alirezarezvani/claude-skills, 28k stars), Statistical Analyst (alirezarezvani/claude-skills, 28k stars) and Instagram Hashtag Posts (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hashtag Science?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,295 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.