Skills Guide

Slack Mention Checker

VerifiedSafe

Checks your personal mentions on Slack using a Python script. Displays recent mentions with channel, author, and direct links.

Download and use
Sby Skills Guide Bot
ProductivityBeginner
3/10/2026
Claude Code
#slack#mentions#notifications#search#messaging

Recommended for

Claude CodeProduct managerBeginnerProductivitySolo / indie hacker

Automated summary

Queries the Slack search API through a Python script to list recent messages that mention the user, including permalinks and channel names.

Strengths

  • A single command runs the search and prints a readable table (channel, author, text, permalink)
  • The result count is configurable with the --max option (default 20)
  • Every mention includes a direct permalink that jumps to the message in Slack

Limitations

  • Requires a Slack bot token with the search:read and users:read scopes
  • Search coverage is bounded by Slack's search history (roughly 10,000 messages on the free plan)
  • Relies on a specific script path inside the shiiman-slack plugin, so it depends on that setup
When to use it

Use it when you want to quickly check which Slack messages mention you without manually scanning channels.

When not to use it

Avoid it if no Slack bot token is configured or if you need results beyond the available search history.

Security analysis

Safe
Quality score86/100

The skill only reads Slack mentions via a local Python script using a bot token; it contains no destructive, exfiltration, or obfuscated actions. Bash use is narrowly scoped to the documented command.

No concerns found

How this analysis is made

Examples

Check recent mentions
メンション確認して。直近20件を表形式で見せて
Show more mentions
Slackメンションを50件まで一覧にして
Show mentions with links
自分へのメンションをパーマリンク付きで見せて

name: check-mentions description: Slack で自分へのメンションを確認する。「メンション確認」「Slackメンション」「自分へのメンション」「@mention を見せて」などで起動。Pythonスクリプト slack_message.py mentions を使用。 allowed-tools: [Bash, Read]

Mention Checker

Slack で自分へのメンションを確認します。

トリガー

  • 「メンション確認」
  • 「Slackメンション」
  • 「自分へのメンション」
  • 「@mention を見せて」
  • 「メンション一覧」

動作

  1. Pythonスクリプト slack_message.py mentions を実行
  2. 自分へのメンションを検索
  3. メンション一覧を整理して表示

実装

# Pythonスクリプトでメンション取得
python plugins/shiiman-slack/skills/mention-checker/scripts/slack_message.py mentions \
  --max 20 \
  --format table

出力例

# あなたへのメンション（直近20件）

メンション数: 5

channel         user        text                                    permalink
general         山田太郎    @you レビューお願いします               https://...
project-alpha   佐藤花子    @you 資料確認しました                   https://...
dev-team        田中一郎    @you バグ修正完了です                   https://...
random          木村さん    @you 明日の予定どうですか？             https://...
marketing       鈴木次郎    @you 新しい企画について相談したいです   https://...

機能

  • 検索: Slack Search APIで <@USER_ID> を検索
  • 最大件数: デフォルト20件、--max で変更可能
  • パーマリンク: 各メンションへの直接リンクを表示
  • チャンネル名: メンションがあったチャンネルを表示

必要な環境変数

export SLACK_BOT_TOKEN="xoxb-your-bot-token"

必要なスコープ

  • search:read - メッセージ検索
  • users:read - 自分のユーザーID取得

注意事項

  • Slack Search APIは検索履歴の制限があります（フリープランでは直近10,000メッセージ）
  • パーマリンクをクリックすると、該当メッセージに直接ジャンプできます

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/slack-mention-checker-mmk3nhtc' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/slack-mention-checker-mmk3nhtc/download' --output '.skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md.part' && mv '.skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md.part' '.skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md' && test -s '.skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/check-mentions' && cp -R '.skill-downloads/slack-mention-checker-mmk3nhtc' '.claude/skills/check-mentions'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/slack-mention-checker-mmk3nhtc'

openskills read 'slack-mention-checker-mmk3nhtc'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/slack-mention-checker-mmk3nhtc/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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