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.
npx skills add kenshikobayashi/everything-claude-code-for-business --skill draft-slackgit clone --depth 1 https://github.com/kenshikobayashi/everything-claude-code-for-businessWrote 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.
[](https://agentmods.dev/skills/kenshikobayashi/everything-claude-code-for-business/draft-slack)<a href="https://agentmods.dev/skills/kenshikobayashi/everything-claude-code-for-business/draft-slack"><img src="https://agentmods.dev/badge/skills/kenshikobayashi/everything-claude-code-for-business/draft-slack/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.
<a href="https://agentmods.dev/skills/kenshikobayashi/everything-claude-code-for-business/draft-slack"><img src="https://agentmods.dev/badge/skills/kenshikobayashi/everything-claude-code-for-business/draft-slack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00010 | $0.00343 |
| Opus 5 | $0.00005 | $0.00171 |
| Sonnet 5 | $0.00002 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
draft-slack scanned grade A with 0 findings 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 9d ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are executing the /draft-slack command. Draft a Slack message.
Input
$ARGUMENTS — Purpose description, optionally with flags:
--channel [name]: Target channel--thread [url]: Reply to a specific thread--dm [user]: Direct message to a user
Steps
- Understand the purpose and target from the user's description
- Check context — If channel or thread specified, read recent messages for context
- Draft the message following Slack best practices:
- Keep top-level messages concise (under 3 short paragraphs)
- Use formatting: bold for key info, bullet points for lists
- Include @mentions only for people who need to take action
- Suggest appropriate emoji reactions (✅, 👀, 🔴) if relevant
- Present the draft
Output Format
## Slack Draft
**To**: [#channel / @user / thread]
---
[Message content]
---
### Notes
- **Tone**: [professional/casual/urgent]
- **Mentions**: [@name — reason for mention]
- **Thread?**: [Should this be a thread reply instead of top-level?]
Constraints
- NEVER send directly — always present as a draft
- Don't @here or @channel unless the user explicitly requests it
- For thread replies, maintain the tone and context of the existing thread
- Keep messages scannable — no walls of text
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.
- 9d ago First seen · 49 lines · 10 tokens per session scan A ca7645050d8a
draft-slack is a skill published in the GitHub repository kenshikobayashi/everything-claude-code-for-business (2 stars, last pushed 3mo ago), licensed MIT. It adds 10 tokens to every session and 343 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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