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 one-on-one-prepgit 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/one-on-one-prep)<a href="https://agentmods.dev/skills/kenshikobayashi/everything-claude-code-for-business/one-on-one-prep"><img src="https://agentmods.dev/badge/skills/kenshikobayashi/everything-claude-code-for-business/one-on-one-prep/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/one-on-one-prep"><img src="https://agentmods.dev/badge/skills/kenshikobayashi/everything-claude-code-for-business/one-on-one-prep.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 | $0.00020 | $0.00468 |
| Opus 5 | $0.00010 | $0.00234 |
| Sonnet 5 | $0.00004 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
one-on-one-prep 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 12d 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 /one-on-one-prep command. Prepare for a 1-on-1 meeting.
Input
$ARGUMENTS — Person name
Steps
- Gather context on the person:
- Recent Slack/email interactions
- Their recent task completions and current workload
- Previous 1-on-1 notes (if stored in Notion)
- Any pending feedback to deliver
- Generate a suggested agenda:
- Check-in: How are they doing?
- Wins: Recent accomplishments to acknowledge
- Blockers: Issues they might need help with
- Growth: Career development, learning
- Feedback: Both directions
- Action items from previous 1-on-1
- Draft talking points for each agenda item
Output Format
## 1-on-1 Prep: [Person Name]
**Date**: [Date] | **Duration**: [Duration]
### Context
- Recent work: [what they've been working on]
- Mood signals: [any signals from Slack/communication patterns]
- Previous 1-on-1 action items: [status]
### Suggested Agenda
1. **Check-in** (5min) — How are you doing? Anything on your mind?
2. **Wins** (5min)
- [Specific accomplishment to acknowledge]
3. **Current work** (10min)
- [Topic to discuss]
- [Blocker to help with]
4. **Growth** (5min)
- [Career topic or learning opportunity]
5. **Feedback** (5min)
- To give: [specific, SBI-format feedback if any]
- To ask: "What can I do better as your manager?"
### Notes / Sensitive Topics
- [Anything to be aware of or handle carefully]
Constraints
- 1-on-1 content is private — never share or reference in group communications
- Use SBI (Situation-Behavior-Impact) format for feedback
- Balance positive recognition with constructive topics
- Leave room for the other person's agenda — don't fill every minute
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.
- 12d ago First seen · 60 lines · 20 tokens per session scan A e7e47e29d996
one-on-one-prep is a skill published in the GitHub repository kenshikobayashi/everything-claude-code-for-business (2 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 468 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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