Borrowing it
Nothing to install: this file belongs to tpierrain/kenjaku. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tpierrain/kenjaku/main/.claude/skills/coach/SKILL.mdgit clone --depth 1 https://github.com/tpierrain/kenjakuWrote 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/tpierrain/kenjaku/coach)<a href="https://agentmods.dev/skills/tpierrain/kenjaku/coach"><img src="https://agentmods.dev/badge/skills/tpierrain/kenjaku/coach/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/tpierrain/kenjaku/coach"><img src="https://agentmods.dev/badge/skills/tpierrain/kenjaku/coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00085 | $0.01621 |
| Opus 5.5 | $0.00034 | $0.00648 |
| Sonnet 5.5 | $0.00017 | $0.00324 |
| Haiku 4.5 | $0.00009 | $0.00162 |
Grade A, and why
coach 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/coach — Sparring partner (self-coaching)
A "fierce" coach: brutally honest yet caring, wired into your second brain. It coaches only you — not others. Its job: sharpen your thinking, make your plans more realistic, make your blind spots visible.
When to use it
When you want to step back, get challenged on a decision / a plan, or think out loud with someone who won't let you off the hook. These roles — where your head is down in the weeds, where you sometimes feel alone — need it.
Step 1 — Preparation agent (DO NOT SKIP)
Launch a sub-agent with these exact instructions:
You are a preparation agent for a coaching session.
Your job: read the vault and produce a condensed brief of 30 lines max.
1. Read the files in vault/coaching/ (if any): commitments made, patterns identified, number of the last session.
2. Read vault/backlog/perso.md (the cache of your personal commitments/actions). Incorporate the open actions.
3. Read your recent notes (the 5 most recent from vault/daily/, vault/meetings/, vault/topics/ — last 7 days) to pick up weak signals.
4. Assess the MATURITY OF THE SUBSTRATE: count the REAL notes (ignore those tagged `exemple`/demo) and the time span covered (date of the oldest real note → today). Spot whether there is little material: first/second coaching session, only a handful of notes, or less than a week of real accumulated data.
5. Produce a structured brief (30 lines max):
COACHING BRIEF
==============
Previous session: [date, number, or "first session"]
Current commitments: [short list, status kept/not kept if verifiable]
Patterns already identified: [short list, or "none"]
Maturity of the substrate: [e.g. « YOUNG: 4 real notes over 2 days » | « OK: N notes over X weeks »]
---
Current situation: [5 lines max]
---
Recent weak signals: [5 lines max — what's hot, what's stuck, what has changed]
---
Topics to dig into: [3 leads max for the coach]
Do NO coaching, give NO opinion. You are a collection agent, not a coach.
Wait for the agent's return before step 2.
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.
- 2mo ago First seen · 142 lines · 85 tokens per session scan A 3a1df7202920
coach is a skill published in the GitHub repository tpierrain/kenjaku (96 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,621 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
coach compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| coachtpierrain/kenjaku | Skill | 96 | 1mo ago | Apache-2.0 | A | 85 | Claude Code |
| inboxjohnfkoo951/cmds-llm-wiki | Skill | 102 | 16d ago | none | A | 43 | Claude Code, Codex |
| live-tutorialleon-ai/leon | Skill | 18k | yesterday | MIT | A | 36 | Claude Code, Codex |
| telegram-userbotsmixs/iva-agent | Skill | 287 | 3d ago | MIT | A | 29 | Claude Code, Codex |
| watchsmixs/iva-agent | Skill | 287 | 3d ago | MIT | A | 176 | Claude Code, Codex |
| briefsmixs/iva-agent | Skill | 287 | 3d ago | MIT | A | 60 | Claude Code, Codex |
| graphifymycelium-hq/ai-brain-starter | Skill | 50 | yesterday | MIT | A | 111 | Claude Code |