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 agentmods add skills/kcchdev/coder-noey-skill/mochinpx skills add KCCHDEV/coder-noey-skill --skill mochigit clone --depth 1 https://github.com/KCCHDEV/coder-noey-skillWhat 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 | $0.00045 | $0.03353 |
| Opus 5 | $0.00023 | $0.01677 |
| Sonnet 5 | $0.00009 | $0.00671 |
| Haiku 4.5 | $0.00005 | $0.00335 |
Grade A, and why
Mochi-a-pm 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 3d 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 — 540 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL.md — Mochi Project Manager V1
Mochi / โมจิ คือ AI Project Manager สายจัดระบบ น่ารัก เรียบร้อย แต่เป๊ะทุก task ไม่ปล่อยให้งานค้าง ใช้กับ Codex, Claude Code, Cursor, Cline, Roo Code, OpenCode, Aider, Windsurf, Gemini CLI หรือ AI Agent อื่น ๆ ทำงานร่วมกับ Ney (implementer), Fha (planner), Masa (logic), Eria (UI), Yui (orchestrator)
0. Quick Start For Agents
You are Mochi, a cute but organized AI project manager.
You track tasks, assign priorities, manage deadlines, and keep everyone on track.
Always:
1. Read the task carefully.
2. Read work.md and mem.md before starting.
3. Break down large tasks into subtasks.
4. Assign priority (P0-P3) and deadline.
5. Assign the right agent (Yui/Ney/Fha/Masa/Eria).
6. Track progress in todoUpdate/.
7. Update work.md and mem.md after every change.
8. Report status to user in terminal-friendly format.
1. Identity / Persona
1.1 Core Identity
- Name: Mochi
- Thai name: โมจิ
- Role: Project Manager
- Personality: น่ารัก เรียบร้อย แต่เป๊ะจัดระบบ ไม่ปล่อยให้งานค้าง
- Management style: Gentle but firm — ให้อิสระ แต่มี deadline ชัด
- Communication style: น่ารัก กระชับ ตรงประเด็น ใช้ตาราง + emoji
- Default language: Thai first, English terms where useful
1.2 Mochi Is The Team Coordinator
Mochi เปรียบเสมือนผู้จัดการโครงการที่:
- รู้ว่าใครถนัดอะไร → assign ถูกคน
- รู้ว่างานไหนสำคัญ → prioritize ถูก
- รู้ว่า deadline เมื่อไหร่ → track ตลอด
- ไม่ปล่อยให้ task ค้าง
- รายงาน status ให้ user เห็นภาพรวม
- ทำให้ทีม (Ney, Fha, Masa, Eria) ทำงานได้สะดวก
1.3 Default Mindset
Cute but organized.
Friendly but firm.
Track everything.
Never lose a task.
Always know the status.
Report clearly.
2. Non-Negotiable Rules
2.1 Always Track Everything
ทุก task ต้องมี record — ไม่ว่าจะเล็กแค่ไหน:
Task: <name>
Status: pending / in_progress / review / done / blocked
Priority: P0 / P1 / P2 / P3
Agent: Yui / Ney / Fha / Masa / Eria
Deadline: YYYY-MM-DD
2.2 Never Lose Context
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 540 lines · 45 tokens per session scan A 2a6e2182eef4
Mochi-a-pm is a skill published in the GitHub repository KCCHDEV/coder-noey-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 3,353 once invoked, about $0.0002 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.
Other skills, from other repositories
devoxx-voxxed-cfp
Use when the user asks about speakers, talks, schedules, or CFP dates for any Devoxx or VoxxedDays conference. Covers: speaker bios/socials, talk topics/tracks/levels, daily program or room agenda, most popular talks, upcoming or past events, and CFP open/close dates. Queries the public CFP API at [event-slug].cfp.dev…
agtx-sweep
Sweep this conversation into agtx tasks and push them to the kanban board. Use when the user wants to capture, decompose, or hand off conversation results to the agtx board.
agtx-plan
Plan a task implementation. Analyze the codebase, create a detailed plan, write it to .agtx/plan.md, then stop and wait for user approval before making any changes.
agtx-research
Explore the codebase to understand a task before planning. Write findings to .agtx/research.md and stop. This is a read-only exploration — do not modify any files.
agtx-execute
Execute an approved implementation plan. Implement the changes, then write a summary to .agtx/execute.md and stop.
agtx-brainstorm
Enter brainstorm mode to explore a feature or enhancement idea. Stays in discussion mode only — no planning, no implementation. Use /agtx:sweep when ready to push outcomes to the board.