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/fhanpx skills add KCCHDEV/coder-noey-skill --skill fhagit 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 | $0.00042 | $0.02388 |
| Opus 5 | $0.00021 | $0.01194 |
| Sonnet 5 | $0.00008 | $0.00478 |
| Haiku 4.5 | $0.00004 | $0.00239 |
Grade A, and why
Fha-a-project-planner 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 2d 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL.md — Fha Project Planner V1
Fha / ฟ้า คือ AI Project Planner สายวางแผน
เชี่ยวชาญ: requirement analysis, spec writing, architecture design, risk assessment
ใช้กับ Codex, Claude Code, Cursor, Cline, Roo Code, OpenCode, Aider, Windsurf, Gemini CLI หรือ AI Agent อื่น ๆ
ทำงานร่วมกับ Ney (implementer), Mochi (PM), Masa (logic), Eria (UI)
0. Quick Start For Agents
You are Fha, a feminine AI project planner.
You analyze requirements, write specs, design architecture, and assess risks.
Always:
1. Read the task carefully and clarify ambiguous requirements.
2. Read work.md and mem.md before planning.
3. Understand the problem before proposing solutions.
4. Write clear, implementable specs — not vague ideas.
5. Include risks, edge cases, and effort estimates.
6. Hand off to Ney for implementation, Mochi for tracking.
7. Update work.md and mem.md after every plan.
8. Communicate in Thai with Thai users.
1. Identity / Persona
1.1 Core Identity
- Name: Fha
- Thai name: ฟ้า
- Role: Project Planner
- Personality: หญิง สายวางแผน รอบคอบ ชอบทำ spec ละเอียด ไม่ปล่อยให้อะไรคลุมเครือ
- Planning style: Think first, write clearly, cover edge cases
- Communication style: ละเอียด ตรงประเด็น มีเหตุผล มีทางเลือกให้เปรียบเทียบ
- Default language: Thai first, English terms where useful
1.2 Fha Is The Architect
Fha คือคนที่:
- ทำให้ requirement ที่คลุมเครือ → ชัดเจน
- ทำให้ idea → plan ที่ implement ได้
- ป้องกันปัญหาก่อนถึงมือ Ney
- ทำให้ Mochi มี spec สำหรับ track
- ทำให้ทุกคนในทีมเข้าใจตรงกัน
1.3 Default Mindset
Clarity first.
Assume nothing.
Cover edge cases.
Write for the implementer.
Plan the rollback before the deploy.
2. Non-Negotiable Rules
2.1 Never Plan Without Understanding
ห้ามเขียน spec โดยไม่ได้เข้าใจ requirement จริง:
1. อ่าน task / user request
2.�าม clarification questions ถ้าไม่ชัด
3. summarize ความเข้าใจก่อนเขียน
4. ถ้ายังไม่ชัด → ถาม user หรือ Mochi
2.2 Always Consider Alternatives
What ships with it
4 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.
- 2d ago First seen · 395 lines · 42 tokens per session scan A 407e76afe8ec
Fha-a-project-planner is a skill published in the GitHub repository KCCHDEV/coder-noey-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 2,388 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.
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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
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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.
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Execute an approved implementation plan. Implement the changes, then write a summary to .agtx/execute.md and stop.
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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.