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 ntaffzii/Skill-Agents --skill thai-addressgit clone --depth 1 https://github.com/ntaffzii/Skill-AgentsWrote 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/ntaffzii/skill-agents/thai-address)<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/thai-address"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/thai-address/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/ntaffzii/skill-agents/thai-address"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/thai-address.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 | $0.00132 | $0.01242 |
| Opus 5 | $0.00066 | $0.00621 |
| Sonnet 5 | $0.00026 | $0.00248 |
| Haiku 4.5 | $0.00013 | $0.00124 |
Grade A, and why
thai-address 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thai Address Parsing
Overview
Thai addresses order components district-to-city the same broad direction as English (house number → subdistrict → district → province → postal code) but use Thai particle words (ตำบล/แขวง, อำเภอ/เขต, จังหวัด) that a naive English-address parser (split on commas, assume last token is a country) will mishandle — Bangkok uses แขวง/เขต instead of ตำบล/อำเภอ, and the parts can appear with or without abbreviations (ต./อ./จ.). This skill gives a regex-based extractor plus the 77-province reference table.
When to use
- แยกที่อยู่ไทยเป็นส่วนประกอบ (ตำบล, อำเภอ, จังหวัด, รหัสไปรษณีย์)
- หารหัสไปรษณีย์ 2 หลักแรก → จังหวัด (candidate lookup, not exact 5-digit resolution)
- Matching a province name across Thai/English spelling and with/without "จังหวัด"/"Province" wrapper
- Validating that a claimed province name is one of the real 77
When NOT to use
- The task needs the exact 5-digit postal code for a specific subdistrict — this skill narrows to province-level candidates from the first 2 digits only; direct the user to Thailand Post's official lookup for the precise code
- The address is non-Thai — use general address parsing instead
Core knowledge
- Thailand has 77 provinces (76 + Bangkok). Bangkok uses แขวง (subdistrict) / เขต (district) terminology; every other province uses ตำบล / อำเภอ.
- Postal codes are 5 digits. The first 2 digits identify a province-level zone in a well-documented sequential assignment (10 = Bangkok area, 20s = eastern seaboard, 30s-40s = northeast, 50s = north, 60s = lower-north/central, 70s = west, 80s-90s = south). The last 3 digits identify the specific post office/district — this skill does not resolve that level.
- Bangkok and Samut Prakan share the
10prefix; several other neighboring provinces' outlying districts can carry a prefix that "belongs" to an adjacent province's normal range. Treat a prefix match as a candidate list, not a certainty. - Standard field order in a full Thai address:
[เลขที่/บ้านเลขที่] [หมู่ที่] [ถนน] ตำบล/แขวง[X] อำเภอ/เขต[Y] จังหวัด[Z] [รหัสไปรษณีย์].
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.
- 9d ago First seen · 56 lines · 132 tokens per session scan A 2a0f361a70b3
thai-address is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed yesterday), licensed MIT. It adds 132 tokens to every session and 1,242 once invoked, about $0.0007 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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