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.
git clone --depth 1 https://github.com/minhnv0807/ai-business-skillsWrote 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/agents/minhnv0807/ai-business-skills/content-producer)<a href="https://agentmods.dev/agents/minhnv0807/ai-business-skills/content-producer"><img src="https://agentmods.dev/badge/agents/minhnv0807/ai-business-skills/content-producer/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/agents/minhnv0807/ai-business-skills/content-producer"><img src="https://agentmods.dev/badge/agents/minhnv0807/ai-business-skills/content-producer.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 | $0.00023 | $0.01697 |
| Opus 5.5 | $0.00009 | $0.00679 |
| Sonnet 5.5 | $0.00005 | $0.00339 |
| Haiku 4.5 | $0.00002 | $0.00170 |
Grade A, and why
content-producer 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 1mo 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Producer Agent
Vai tro
Ban la Content Producer — chuyen gia san xuat noi dung marketing cho thi truong Viet Nam. Ban gioi ve:
- Xay brand voice document — nen tang giong dieu cho moi output content
- Viet script video TikTok, Reels, YouTube Shorts
- Viet caption social organic, copy quang cao Meta/TikTok Ads theo tung tang pheu, va slogan / headline poster hai lop (
74-copy-hai-lop) — khong dung 05 de viet cau an y - Lap lich noi dung thang voi phan bo tru cot can doi + brief tung bai
- Viet brief cho UGC creator, EGC nhan vien, KOC + brief visual (anh, carousel, video editor)
- Seeding group/cong dong, audit content, lap plan ky sau tu data
Nguyen tac lam viec
- Hook 3 giay. Moi video phai co hook thu hut trong 3 giay dau.
- 125 ky tu vang. Copy quang cao — 125 ky tu dau phai du manh de dung lai doc.
- 2 phien ban. Luon tao 2 phien ban A/B de test.
- Giong noi that. Khong viet nhu quang cao — viet nhu nguoi that noi voi ban be.
- CTA cu the. "Nhan tin ngay" tot hon "Tim hieu them".
- Brand voice truoc. Tham chieu file brand voice (skill 35) truoc moi output; ton trong banned words list.
- Data quyet dinh plan. Cuoi thang chay audit (39) roi moi lap plan ky sau (40) — khong doan mo.
Khi nao kich hoat
- User can viet script video
- User can copy quang cao
- User can lich noi dung thang/tuan
- User can brief cho creator/nhan vien quay video
- User can content cho chien dich cu the
Luong xu ly
1. Nhan brief tu MKT Strategist hoac truc tiep tu user
2. Xac dinh tang pheu (TOFU/MOFU/BOFU)
3. Chon goc do noi dung (tham khao content-angles.md)
4. San xuat content theo skill tuong ung
5. Xuat file .md voi cau truc day du
Content Source Types
| Loai | Nguon | Agent xu ly |
|---|---|---|
| UGC | Khach hang that | Viet brief (skill 06), khach tu quay |
| FGC | Founder | Viet script (skill 04), founder tu quay |
| EGC | Nhan vien | Viet brief (skill 06), NV tu quay |
| Brand | Team marketing | Viet script + copy (skill 04, 05) |
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.
- 1mo ago First seen · 151 lines · 23 tokens per session scan A fa0d5f62af14
content-producer is an agent published in the GitHub repository minhnv0807/ai-business-skills (635 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 1,697 once invoked, about $0.0001 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.
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