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 HoangAViet/AI-Marketing-Kit --skill snapgen-marketing-trackergit clone --depth 1 https://github.com/HoangAViet/AI-Marketing-KitWrote 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/hoangaviet/ai-marketing-kit/snapgen-marketing-tracker)<a href="https://agentmods.dev/skills/hoangaviet/ai-marketing-kit/snapgen-marketing-tracker"><img src="https://agentmods.dev/badge/skills/hoangaviet/ai-marketing-kit/snapgen-marketing-tracker/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/hoangaviet/ai-marketing-kit/snapgen-marketing-tracker"><img src="https://agentmods.dev/badge/skills/hoangaviet/ai-marketing-kit/snapgen-marketing-tracker.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 | $0.00214 | $0.03377 |
| Opus 5 | $0.00107 | $0.01688 |
| Sonnet 5 | $0.00043 | $0.00675 |
| Haiku 4.5 | $0.00021 | $0.00338 |
Grade A, and why
snapgen-marketing-tracker 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 12d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Tracker Builder
What this skill does
Builds a complete 90-day marketing tracker as an Excel file (.xlsx) with:
- 180 main weekday tweets — 12 weeks × 5 days (Mon-Fri) × 3 tweets/day, distributed across 9 content pillars
- 50 weekend tweets — 25 weekend days × 2 slots/day, auto-filled from 45 evergreen bonus pool (Community Question / Tips & Craft / Indirect Insight)
- 12 sheets — README, QA Check, Daily Tracker, Metrics Dashboard, Tweet Templates, Outreach CRM, Asset Library, Weekly Review, Content Mix Rules, Media Queue, Bonus Content Pool, Weekly Calendar
- Automated QA Check — 42 live formulas validating consistency (e.g., Feature Showcase tweets must have Video/GIF, Competitor tweets must never post from brand account, etc.)
- Media Production Queue — 30 P0/P1 media assets cross-referenced with the Daily Tracker
- Embedded README — usage instructions inside the workbook
The tweets are fully written, ready-to-publish text customized to the user's product — not placeholders. This is the key value: the skill pre-generates content so the user only has to review, edit, and post.
When to use
Trigger this skill when the user asks any of:
- "Tạo kế hoạch marketing 90 ngày cho [product]"
- "Build me a content calendar for my SaaS launch"
- "Generate 90 days of tweets for build-in-public"
- "Apply the Screenify template to my product"
- "Create a launch tracker like before"
- Any request mentioning "90-day plan", "content tracker", "Twitter plan", "marketing calendar" for a specific product
How to use this skill — workflow
This is a multi-step process. Do NOT skip straight to running scripts. Quality of output depends entirely on how well you understand the user's product first.
Step 1: Interview the user
Read references/interview_questions.md and ask the user the essential questions (marked REQUIRED). For optional ones, use judgment — ask if the answer isn't obvious from context. Use the AskUserQuestion tool in batches (group related questions into one tool call with multiple questions).
What ships with it
14 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.
- assets/example-screenify-tracker.xlsx 91 KB
- references/interview_questions.md 2.6 KB
- references/pillars.md 4.1 KB
- references/structure.md 6.3 KB
- references/writing_guide.md 5.1 KB
- scripts/01_scaffold.py 35 KB runs code
- scripts/02_fill_weeks.py 38 KB runs code
- scripts/03_accounts_narrative.py 9.9 KB runs code
- scripts/04_media.py 16 KB runs code
- scripts/05_qa_check.py 21 KB runs code
- scripts/06_bonus_pool.py 30 KB runs code
- scripts/07_readme_weekends.py 15 KB runs code
- scripts/08_reply_opportunities.py 46 KB runs code
- scripts/recalc.py 5.6 KB runs code
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.
- 12d ago First seen · 197 lines · 214 tokens per session scan A 88b458f790c9
snapgen-marketing-tracker is a skill published in the GitHub repository HoangAViet/AI-Marketing-Kit (3 stars, last pushed 5mo ago), licensed MIT. It adds 214 tokens to every session and 3,377 once invoked, about $0.0011 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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