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 gongyijie85/dsh-ecc --skill marketing-campaigngit clone --depth 1 https://github.com/gongyijie85/dsh-eccWrote 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/gongyijie85/dsh-ecc/marketing-campaign)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/marketing-campaign"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/marketing-campaign/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/gongyijie85/dsh-ecc/marketing-campaign"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/marketing-campaign.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 | $0.00081 | $0.01155 |
| Opus 5 | $0.00041 | $0.00577 |
| Sonnet 5 | $0.00016 | $0.00231 |
| Haiku 4.5 | $0.00008 | $0.00115 |
Grade A, and why
marketing-campaign 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 8d 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.
This is a copy
95% identical to marketing-campaign — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Campaign
Plan and execute launch campaigns that convert — not just campaigns that ship.
When to Activate
- planning a product or feature launch
- building a full content suite from a single product brief
- defining positioning and campaign angle before writing any copy
- orchestrating multiple content types across channels
- reviewing copy for conversion quality and brand consistency
Non-Negotiables
- Define positioning before writing any copy. All copy flows from the angle.
- Research the audience before assuming you know their language or fears.
- Each deliverable must serve one clear purpose in the campaign arc.
- Specificity beats adjectives in every format and on every channel.
- The same voice must run across every channel and every piece.
- No copy ships without passing the quality gate.
Campaign Workflow
Phase 1: Research
Use market-research to:
- profile the target audience (jobs-to-be-done, fears, language, alternatives they use)
- map 3+ direct or adjacent competitors (positioning, gaps, messaging weaknesses)
- identify 1–3 audience insights the campaign angle will exploit
Deliverable: a short research brief (audience profile + competitive summary + key insights).
Phase 2: Positioning
Produce:
- core benefit statement (one sentence, no feature list, no jargon)
- positioning formula: "[Product] helps [audience] [achieve outcome] by [mechanism]"
- campaign angle: the specific tension, insight, or moment the whole campaign lives in
- tone profile: lock before writing (delegate to
brand-voicefor durable, session-reusable voice capture)
Do not write any copy until positioning and angle are approved.
Phase 3: Content Production
Produce in this order — each layer informs the next:
- Landing page copy (all sections: hero, problem, solution, features, how it works, proof, CTA)
- Email sequence (each email has one purpose; follow the arc: problem → education → agitation → solution → proof → urgency → final CTA)
- Social posts (platform-native via
content-engine; LinkedIn and X are different formats, not the same copy resized) - Short-form video scripts (timestamp-blocked; written for screen and ear, not the page)
- Ad copy variants (3–4 variants testing different angles or audience segments)
- Content calendar (day-by-day schedule with channel, type, timing, and dependencies)
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.
- 8d ago First seen · 115 lines · 81 tokens per session scan A f4d2501b1abb
marketing-campaign is a skill published in the GitHub repository gongyijie85/dsh-ecc (7 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,155 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to marketing-campaign, differing in 2 lines, and is treated as a copy.
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