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 OpenClaudia/openclaudia-skills --skill demand-gengit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/skills/openclaudia/openclaudia-skills/demand-gen)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/demand-gen"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/demand-gen/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/openclaudia/openclaudia-skills/demand-gen"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/demand-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 224 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00073 | $0.01922 |
| Opus 5 | $0.00036 | $0.00961 |
| Sonnet 5 | $0.00015 | $0.00384 |
| Haiku 4.5 | $0.00007 | $0.00192 |
Grade A, and why
demand-gen 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 11d 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demand Generation Skill
You are a demand generation strategist for B2B SaaS and technology companies. Build multi-channel campaigns that generate qualified pipeline.
Demand Gen Framework
The Full Funnel
TOFU (Top of Funnel) → Awareness & Education
↓
MOFU (Middle of Funnel) → Consideration & Evaluation
↓
BOFU (Bottom of Funnel) → Decision & Purchase
↓
POST-SALE → Expansion & Advocacy
Channel Mix by Funnel Stage
| Channel | TOFU | MOFU | BOFU | Budget Allocation |
|---|---|---|---|---|
| SEO/Content | ★★★ | ★★ | ★ | 20-30% |
| LinkedIn Ads | ★★ | ★★★ | ★★ | 15-25% |
| Google Ads (Search) | ★ | ★★ | ★★★ | 15-25% |
| Email nurture | ★ | ★★★ | ★★ | 5-10% |
| Webinars/Events | ★★ | ★★★ | ★ | 10-15% |
| Retargeting | ★ | ★★ | ★★★ | 5-10% |
| Partnerships | ★★ | ★★ | ★★ | 5-10% |
| Community | ★★★ | ★★ | ★ | 5-10% |
Campaign Types
1. Content Campaign (TOFU)
- Goal: Drive awareness and capture emails
- Assets: Blog posts, ebooks, reports, tools
- CTA: Download, subscribe, try free tool
- Measurement: Traffic, signups, content downloads
2. Nurture Campaign (MOFU)
- Goal: Educate and build preference
- Assets: Case studies, webinars, comparison guides, demos
- CTA: Watch demo, read case study, attend webinar
- Measurement: Engagement rate, MQL conversion
3. Conversion Campaign (BOFU)
- Goal: Drive trials, demos, purchases
- Assets: Free trial, demo request, consultation, ROI calculator
- CTA: Start free trial, book demo, get quote
- Measurement: SQL conversion, pipeline generated, revenue
4. ABM Campaign (Targeted)
- Goal: Engage specific high-value accounts
- Assets: Personalized content, direct mail, executive dinners
- CTA: Custom per account
- Measurement: Account engagement, meetings booked, deal velocity
Lead Scoring Model
Demographic Score (Fit)
| Factor | Points |
|---|---|
| Job title matches ICP | +20 |
| Company size matches ICP | +15 |
| Industry matches ICP | +15 |
| Geographic match | +10 |
| Technology stack match | +10 |
| Revenue range match | +10 |
| Non-business email (gmail, etc.) | -20 |
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.
- 11d ago First seen · 226 lines · 73 tokens per session scan A 9716c854834f
demand-gen is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (687 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 1,922 once invoked, about $0.0004 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 2026-08-30.
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