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 liqiongyu/lenny_skills_plus --skill content-marketinggit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/content-marketing)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/content-marketing"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/content-marketing/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/liqiongyu/lenny_skills_plus/content-marketing"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/content-marketing.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 | $0.02407 |
| Opus 5 | $0.00012 | $0.01203 |
| Sonnet 5 | $0.00005 | $0.00481 |
| Haiku 4.5 | $0.00002 | $0.00241 |
Grade A, and why
content-marketing 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Marketing
Scope
Covers
- Content market fit (treat content like a product; audience anxieties + needs)
- SEO-led content (validate search demand before writing)
- Founder/executive-led thought leadership with a human voice
- Blog-as-press-release announcements (shareable, SEO-friendly)
- AI-assisted content workflows with human-in-the-loop quality controls
- Backlog, editorial calendar, content briefs, distribution, and measurement
When to use
- “Create a content strategy / content marketing plan.”
- “Build an SEO plan + editorial calendar.”
- “We need founder-led thought leadership; pick a channel + voice.”
- “Turn an announcement into a blog post instead of a press release.”
- “Create content briefs and a repeatable content production system.”
When NOT to use
- You still need to define positioning/ICP (use
positioning-messagingorproblem-definition). - You need a technical SEO audit (crawl/indexing, performance, schema, internal linking) more than a content program.
- You need a paid acquisition strategy (ads, bidding, creative testing) rather than owned content.
- You cannot publish without a review process and cannot provide one (this skill requires a compliant workflow).
- You need a one-time launch campaign with a day-of runbook and press pitch (use
launch-marketing). - You want a brand narrative, origin story, or founder storytelling arc (use
brand-storytelling). - You need a community platform, ambassador program, or governance plan (use
community-building).
Inputs
Minimum required
- Product: what it is + who it’s for (ICP/audience)
- Goals + timebox (e.g., pipeline, awareness, signups, recruiting) and 1 primary metric
- Primary offer(s) and CTA(s) (demo, trial, newsletter, download)
- Constraints: team capacity, SME availability, brand/compliance guardrails, regions/languages
- Spokesperson options (founder/executive/PM/other) and preferred channels (blog, LinkedIn, YouTube, podcast, newsletter)
Missing-info strategy
- Ask up to 5 questions from references/INTAKE.md, then proceed with explicit assumptions.
- If SEO demand data is unavailable, produce keyword/topic hypotheses with confidence labels and a demand-validation to-do list (no credentials required).
- Never request secrets or credentials; accept redacted exports/screenshots if offered.
What ships with it
13 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.
- eval/eval_config.json 983 B
- eval/SHOWCASE.md 5.0 KB
- eval/with_skill.md 45 KB
- eval/without_skill.md 30 KB
- README.md 1.8 KB
- references/CHECKLISTS.md 1.7 KB
- references/EXAMPLES.md 1.6 KB
- references/INTAKE.md 2.2 KB
- references/RUBRIC.md 3.4 KB
- references/SOURCE_SUMMARY.md 1.8 KB
- references/TEMPLATES.md 3.6 KB
- references/WORKFLOW.md 2.9 KB
- skillpack.json 366 B
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 · 150 lines · 23 tokens per session scan A 9cdf794df37f
content-marketing is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 2,407 once invoked, about $0.0001 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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