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 OneWave-AI/claude-skills --skill social-selling-content-generatorgit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/social-selling-content-generator)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/social-selling-content-generator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/social-selling-content-generator/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/onewave-ai/claude-skills/social-selling-content-generator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/social-selling-content-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00431 |
| Opus 5 | $0.00023 | $0.00216 |
| Sonnet 5 | $0.00009 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
social-selling-content-generator 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 9d 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.
What it actually says
Social Selling Content Generator
Generate a 30-day LinkedIn content calendar and engagement playbook that positions the user as an authority and attracts inbound B2B leads.
Contents
- references/output-template.md - Calendar structure and coverage requirements
- references/examples.md - Worked post examples for each post type
- references/comment-strategy.md - Turning comments into conversations
- references/persona-templates.md - Topic banks by buyer persona
- references/engagement-tactics.md - Timing, formatting, and quick-start plan
Workflow
- Capture inputs: target audience (job titles/roles), what the user sells, content goal (attract/educate/engage), and posting frequency.
- Define the personal brand position as one sentence and select 4-5 content pillars: Industry Insights, Problem/Solution, Personal Stories, How-To/Educational, Social Proof.
- Plan post-type variety across the calendar: question, story, list, contrarian, data, and case-study posts.
- Seed topics from the buyer persona using references/persona-templates.md.
- Generate all 30 posts following references/output-template.md. For each post write a hook, full body in the user's voice, a "Why This Works" rationale, and a best-time-to-post. Match the style shown in references/examples.md without copying it.
- Append the comment strategy from references/comment-strategy.md so the user can convert engagement into leads.
- Append engagement tactics and the 4-week quick-start plan from references/engagement-tactics.md.
Rules
- Write in the user's authentic voice; never pitch directly in posts.
- Use specific numbers and concrete examples; no placeholders in delivered posts.
- Recommend moving qualified conversations off-platform (DM to call to meeting).
- Set expectations: social selling builds momentum over 3-6 months.
What ships with it
5 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.
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.
- 9d ago First seen · 32 lines · 45 tokens per session scan A 17fe6444fb37
social-selling-content-generator is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 431 once invoked, about $0.0002 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 2026-09-03.
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