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 b2bforce/b2bforce --skill marketing-content-linkedin-postgit clone --depth 1 https://github.com/b2bforce/b2bforceWrote 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/b2bforce/b2bforce/marketing-content-linkedin-post)<a href="https://agentmods.dev/skills/b2bforce/b2bforce/marketing-content-linkedin-post"><img src="https://agentmods.dev/badge/skills/b2bforce/b2bforce/marketing-content-linkedin-post/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/b2bforce/b2bforce/marketing-content-linkedin-post"><img src="https://agentmods.dev/badge/skills/b2bforce/b2bforce/marketing-content-linkedin-post.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 | $0.00061 | $0.00595 |
| Opus 5.5 | $0.00024 | $0.00238 |
| Sonnet 5.5 | $0.00012 | $0.00119 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
marketing-content-linkedin-post 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 2mo 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Post Generation
Draft pipeline for a content idea of type linkedin_post.
When to Use
- Idea with
content_type: linkedin_post - User wants LinkedIn-native copy (not cross-posted blog summary)
Prerequisites
- Content idea file + firm/service/ICP/persona context
- Current agent/LLM session
- Do NOT run Exa reference search (skipped for this type)
Prompt layering
- Base writer (style only)
- Quality layer
- LinkedIn format layer →
references/format-requirements.md
Optional: workspace/firm/content-guidelines/linkedin-post.md
Follow the shared draft gate and writing quality rules in docs/content-generation.md.
Use buyer_question, unique_angle, proof_source, next_action, and
research_mode from the idea; do not write from title + description only.
Output format (critical)
- Plain text — NOT Markdown headers
- One sentence per line
- 150–250 words optimal; max ~300 words / 3000 chars
- 0–2 emojis if brand-appropriate
- 2–3 hashtags at end
- Engagement question at end
- No bullet lists (hurts engagement)
- First-person voice (I, we, you)
Stage → framework (from format prompt)
| Stage | Framework |
|---|---|
| Problem | Story Hook, Poll |
| Concept | Category, This-vs-That |
| Education | Framework, How-To |
| Decision | Comparison, Data |
| Vendor | CSR, Behind-the-Scenes |
Output path
Brand scope. In a multi-brand workspace the draft inherits the idea file's brand: write to workspace/marketing/content/{brand}/drafts/… — same brand segment as the idea. See the Brand Scope Gate in AGENTS.md.
workspace/marketing/content/drafts/linkedin/{slug}.md
Frontmatter: idea, content_type, buying_stage, service, icp, persona,
generated_at. Body = plain text only. Title in frontmatter for filing.
Run scripts/validate-content-draft.sh {output}. Update idea frontmatter to
status: generated after the draft validates.
Related Skills
marketing-content-x-post — different length/platform rules
What ships with it
1 file 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.
- 2mo ago First seen · 76 lines · 61 tokens per session scan A 10d0942653fd
marketing-content-linkedin-post is a skill published in the GitHub repository b2bforce/b2bforce (2 stars, last pushed 14d ago), licensed MIT. It adds 61 tokens to every session and 595 once invoked, about $0.0002 per session on Opus 5.5. 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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