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 agentmods add skills/maxtechera/ship/blognpx skills add maxtechera/ship --skill bloggit clone --depth 1 https://github.com/maxtechera/shipWhat 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 | $0.00021 | $0.00480 |
| Opus 5 | $0.00010 | $0.00240 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
content-blog 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 2d 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
Content Blog
Create blog content that drives discovery, builds trust, and converts.
Types
- SEO pain-point articles (problem → solution → product)
- Competitor alternative/comparison articles
- Launch narrative posts (the behind-the-scenes story)
- Case-study and lessons-learned posts
Inputs Required
- ICP pain clusters and keyword intent
- VoC quote bank
- Internal links and CTA destination
- Target query and funnel stage
Required Outputs
- Full article draft (H2/H3 structure, ≥1500 words)
- Meta title (≤60 chars) + meta description (≤155 chars)
- FAQ block with schema markup notes
- CTA placement map (inline + end-of-post)
- Distribution adapters: thread, carousel caption, newsletter block
GTM Rules
- Use real language from VoC, not abstract claims
- Tie each article to one funnel step (awareness / consideration / conversion)
- Include one measurable CTA with a clear link target
- Document target query and expected search intent (informational / commercial / transactional)
- ≥2 internal links per article
- ≥5 long-tail keywords woven naturally (not stuffed)
Article Structure
H1: [Pain-led headline using VoC language]
Intro (150-200 words): Hook with pain, promise of solution
H2: [Problem frame]
- Real-world scenario
- Evidence/statistic with source
H2: [Solution / approach]
- Step-by-step or framework
- Social proof / quote
H2: [How the product fits]
- Specific use case
- Before/after or metric
H2: FAQ
- 3-5 questions from search intent
CTA: [Single conversion action]
Done Criteria
- Article ≥1500 words
- Meta title and description present
- No AI cadence phrases
- Keywords woven naturally
- Internal links (≥2)
- CTA present with link target
- Distribution adapters created
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.
- 2d ago First seen · 78 lines · 21 tokens per session scan A 388c622b6dcd
content-blog is a skill published in the GitHub repository maxtechera/ship (2 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 480 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 2026-08-31.
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