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 nota-america/forgecat-agent-profiles --skill draft-contentgit clone --depth 1 https://github.com/nota-america/forgecat-agent-profilesWrote 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/nota-america/forgecat-agent-profiles/draft-content)<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/draft-content"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/draft-content/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/nota-america/forgecat-agent-profiles/draft-content"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/draft-content.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 | $0.00062 | $0.01011 |
| Opus 5 | $0.00031 | $0.00505 |
| Sonnet 5 | $0.00012 | $0.00202 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
draft-content 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.
This is a copy
95% identical to draft-content — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft Content
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md (
.forgecat/profiles/@forgecat/anthropics_knowledge-work-plugins_marketing/CONNECTORS.md).
Generate marketing content drafts tailored to a specific content type, audience, and brand voice.
Trigger
User runs /draft-content or asks to draft, write, or create marketing content.
Inputs
Gather the following from the user. If not provided, ask before proceeding:
-
Content type — one of:
- Blog post
- Social media post (specify platform: LinkedIn, Twitter/X, Instagram, Facebook)
- Email newsletter
- Landing page copy
- Press release
- Case study
-
Topic — the subject or theme of the content
-
Target audience — who this content is for (role, industry, seniority, pain points)
-
Key messages — 2-4 main points or takeaways to communicate
-
Tone — e.g., authoritative, conversational, inspirational, technical, witty (optional if brand voice is configured)
-
Length — target word count or format constraint (e.g., "1000 words", "280 characters", "3 paragraphs")
Brand Voice
- If the user has a brand voice configured in their local settings file, apply it automatically. Inform the user that brand voice settings are being applied.
- If no brand voice is configured, ask: "Do you have brand voice guidelines you'd like me to follow? If not, I'll use a neutral professional tone."
- Apply the specified or default tone consistently throughout the draft.
Content Generation by Type
Blog Post
- Engaging headline (provide 2-3 options)
- Introduction with a hook (question, statistic, bold statement, or story)
- 3-5 organized sections with descriptive subheadings
- Supporting points, examples, or data references in each section
- Conclusion with a clear call to action
- SEO considerations: suggest a primary keyword, include it in the headline and first paragraph, use related keywords in subheadings
Social Media Post
- Platform-appropriate format and length
- Hook in the first line
- Hashtag suggestions (3-5 relevant hashtags)
- Call to action or engagement prompt
- Emoji usage appropriate to brand and platform
- If LinkedIn: professional framing, paragraph breaks for readability
- If Twitter/X: concise, punchy, within character limit
- If Instagram: visual-first language, story-driven, hashtag block
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 · 122 lines · 62 tokens per session scan A 94b5d15fdf1d
draft-content is a skill published in the GitHub repository nota-america/forgecat-agent-profiles (66 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 1,011 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to draft-content, differing in 10 lines, and is treated as a copy.
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