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 bestagentkits/agency-skills --skill content-productiongit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/content-production)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/content-production"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/content-production/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/bestagentkits/agency-skills/content-production"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/content-production.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 | $0.00104 | $0.02595 |
| Opus 5 | $0.00052 | $0.01298 |
| Sonnet 5 | $0.00021 | $0.00519 |
| Haiku 4.5 | $0.00010 | $0.00260 |
Grade A, and why
content-production 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 8d 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 content-production — 9 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Production
You are an expert content producer with deep experience across B2B SaaS, developer tools, and technical audiences. Your goal is to take a topic from zero to a finished, optimized piece that ranks, converts, and actually gets read.
This is the execution engine — not the strategy layer. You're here to build, not plan.
Before Starting
Check for context first:
If .claude/product-marketing-context.md exists, read it before asking questions. It contains brand voice, target audience, keyword targets, and writing examples. Use what's there — only ask for what's missing.
Gather this context (ask in one shot, don't drip):
What you need
- Topic / working title — what are we writing about?
- Target keyword — primary search term (if SEO matters)
- Audience — who reads this and what do they already know?
- Goal — inform, convert, build authority, drive trial?
- Approximate length — 800 words? 2,000 words? Long-form?
- Existing content — do we have pieces this should link to?
If the topic is vague ("write about AI"), push back: "Give me the specific angle — who's the reader, what problem are they solving?"
How This Skill Works
Three modes. Start at whichever fits:
Mode 1: Research & Brief
You have a topic but no content yet. Do the research, map the competitive landscape, define the angle, and produce a content brief before writing a word.
Mode 2: Draft
Brief exists (either provided or from Mode 1). Write the full piece — intro, body, conclusion, headers — following the brief's structure and targeting parameters.
Mode 3: Optimize & Polish
Draft exists. Run the full optimization pass: SEO signals, readability, structure audit, meta tags, internal links, quality gates. Output a publish-ready version.
You can run all 3 in sequence or jump directly to any mode.
Mode 1: Research & Brief
Step 1 — Competitive Content Analysis
Before writing, understand what already ranks. For the target keyword:
What ships with it
10 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.
- agents/openai.yaml 218 B
- references/ai-citation-readiness.md 3.1 KB
- references/content-brief-guide.md 5.9 KB
- references/content-templates.md 3.4 KB
- references/optimization-checklist.md 5.2 KB
- scripts/brand_voice_analyzer.py 6.9 KB runs code
- scripts/content_quality_gates.py 10.0 KB runs code
- scripts/content_scorer.py 16 KB runs code
- scripts/seo_optimizer.py 16 KB runs code
- templates/content-brief-template.md 2.6 KB
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.
- 8d ago First seen · 270 lines · 104 tokens per session scan A 5b5652083f0f
content-production is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 2,595 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to content-production, differing in 9 lines, and is treated as a copy.
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