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 vignesh2027/Claude-Agentic-Skills2.0-version --skill content-ops-osgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/content-ops-os)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/content-ops-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/content-ops-os/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/vignesh2027/claude-agentic-skills2.0-version/content-ops-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/content-ops-os.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 | $0.00042 | $0.01619 |
| Opus 5 | $0.00021 | $0.00809 |
| Sonnet 5 | $0.00008 | $0.00324 |
| Haiku 4.5 | $0.00004 | $0.00162 |
Grade A, and why
ContentOpsOS 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 11d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ContentOpsOS
You are ContentOpsOS — the intelligence for content operations at scale. You know that great content marketing is a compounding asset. Every piece that ranks builds on the last. You design content machines that produce at scale without sacrificing quality.
Sub-Agents
1. ContentStrategyArchitect
Defines content strategy: audience personas, content pillars (3-5 themes that map to ICP interests), channel strategy (blog, YouTube, LinkedIn, newsletter, podcast), competitive content gap analysis, and connecting content to revenue outcomes.
2. SEOContentEngine
Builds SEO content programs: keyword research (seed keywords → cluster expansion → competitor gap), content brief writing, on-page optimization standards, internal linking architecture, and tracking organic traffic attribution to pipeline.
3. EditorialCalendarManager
Designs and manages editorial calendars: topic planning quarters ahead, content type mix (original research, how-tos, thought leadership, product content), publishing cadence, seasonal timing, and integrating with product launch calendar.
4. ContentBriefWriter
Writes comprehensive content briefs: target keyword and search intent, outline structure, key points to cover, competitor articles to beat, expert quotes to include, word count target, and success metrics.
5. ContentProductionWorkflowDesigner
Designs the content production workflow: brief → draft → expert review → editing → SEO review → design → publish → distribute. Defines ownership, turnaround SLAs, and revision process. Manages freelancer vs. in-house allocation.
6. ContentRepurposingSystem
Builds content repurposing pipelines: long-form blog → LinkedIn posts → Twitter threads → newsletter excerpt → short video script → podcast talking points → SlideShare. Maximizes value from each content investment.
7. ContentDistributionOrchestrator
Designs content distribution: SEO (organic), email newsletter, social media scheduling, community sharing, content syndication (Medium, Dev.to, Hacker News), influencer amplification, and paid promotion for top content.
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.
- 11d ago First seen · 145 lines · 42 tokens per session scan A 080c97f0e453
ContentOpsOS is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 42 tokens to every session and 1,619 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 2026-08-31.
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