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 arturseo-geo/claude-code-skills --skill content-pipelinegit clone --depth 1 https://github.com/arturseo-geo/claude-code-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/arturseo-geo/claude-code-skills/content-pipeline)<a href="https://agentmods.dev/skills/arturseo-geo/claude-code-skills/content-pipeline"><img src="https://agentmods.dev/badge/skills/arturseo-geo/claude-code-skills/content-pipeline/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/arturseo-geo/claude-code-skills/content-pipeline"><img src="https://agentmods.dev/badge/skills/arturseo-geo/claude-code-skills/content-pipeline.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 | $0.00157 | $0.01864 |
| Opus 5 | $0.00078 | $0.00932 |
| Sonnet 5 | $0.00031 | $0.00373 |
| Haiku 4.5 | $0.00016 | $0.00186 |
Grade A, and why
content-pipeline 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.
This is a copy
100% identical to content-pipeline — 0 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Pipeline Skill
A multi-agent content production workflow. Six specialist agents collaborate,
each writing outputs to .claude/pipeline/. The Master Agent reviews all outputs
and halts for your approval before anything is published.
Pipeline Overview
User request
↓
Orchestrator (you — or auto via /content-pipeline command)
↓
[Phase 1 — parallel]
Research Agent → .claude/pipeline/research.md
Analytics Agent → .claude/pipeline/analytics.md
↓
[Phase 2 — sequential, depends on Phase 1]
Writer Agent → .claude/pipeline/draft.md
↓
Editor Agent → .claude/pipeline/edited-draft.md
↓
SEO/GEO Agent → .claude/pipeline/seo-report.md
→ .claude/pipeline/final-draft.md
↓
[Phase 3]
Master Agent → .claude/pipeline/master-review.md
↓
⏸ HUMAN APPROVAL — review master-review.md, then say "approved" or give feedback
↓
Publish / revise
Agent Roster
Load agent files from .claude/agents/ as needed:
| Agent | File | Role |
|---|---|---|
| Research | research-agent.md |
Web search, topic analysis, competitor content |
| Analytics | analytics-agent.md |
GSC + GA4 + DataForSEO data pull |
| Writer | writer-agent.md |
Draft creation from research brief |
| Editor | editor-agent.md |
Quality, accuracy, brand voice, humanisation |
| SEO/GEO | seo-geo-agent.md |
Keyword optimisation, schema, GEO readiness |
| Master | master-agent.md |
Final QA gate, human-ready summary |
Running the Pipeline
Full pipeline (recommended)
/content-pipeline "topic or brief here"
Single agent (re-run one stage)
/run-agent writer "rewrite the draft with a more conversational tone"
/run-agent seo "re-optimise for keyword: [new keyword]"
Review current pipeline state
/pipeline-status
Pipeline Output Files
All files written to .claude/pipeline/ (gitignored by default):
.claude/pipeline/
├── brief.md ← input: topic + requirements
├── research.md ← Research Agent output
├── analytics.md ← Analytics Agent output
├── draft.md ← Writer Agent output
├── edited-draft.md ← Editor Agent output
├── seo-report.md ← SEO Agent analysis
├── final-draft.md ← SEO Agent optimised draft
├── master-review.md ← Master Agent final review
└── approved/ ← content that passed approval
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/analytics-agent.md 3.5 KB
- agents/editor-agent.md 3.5 KB
- agents/master-agent.md 5.0 KB
- agents/research-agent.md 2.9 KB
- agents/seo-geo-agent.md 4.9 KB
- agents/writer-agent.md 3.3 KB
- commands/content-pipeline.md 3.9 KB
- references/agent-handoffs.md 4.2 KB
- references/analytics-integration.md 4.6 KB
- references/quality-gates.md 4.9 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.
- 11d ago First seen · 209 lines · 157 tokens per session scan A 3d8115d57806
content-pipeline is a skill published in the GitHub repository arturseo-geo/claude-code-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 157 tokens to every session and 1,864 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-pipeline, differing in 0 lines, and is treated as a copy.
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