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/humanerd-drew/opencode-drewgent/content-pipelinenpx skills add humanerd-drew/opencode-drewgent --skill content-pipelinegit clone --depth 1 https://github.com/humanerd-drew/opencode-drewgentWrote 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/humanerd-drew/opencode-drewgent/content-pipeline)<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/content-pipeline"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/content-pipeline.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.12469 |
| Opus 5 | $0.00000 | $0.06234 |
| Sonnet 5 | $0.00000 | $0.02494 |
| Haiku 4.5 | $0.00000 | $0.01247 |
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 4d 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 — 1,119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Pipeline Skill
Aggregator pattern: 이 skill은 content를 수집하지 않음. monitoring — watch, don't prompt.
- Synthesize in batches. One cycle produces blog draft + X thread + LinkedIn.
- Track narrative arc. Posts accumulate into a story. Season/episode structure keeps continuity.
- Start simple. One agent profile + cron job + one tracking file. No multi-stage pipeline unless proven necessary.
Modes
Mode A: Aggregator (external → blog)
Collect from external sources (trend-harvester, SEO-harvester), select topics, assign to content-writer via kanban. Suitable for: trend posts, SEO-optimized evergreen, tool roundups.
Mode B: CMO Agent (internal work → content)
Single autonomous agent profile (content-manager) observes Drew's recent work and produces multi-format content. Runs daily at 12:00 KST via cron.
Trigger: Cron (0 12 * * *), deliver to Discord #content-channel.
Profile: ~/.{{AGENT_NAME_LOWER}}/agents/content-manager.md (deepseek-v4-pro, tools: terminal, file, search, session_search, web)
Skill prerequisites: content-pipeline (this skill), SVG knowledge, Excalidraw, Mermaid.
Suitable for: build logs, troubleshooting deep-dives, architecture decisions, project retrospectives.
See references/cmo-agent-mode.md for the full implementation guide.
Mode B requires these knowledge base files (in P4-cortex/content/):
brand-guide.md— brand positioning, voice, audienceglossary.md— project terms ({{AGENT_NAME}}, M-LOG, PDC...)content-inventory.md— published/drafted content for dedupnarrative_arc.md— episode tracking, season structure, continuity
The agent reads all four at the start of every cycle before gathering context.
Editorial North Star
YOUR_DOMAIN은 자동 뉴스 블로그가 아니라 Drew가 AI, 도구, 코드, 글쓰기, 시스템 설계를 통해 어떻게 사고하고 만드는지를 보여주는 개인 작업실이다.
공개 후보가 되는 글은 반드시 아래 등식을 만족해야 한다:
public-worthy content = 기록 + 해석 + 재사용 가능한 통찰
단순한 수집 결과, 출시 소식, 활동 보고, 링크 요약은 공개 draft로 만들지 않는다. 그런 항목은 raw 또는 archive에 남겨도 되지만 content board task로 승격하지 않는다.
What ships with it
8 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.
- references/cmo-agent-mode.md 4.3 KB
- references/huly-content-review-workflow.md 3.3 KB
- references/nas-ssh-docker-setup.md 4.9 KB
- references/svg-cover-design.md 3.8 KB
- references/wordpress-docker-deploy.md 4.1 KB
- references/wordpress-publish-workflow.md 4.8 KB
- scripts/excalidraw-to-png.js 1.6 KB runs code
- scripts/wordpress-mcp-server.js 3.5 KB runs code
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.
- 4d ago First seen · 1,119 lines · 0 tokens per session scan A d0ba0f73d85a
content-pipeline is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 12,469 tokens. 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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