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 humanerd-drew/opencode-drewgent --skill seo-article-harvestergit 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/seo-article-harvester)<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/seo-article-harvester"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/seo-article-harvester.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 5.1 | $0.00029 | $0.01853 |
| Opus 5 | $0.00015 | $0.00927 |
| Sonnet 5 | $0.00006 | $0.00371 |
| Haiku 4.5 | $0.00003 | $0.00185 |
Grade A, and why
seo-article-harvester 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Article Harvester — Full Pipeline
Architecture Overview
[수집] cron_seo_harvester.sh (no_agent, 6h)
│
▼
[분석] kanban worker (LLM, daily 12:00)
│ → 기사 요약 + 주제 태깅 + 중요도 점수
│ → Google 업데이트/알고리즘 변경 발견 시 kanban task
▼
[트렌드] kanban worker (LLM, weekly Mon 14:00)
│ → 주간 SEO 트렌드 리포트
│ → P4-cortex/growth/seo/weekly/ + Discord
▼
[정리] 스크립트 (no_agent, monthly)
→ 3개월 지난 기사 _archive/ 이동
Pipeline Stages
1. 수집 (Collection)
- Cron:
SEO Article Harvester(no_agent,0 */6 * * *) - Script:
cron_seo_harvester.sh→cron_seo_harvester.py→harvester.py+label_heritage.py - Output:
seo-articles/YYYY/article-slug.md(YAML frontmatter 포함) - Sources: 28 SEO/marketing RSS feeds (see below)
- LLM 필요?: ❌ No
2. 분석 (Analysis)
- Trigger cron:
seo-analyze-trigger(LLM, daily 12:00 KST, fast model) - Worker: Kanban worker
- Input:
seo-articles/YYYY/*.md(아직 분석 안 된 새 기사) - Process:
- Read new article files (tracked via seo_analysis_state.json)
- LLM extracts: summary (1-2문장), topic tags, SEO relevance score (1-5)
- Identify critical: Google algo updates, penalty risks, major industry news
- Extract GEO/AI-search signals: AI citation readiness, brand-authority/mention trends, AI crawler analysis, platform-specific optimization (ChatGPT / Perplexity / Gemini / Google AI Overviews), schema markup for AI, and citability scoring insights
- Write analysis to
P4-cortex/growth/seo/analyzed/YYYY-MM-DD-hash.json - If critical insight found (including GEO/AI-search shifts): create kanban task for human attention
- State file:
P4-cortex/growth/seo/seo_analysis_state.json - LLM 필요?: ✅ Yes
3. 주간 트렌드 리포트 (Weekly Trend Report)
- Trigger cron:
seo-trend-trigger(LLM, weekly Mon 14:00 KST, fast model) - Worker: Kanban worker
- Input: 분석된 기사 중 최근 7일치
- Process:
- Read analyzed articles from past week
- LLM synthesizes hot topics, trends, notable changes
- Write report to
P4-cortex/growth/seo/weekly/YYYY-MM-DD-trends.md - Deliver summary to Discord channel
- LLM 필요?: ✅ Yes
What ships with it
5 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.
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 · 157 lines · 29 tokens per session scan A 7de3cee9ddc8
seo-article-harvester is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 1,853 once invoked, about $0.0001 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 2026-09-03.
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