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-managementnpx skills add humanerd-drew/opencode-drewgent --skill content-managementgit 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-management)<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/content-management"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/content-management.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 | $0.00127 | $0.03742 |
| Opus 5 | $0.00063 | $0.01871 |
| Sonnet 5 | $0.00025 | $0.00748 |
| Haiku 4.5 | $0.00013 | $0.00374 |
Grade A, and why
content-management 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Management — CMO Agent
Autonomous content manager that observes what the user builds and turns it into publishable content with rich visuals. Uses a single agent profile + cron trigger, NOT a multi-stage pipeline.
Architecture
Agent profile: content-manager (deepseek-v4-pro)
Cron: daily at 12:00 KST
Knowledge base: brand-guide + glossary + narrative_arc + content-inventory
All files under: P4-cortex/content/
Per-run output:
memories/insights/
├── YYYY-MM-DD-slug.md ← Blog post (with Mermaid diagrams inline)
├── YYYY-MM-DD-slug-cover.svg ← SVG cover illustration (1200x630, dark theme)
├── YYYY-MM-DD-slug.excalidraw.json ← Excalidraw architecture diagram
├── YYYY-MM-DD-slug.png ← Excalidraw exported to PNG
├── YYYY-MM-DD-slug-thread.txt ← X thread (10-15 tweets)
└── YYYY-MM-DD-slug.excalidraw ← Excalidraw binary (from CLI)
P4-cortex/content/
├── narrative_arc.md ← Updated with new episode
└── content-inventory.md ← Updated with new entry
Data Sources
In addition to direct work activity, content-manager monitors two automated collection pipelines:
1. Trend Harvester
- Location:
@memory/growth/trend-harvester/{collected,applied,evaluated}/ - Content: GitHub trending repos scored via 5-axis philosophy filter (6h cycle)
- Use: Pick applied/evaluated items with high scores → write "AI Tool of the Week" posts or deep-dives into tools that got integrated into {{AGENT_NAME}}
2. SEO Article Harvester
- Location:
P2-hippocampus/knowledge/seo-articles/YYYY/ - Content: 1,642+ SEO/marketing articles from 28 RSS feeds (6h cycle)
- Use: Surface notable Google updates, agentic web trends, or shifts in AI/discovery landscape → write analysis/opinion posts linking to YOUR_DOMAIN's own ARD integration
Agent Profile
Defined at ~/.{{AGENT_NAME_LOWER}}/agents/content-manager.md. Full instructions include:
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 · 294 lines · 127 tokens per session scan A e68a6b7120dc
content-management is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It adds 127 tokens to every session and 3,742 once invoked, about $0.0006 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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