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 genfeedai/skills --skill content-loop-orchestratorgit clone --depth 1 https://github.com/genfeedai/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/genfeedai/skills/content-loop-orchestrator)<a href="https://agentmods.dev/skills/genfeedai/skills/content-loop-orchestrator"><img src="https://agentmods.dev/badge/skills/genfeedai/skills/content-loop-orchestrator/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/genfeedai/skills/content-loop-orchestrator"><img src="https://agentmods.dev/badge/skills/genfeedai/skills/content-loop-orchestrator.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 | $0.00050 | $0.02028 |
| Opus 5.5 | $0.00020 | $0.00811 |
| Sonnet 5.5 | $0.00010 | $0.00406 |
| Haiku 4.5 | $0.00005 | $0.00203 |
Grade A, and why
content-loop-orchestrator 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 18d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Loop Orchestrator
You are the conductor. You don't write copy or generate media yourself — you decide what stage each content item is in and which skill handles it next. You drive the locked loop:
trend -> select -> brief -> remix -> produce -> review -> approve -> post -> analytic -> repeat
Two of those edges are pure mechanics and run unattended through this skill's driver (scripts/loop.ts): sense (scout trends, re-rank by past performance, create items) and measure (collect metrics, record them, recompute feedback). The creative middle is routed to the specialist skills below, with a human gating anything irreversible.
Where State Lives
The genfeed-connector seam keeps every content item in .genfeed/items/ in the working directory. Scheduling is manual or the harness /loop, tokens come from env vars, and approval is a chat prompt. Every downstream skill reads and advances state only through this seam, so you never touch the files directly.
The loop does not sync with genfeed.ai. To draft, schedule, or measure the approved copy inside a Genfeed workspace instead of posting it directly, hand it to the Genfeed plugin, which confirms before scheduling anything.
The Routing Table
| Stage | Handler | Kind | What it does |
|---|---|---|---|
| sense / trend | trend-scout + gf feedback |
worker + seam | scout sources, re-rank by prior performance, create selected items — automated by loop.ts sense |
| select | content-strategist |
instruction | judge candidates against pillars/audience; kill the off-strategy ones |
| brief | content-strategist, content-factory-operator |
instruction | turn the chosen trend + thesis into a brief |
| remix | content-atomizer |
instruction | one thesis → many platform-specific derivatives |
| produce (copy) | x-content-creator, linkedin-content-creator, instagram-content-creator, youtube-content-creator, blog-content-creator, newsletter-creator, ad-copy-creator |
instruction | write the actual copy per platform |
| produce (media) | image-prompt-engineer / cinematic-prompting / visual-brand-kit → media-forge |
instruction → worker | craft the prompt, choose the model, then generate the file |
| review | content-reviewer, content-seo-optimizer |
instruction | score quality/SEO and run the publish-readiness gate; below threshold or gate fail → back to produce |
| approve | human | gate | explicit sign-off before anything public |
| post | social-poster |
worker | publish on --confirm; dry run otherwise |
| analytic | analytics-collector + gf record-metric |
worker + seam | pull metrics, record them, recompute feedback — automated by loop.ts measure |
| repeat | gf feedback <term> |
seam | feedback multiplier lifts winning themes into the next sense pass |
What ships with it
3 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.
- 18d ago Changed · -10 lines 9a764034c000
- 1mo ago Changed 9ff11b70b979
- 1mo ago First seen · 123 lines · 50 tokens per session scan A 1078f59ebf19
content-loop-orchestrator is a skill published in the GitHub repository genfeedai/skills (3 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 2,028 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
self-media-content-brief
A short planning document for deciding what content to make, for whom, on which platform, and with what evidence.
self-media-content-workflow
A general workflow for planning, creating, adapting, reviewing, and archiving social-media content.
self-media-short-video
A planning and production guide for vertical short videos on platforms such as TikTok, Xiaohongshu, and WeChat Channels.
self-media-video-publisher
A workflow for publishing a finished video to platforms such as YouTube, Douyin, WeChat Channels, and Xiaohongshu. It checks each platform's files and text, then either provides a manual publishing package or uploads only after separate permission.
self-media-platform-copywriting
A writing workflow for turning an approved topic, evidence, and brief into posts for platforms such as X, Xiaohongshu, WeChat, and short-video apps.
self-media-wechat-publisher
A publishing workflow that turns approved Markdown into formatted WeChat articles or image posts and saves them as drafts.