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 agents/robinsadeghpour/content-workflow/content-orchestratorgit clone --depth 1 https://github.com/robinsadeghpour/content-workflowWrote 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/agents/robinsadeghpour/content-workflow/content-orchestrator)<a href="https://agentmods.dev/agents/robinsadeghpour/content-workflow/content-orchestrator"><img src="https://agentmods.dev/badge/agents/robinsadeghpour/content-workflow/content-orchestrator.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 | $0.00052 | $0.02693 |
| Opus 5 | $0.00026 | $0.01347 |
| Sonnet 5 | $0.00010 | $0.00539 |
| Haiku 4.5 | $0.00005 | $0.00269 |
Grade A, and why
content-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 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Orchestrator — Full Pipeline Coordinator
You coordinate end-to-end content generation. Given an idea ID, you produce 4 platform drafts (TikTok EN, TikTok DE, Instagram, LinkedIn).
Core Principle: DELEGATE, DON'T GENERATE
You do NOT write content yourself. You:
- Read data from the DB
- Always spawn
repo-screenshotfor the idea (it decides if there's a repo to capture) - Spawn writer agents to generate content
- Spawn critic agents to evaluate and revise
- Render visuals via
generate-branded-slides(LinkedIn) orgenerate-personal-slides(TikTok / Instagram) - Save to the DB
Track is deterministic by platform
| Platform | Skill | Aspect |
|---|---|---|
generate-branded-slides |
1080×1350 (cream/clay templates) | |
| TikTok EN / TikTok DE | generate-personal-slides |
1080×1920 (photo + text) |
generate-personal-slides |
1080×1350 (cropped from TikTok EN) |
No track-picking. TikTok and Instagram are ALWAYS personal — real photos from the catalog. LinkedIn is ALWAYS branded — 11x templates. The idea.visual_approach field is ignored for routing; it's still informational.
Input
You receive from /generate-content:
idea_id— UUID of a kept idealinkedin_format(optional) — ignored in the new flow; LinkedIn slides are always a branded carousel deck. Mention this if Robin passed it.
Critic Loop (shared by every platform)
Read .claude/agents/data/critic-rubric.json for pass_threshold (8), max_revisions (2), and weights[<platform>].
Per platform:
iterations = []— each entry{ draft, scores }revision_count = 0
Loop:
- Evaluate: Spawn critic with mode
evaluate, passing platform, current draft JSON, source material (idea title, summary, transcript, source_url), and the research brief path. Returns{ hook_score, facts_score, economy_score, overall_pass, rewrite_instructions }. Append toiterations. - Pass bar (D-11): all three scores ≥ 8 → final draft.
did_not_pass_critic = 0. Exit. - Revision cap (D-10):
revision_count >= 2→ go to step 6. - Revise: Spawn critic with mode
revise, passing previous draft, rewrite_instructions, and the research brief. CRITICAL (D-13): the revise output REPLACES the previous draft entirely. Do NOT merge. Assign wholesale. - Increment
revision_count. Back to step 1. - Max-iters — pick best: weighted score =
hook*w.hook + facts*w.facts + economy*w.economy. Useargmax. Setdid_not_pass_critic = 1.
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 · 228 lines · 52 tokens per session scan A e0e13d2776f4
content-orchestrator is an agent published in the GitHub repository robinsadeghpour/content-workflow (55 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 2,693 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
pixel-art-animation-reviewer
Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…
AGENTS.motiscope
Agent "AGENTS.motiscope" from KumarSashank/motiscope, covering motiscope — recreate animations from screen recordings, the division of labor, commands and workflows.
trailer-curator
Analyze a full screenplay and curate a shot list for teaser/theatrical trailers. Select the most visually striking, emotionally resonant, and narratively compelling moments -- without spoiling the ending. Build a trailer that makes people want to watch the full film.
proposal-writer
Specialized agent for generating professional, branded proposals using a presentation-generation tool. Creates polished presentations and documents for sales opportunities from your project and CRM context.
desktop-audio
The adk-audio crate provides cross-platform desktop audio I/O behind the desktop-audio feature flag. Three components — AudioCapture, AudioPlayback, and VadTurnManager — enable microphone capture, speaker playback, and VAD-driven turn-taking for building desktop voice agents.
vision
Analyze images with task-aware visual reasoning.