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 S3YED/appie-kit --skill content-production-workflowgit clone --depth 1 https://github.com/S3YED/appie-kitWrote 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/s3yed/appie-kit/content-production-workflow)<a href="https://agentmods.dev/skills/s3yed/appie-kit/content-production-workflow"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/content-production-workflow.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 | $0.00033 | $0.03610 |
| Opus 5 | $0.00016 | $0.01805 |
| Sonnet 5 | $0.00007 | $0.00722 |
| Haiku 4.5 | $0.00003 | $0.00361 |
Grade A, and why
content-production-workflow 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 3d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Production Workflow
Use this skill for content work that needs both a clear approval gate and a reliable publishing path. It covers short-form creative review packs, blog/article drafting, and platform-specific publishing checks.
When to use
- The user wants a review pack before final production or publication.
- You are drafting, refining, or publishing content for a brand or publication.
- The work needs a pause point for human curation before expensive downstream steps.
- You need to keep approved anchors stable while iterating on nearby details.
Core workflow
-
Clarify the content target.
- Identify the format, audience, channel, and success criterion.
- Separate locked canon from flexible draft material.
-
Build a reviewable draft first.
- For creative assets: script, beat list, keyframes, CTA notes.
- For articles: outline, thesis, draft body, sources, and distribution variants.
2.5 Analyze the actual media before writing any copy (mandatory for video).
- Download the media file. Run ffprobe for duration/codec/specs.
- Transcribe audio with Whisper:
whisper audio.wav --model base --language nl --output_dir /tmp/analysis - Extract key frames every 5 seconds:
ffmpeg -i video.mp4 -vf "fps=1/5,scale=480:-1" -q:v 2 /tmp/frames/frame_%03d.jpg - Read the full transcript. The transcript is the single source of truth.
- Write caption based ONLY on what the video actually shows and says.
- Do not invent angles, themes, or hooks that are not in the video.
-
Make the approval boundary explicit.
- Say what is locked.
- Say what the user can change.
- Say what will not proceed until approval arrives.
-
Pause at the gate.
- Do not continue into animation, bulk generation, final packaging, or publishing until the approved state is clear.
-
Resume from the approved state only.
- If the user changes one part, adjust the smallest adjacent pieces and re-present the updated pack or draft.
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.
- 3d ago First seen · 148 lines · 33 tokens per session scan A 6db583580147
content-production-workflow is a skill published in the GitHub repository S3YED/appie-kit (7 stars, last pushed 11d ago), licensed MIT. It adds 33 tokens to every session and 3,610 once invoked, about $0.0002 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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