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 commands/fatihkan/badi/content-carouselgit clone --depth 1 https://github.com/fatihkan/badiWhat 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 | $0.00000 | $0.01037 |
| Opus 5 | $0.00000 | $0.00518 |
| Sonnet 5 | $0.00000 | $0.00207 |
| Haiku 4.5 | $0.00000 | $0.00104 |
Grade A, and why
content-carousel 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Carousel (multi-frame) content command. Produces educational or storytelling carousel content for Instagram, LinkedIn, and other platforms.
Required Tools
- Read (brand voice, topic, previous content) -- Write (carousel file) -- Grep (related content) -- ...
Procedure (6 Steps)
1. Carousel Details
- Platform: Instagram / LinkedIn / Twitter (thread adaptation) / Facebook / Other
- Topic: detail
- Purpose: Educational (tips, steps) / Story (experience, customer) / List (X things, X reasons, X mistakes) / Comparison (A vs B, before/after) / ...
- Frame Count: 5-10 (default 7)
- Tone: Friendly / Professional / Fun / Inspirational / Technical
- Visual Style: Clean/Minimalist (white space) / Colorful-Bold (vivid, large typography) / Photographic (photo + overlay) / Illustrative (drawings, icons) / ...
2. Flow Structures
Educational: Frame 1: COVER (attention + "Save!" CTA) | Frame 2: INTRO (problem/context) | Frames 3-N: CONTENT (1 tip per frame) | Last: SUMMARY + CTA (Follow/Save/Share)
Story: Frame 1: COVER (curiosity) | Frame 2: SETUP (situation/problem) | Frames 3-N: DEVELOPMENT | Last-1: OUTCOME (lesson) | Last: CTA ("Has it happened to you?")
List: Frame 1: COVER ("[Number] [topic]") | Frames 2-N: ITEMS (1-2 items/frame) | Last: BONUS + CTA (Save)
Comparison: Frame 1: COVER ("A vs B" / "Don't/Do") | Frames 2-N: left-right or before-after | Last: CONCLUSION + CTA
Q&A: Frame 1: COVER ("The X most-asked questions") | Frames 2-N: 1 question+answer per frame | Last: CTA ("DM me")
3. Per-Frame Content
- Copy: Heading (short, punchy, max 8 words) -- Body (2-4 sentences or 3-5 bullets) -- Emphasis (bold/color) -- ...
- Design: Background color/image -- text position (top/middle/bottom, left/right/center) -- font size hierarchy (heading>body>note) -- ...
- Readability: Heading readable in 2s -- body in 5s -- text/background contrast -- ...
4. Visual Consistency
- Consistent elements: same color palette (slight variation OK) -- same font family + hierarchy -- primary/secondary/accent color consistent -- ...
- Swipe motivation: "But the most important one..." (cliffhanger) -- arrow markers (→/↓) -- page numbers -- ...
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 · 78 lines · 0 tokens per session scan A 69440e2f59ec
content-carousel is a command published in the GitHub repository fatihkan/badi (7 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,037 tokens. 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 commands, from other repositories
audit-agents-skills
Audit quality of agents, skills, and commands in a Claude Code project.
sonarqube
Analyze SonarCloud quality issues for a specific PR.
land-and-deploy
Merge PR, wait for CI, verify deploy, run canary — the complete landing pipeline.
methodology-advisor
Analyzes your codebase and asks 3 targeted questions to recommend the right AI-assisted development methodology stack.
scaffold
Interactive coach that asks 4-5 questions to determine whether you need an agent, command, skill, hook, or rule — then generates a ready-to-use template. Usage: /scaffold (no arguments — starts the coaching session).
investigate
Systematic root-cause debugging — find the cause before writing any fix.