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.
git clone --depth 1 https://github.com/kanaerulabs/growth-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/commands/kanaerulabs/growth-kit/all)<a href="https://agentmods.dev/commands/kanaerulabs/growth-kit/all"><img src="https://agentmods.dev/badge/commands/kanaerulabs/growth-kit/all/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/commands/kanaerulabs/growth-kit/all"><img src="https://agentmods.dev/badge/commands/kanaerulabs/growth-kit/all.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 | $0.00020 | $0.00947 |
| Opus 5.5 | $0.00008 | $0.00379 |
| Sonnet 5.5 | $0.00004 | $0.00189 |
| Haiku 4.5 | $0.00002 | $0.00095 |
Grade A, and why
all 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 1mo 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate copy-pastable content for all social media platforms from a single input by running all publisher commands in parallel.
Usage: $ARGUMENTS
Input: Pass the same arguments you would use for individual commands - slug, file path, URL, etc.
Process
-
Parse Arguments and Language Detection
- Extract the full arguments string:
$ARGUMENTS - Detect language from arguments:
- If ends with
ja→ Japanese content - If ends with
en→ English content - If ends with
both→ Generate for both languages - Default → English if no language specified
- If ends with
- Example:
2025-10-06-my-post ja→ Japanese version
- Extract the full arguments string:
-
Run All Publisher Commands SEQUENTIALLY
CRITICAL: Execute commands ONE AT A TIME, waiting for each to complete before starting the next:
// Step 1: Run X thread generation SlashCommand("/publisher:x $ARGUMENTS") // Wait for completion, then... // Step 2: Run LinkedIn post generation SlashCommand("/publisher:linkedin $ARGUMENTS") // Wait for completion, then... // Step 3: Run Medium article generation SlashCommand("/publisher:medium $ARGUMENTS") // Wait for completion, then... // Step 4: Run Dev.to RSS generation SlashCommand("/publisher:devto")IMPORTANT: Run commands in SEPARATE messages, waiting for each command to fully complete before proceeding to the next. This ensures stability and prevents resource contention.
-
Auto-Open Browser Tabs for Immediate Action
All commands will process the input and automatically open the necessary tabs:
- X: Opens HTML preview with copy buttons for each post + X.com compose
- LinkedIn: Opens draft in LinkedIn feed + browser tab to review
- Medium: Opens HTML with one-click copy + Medium editor tab
- Dev.to: Opens Dev.to settings page + generates RSS file
-
Summary with Clear Next Actions
Once all commands complete sequentially, provide a detailed action summary:
✅ ALL PLATFORMS GENERATED SEQUENTIALLY ════════════════════════════════════════ 📱 X Thread ↳ HTML preview opened with thread ↳ X.com compose page opened in browser ↳ Click "Copy Post" buttons to copy each post ↳ Post to X using thread composer 💼 LinkedIn Post ↳ Draft created and LinkedIn opened ↳ Navigate to your drafts to review ↳ Add any final touches and click "Post" 📝 Medium Article ↳ HTML preview opened with one-click copy ↳ Medium editor opened in new tab ↳ Click to copy entire article, then paste in Medium 🔗 Dev.to RSS Feed ↳ RSS file generated: public/rss-devto.xml ↳ Settings page opened ↳ Add RSS URL to "Publishing from RSS" section ⚡ All browser tabs opened for immediate action!
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.
- 1mo ago First seen · 118 lines · 20 tokens per session scan A e38f1795e995
all is a command published in the GitHub repository kanaerulabs/growth-kit (15 stars, last pushed 8mo ago), licensed MIT. It adds 20 tokens to every session and 947 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
post
Compose a LinkedIn post bundle (text + images / carousel) saved to a local directory for manual review and publishing.
comms-generate-social
Brainstorm social media content ideas and concepts.
learn
Force claude-smart to extract learnings from this session now.
prototype
You are building a proof-of-concept for the current Grainulator sprint. Read CLAUDE.md for sprint context and claims.json for existing research claims.
init
Install the formatters this repository needs, with every command visible before it runs.
genshijin-compress
A command for safely shortening Markdown or text files into the genshijin style.