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 ahkedia/lyra-ai --skill twitter-synthesisgit clone --depth 1 https://github.com/ahkedia/lyra-aiWrote 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/ahkedia/lyra-ai/twitter-synthesis)<a href="https://agentmods.dev/skills/ahkedia/lyra-ai/twitter-synthesis"><img src="https://agentmods.dev/badge/skills/ahkedia/lyra-ai/twitter-synthesis/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/ahkedia/lyra-ai/twitter-synthesis"><img src="https://agentmods.dev/badge/skills/ahkedia/lyra-ai/twitter-synthesis.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 | $0.00000 | $0.02640 |
| Opus 5 | $0.00000 | $0.01320 |
| Sonnet 5 | $0.00000 | $0.00528 |
| Haiku 4.5 | $0.00000 | $0.00264 |
Grade A, and why
twitter-synthesis 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 12d 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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twitter Bookmarks Synthesis
Analyze bookmarked tweets and generate 3-style content bytes + Claude setup improvement suggestions.
FrontMatter
name: Twitter Bookmarks Synthesis
description: Classify each bookmark into workflow routes (Lyra, work/personal Claude setup, work productivity, content, etc.), then synthesize outputs per route. Also produce content-byte styles where applicable and Claude-setup suggestions.
category: content-generation
tags:
- twitter
- content
- synthesis
- recruiter
---
Operations
Input
{
"bookmarks": [
{
"id": "1234567890",
"text": "The tweet content...",
"author": { "username": "user", "name": "User Name" },
"created_at": "2026-03-20T10:00:00Z",
"public_metrics": {
"like_count": 42,
"retweet_count": 5
}
}
],
"user_context": {
"work_focus": ["AI", "fintech", "recruiting"],
"recent_projects": ["Lyra AI", "OpenClaw"],
"tools_used": ["Claude", "Notion", "Telegram"]
}
}
Processing
For each bookmark, perform these steps in order.
Step 0: Workflow routing (before themes and bytes)
X does not store why the user bookmarked a post—infer intent from tweet text, author, and (if provided) light user context from SOUL/MEMORY. Output structured classification for every bookmark:
primary_workflow (exactly one Notion select value):
| Value | Meaning |
|---|---|
lyra_capability |
Improves Lyra / gateway / OpenClaw / skills / MCP / Telegram automations |
work_claude_setup |
Improves employer Claude Code / Cursor / repo rules / team tooling |
work_productivity |
Work outcomes: process, scaling, efficiency, leadership—not primarily editor config |
personal_claude_setup |
Personal / side-project Claude or Cursor setup |
content_create |
Something worth turning into your post (thread, LinkedIn, etc.) |
research_read_later |
Save for deep read; no immediate artifact |
tool_eval |
Evaluate buy/build/adopt a tool or vendor |
market_competitor |
Market or competitor intel |
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.
- 12d ago First seen · 279 lines · 0 tokens per session scan A dac29c4e2354
twitter-synthesis is a skill published in the GitHub repository ahkedia/lyra-ai (5 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,640 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.
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