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 XimilalaXiang/DeLive --skill delive-transcript-analyzergit clone --depth 1 https://github.com/XimilalaXiang/DeLiveWrote 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/ximilalaxiang/delive/delive-transcript-analyzer)<a href="https://agentmods.dev/skills/ximilalaxiang/delive/delive-transcript-analyzer"><img src="https://agentmods.dev/badge/skills/ximilalaxiang/delive/delive-transcript-analyzer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00098 | $0.01326 |
| Opus 5 | $0.00049 | $0.00663 |
| Sonnet 5 | $0.00020 | $0.00265 |
| Haiku 4.5 | $0.00010 | $0.00133 |
Grade A, and why
delive-transcript-analyzer 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 8d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeLive Transcript Analyzer
Analyze and extract insights from real-time transcription sessions captured by DeLive, a desktop app for live speech-to-text.
Prerequisites
- DeLive must be running locally (REST API at
http://localhost:23456) - For MCP integration, the DeLive MCP server must be configured (see Setup below)
Setup
Option A: MCP Server (recommended for Claude Desktop / Claude Code)
The DeLive MCP server provides direct tool access. Add to your MCP config:
{
"mcpServers": {
"delive": {
"command": "node",
"args": ["<PATH_TO_DELIVE>/mcp/delive-mcp-server.js"]
}
}
}
Option B: REST API (for any client)
DeLive exposes a local REST API when running:
- Base URL:
http://localhost:23456/api/v1/ - WebSocket live stream:
ws://localhost:23456/ws/live
Available Tools (via MCP)
| Tool | Purpose |
|---|---|
search_transcripts |
Find sessions by keyword in title or transcript content |
get_session |
Full session with transcript, corrected transcript, AI summary, mind map, Q&A |
get_session_transcript |
Transcript text + corrected transcript (when available) |
get_session_summary |
AI summary, action items, keywords, mind map |
get_recording_status |
Check if DeLive is currently recording |
list_topics |
List topic categories for organizing sessions |
list_tags |
List all tags used to label sessions |
Available Resources (via MCP)
| Resource URI | Description |
|---|---|
delive://sessions/recent |
Most recent 10 sessions (metadata) |
delive://status |
Current app and recording status |
Workflow Patterns
Pattern 1: Meeting Summary to Email Draft
- Search for the relevant meeting:
search_transcripts("weekly standup") - Get the full session:
get_session("<session_id>") - Use the transcript and AI summary to draft a follow-up email
Pattern 2: Lecture Notes to Study Guide
- Find the lecture:
search_transcripts("machine learning lecture") - Get the transcript:
get_session_transcript("<session_id>") - Extract key concepts, create flashcards, or generate a structured study guide
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.
- 8d ago First seen · 141 lines · 98 tokens per session scan A 66dfc937b465
delive-transcript-analyzer is a skill published in the GitHub repository XimilalaXiang/DeLive (267 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 98 tokens to every session and 1,326 once invoked, about $0.0005 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.
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