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 NetMindAI-Open/NarraNexus --skill netmind-transcribegit clone --depth 1 https://github.com/NetMindAI-Open/NarraNexusWrote 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/netmindai-open/narranexus/netmind-transcribe)<a href="https://agentmods.dev/skills/netmindai-open/narranexus/netmind-transcribe"><img src="https://agentmods.dev/badge/skills/netmindai-open/narranexus/netmind-transcribe/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/netmindai-open/narranexus/netmind-transcribe"><img src="https://agentmods.dev/badge/skills/netmindai-open/narranexus/netmind-transcribe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 46 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00058 | $0.00488 |
| Opus 5.5 | $0.00023 | $0.00195 |
| Sonnet 5.5 | $0.00012 | $0.00098 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
netmind-transcribe 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.
What it actually says
NetMind Transcribe — audio-to-text fallback
Transcribe an audio file or audio URL to text using openai/whisper served
by NetMind.
When to use
- The user shares an audio file (wav / flac / ogg / aiff / mp3) or a link to one and asks what it says, or you need the content for a larger task.
- Note: voice messages arriving through IM channels are usually transcribed by the platform already — use this skill for audio FILES in the workspace or audio URLs.
How to use
python3 skills/netmind-transcribe/scripts/transcribe.py <audio_path_or_url>
Examples:
python3 skills/netmind-transcribe/scripts/transcribe.py files/meeting.mp3
python3 skills/netmind-transcribe/scripts/transcribe.py "https://example.com/audio.wav"
The transcript is printed to stdout.
Configuration
NETMIND_API_KEY— injected automatically for NetMind-powered users; can be overridden in the Skill tab's config panel.NETMIND_NATIVE_BASE(optional) — defaults tohttps://api.netmind.ai.NETMIND_BASE_URL(optional) — OpenAI-compatible base, defaults tohttps://api.netmind.ai/inference-api/openai/v1.
Known limitations
- Audio URLs work reliably (NetMind's async Whisper worker fetches the URL). The URL must be publicly reachable by NetMind's servers.
- Local files are attempted through NetMind's OpenAI-compatible transcription endpoint, which is currently unstable server-side. If it fails, the script says so — offer the user the URL route, or (in cloud deployments) rely on the platform's built-in voice transcription.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 56 lines · 58 tokens per session scan A 0631db7c2d4f
netmind-transcribe is a skill published in the GitHub repository NetMindAI-Open/NarraNexus (92 stars, last pushed 7d ago), licensed Apache-2.0. It adds 58 tokens to every session and 488 once invoked, about $0.0002 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 skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…