A command-line tool that turns written text into spoken audio using ElevenLabs, an online text-to-speech service, and plays it locally.

Use it to generate spoken messages, choose voices, adjust pronunciation, normalize text, and add pauses or expressive delivery.

It lets you listen to generated speech from the terminal without opening a separate application.

sag — Skill for Claude Code and Codex by deepgram: A command-line tool that turns written text into spoken…

Install

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.

agentmods

npx agentmods add skills/deepgram/dglabs-deepclaw/sag

Any agent

npx skills add deepgram/dglabs-deepclaw --skill sag

Clone the repo

git clone --depth 1 https://github.com/deepgram/dglabs-deepclaw

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/sag.svg)](https://agentmods.dev/skills/deepgram/dglabs-deepclaw/sag)

Your own site

<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/sag"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/sag.svg" alt="Measured on agentmods" height="20"></a>

Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 707 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 98% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.00016	$0.00707
Opus 5	$0.00008	$0.00353
Sonnet 5	$0.00003	$0.00141
Haiku 4.5	$0.00002	$0.00071

Measured 4d ago against content hash d86b98ff6586, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sag 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 4d 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.

Origin

This is a copy

98% identical to sag — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/sag/SKILL.md · 88 lines

What it actually says

sag

Use sag for ElevenLabs TTS with local playback.

API key (required)

ELEVENLABS_API_KEY (preferred)
SAG_API_KEY also supported by the CLI

Quick start

sag "Hello there"
sag speak -v "Roger" "Hello"
sag voices
sag prompting (model-specific tips)

Model notes

Default: eleven_v3 (expressive)
Stable: eleven_multilingual_v2
Fast: eleven_flash_v2_5

Pronunciation + delivery rules

First fix: respell (e.g. "key-note"), add hyphens, adjust casing.
Numbers/units/URLs: --normalize auto (or off if it harms names).
Language bias: --lang en|de|fr|... to guide normalization.
v3: SSML <break> not supported; use [pause], [short pause], [long pause].
v2/v2.5: SSML <break time="1.5s" /> supported; <phoneme> not exposed in sag.

v3 audio tags (put at the entrance of a line)

[whispers], [shouts], [sings]
[laughs], [starts laughing], [sighs], [exhales]
[sarcastic], [curious], [excited], [crying], [mischievously]
Example: sag "[whispers] keep this quiet. [short pause] ok?"

Voice defaults

ELEVENLABS_VOICE_ID or SAG_VOICE_ID

Confirm voice + speaker before long output.

Chat voice responses

When Peter asks for a "voice" reply (e.g., "crazy scientist voice", "explain in voice"), generate audio and send it:

# Generate audio file
sag -v Clawd -o /tmp/voice-reply.mp3 "Your message here"

# Then include in reply:
# MEDIA:/tmp/voice-reply.mp3

Voice character tips:

Crazy scientist: Use [excited] tags, dramatic pauses [short pause], vary intensity
Calm: Use [whispers] or slower pacing
Dramatic: Use [sings] or [shouts] sparingly

Default voice for Clawd: lj2rcrvANS3gaWWnczSX (or just -v Clawd)

Changes

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.

4d ago First seen · 88 lines · 16 tokens per session scan A d86b98ff6586

Subscribe to this mod's changes

sag is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 707 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to sag, differing in 4 lines, and is treated as a copy.

Design and UX Frontend

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OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.

nexu-io/open-design · 53 tokens

html-ppt-taste-brutalist

16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).

nexu-io/open-design · 78 tokens

hallmark

Anti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots. Use when the user asks to build a new app or landing page, wants to redesign something, invokes Hallmark by name, or uses audit/redesign/study.

Nutlope/hallmark · 61 tokens

sag