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 usefulmove/enso --skill read-aloud-edge-ttsgit clone --depth 1 https://github.com/usefulmove/ensoWrote 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/usefulmove/enso/read-aloud-edge-tts)<a href="https://agentmods.dev/skills/usefulmove/enso/read-aloud-edge-tts"><img src="https://agentmods.dev/badge/skills/usefulmove/enso/read-aloud-edge-tts/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/usefulmove/enso/read-aloud-edge-tts"><img src="https://agentmods.dev/badge/skills/usefulmove/enso/read-aloud-edge-tts.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 | $0.00043 | $0.00653 |
| Opus 5 | $0.00022 | $0.00327 |
| Sonnet 5 | $0.00009 | $0.00131 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
read-aloud-edge-tts 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 10d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- The user asks you to "read this file to me" or "read this aloud".
- The user is having trouble reading a long markdown document and wants an audio version.
- The user wants to listen to the contents of a text file while doing something else.
Workflow
1. Check for edge-tts
Before attempting to read a file, ensure edge-tts is installed on the system.
Run:
which edge-tts
If it is not found, install it using pipx (recommended for isolated CLI tools):
pipx install edge-tts
2. Prepare the Text
If the file is a Markdown file, you should strip the formatting characters (like #, *, _) so the TTS engine doesn't read them out loud as "hash hash hash".
Always collapse newlines to spaces before reading. TTS engines treat \n as a pause marker, which makes poetry and formatted text sound choppy. Pipe through tr '\n' ' ' | sed 's/ */ /g' to produce natural flowing speech.
3. Read Aloud
Use a bash pipeline to read the file, strip formatting (if necessary), and pipe it to edge-tts, which then pipes the audio to ffplay (or another audio player like mpv or aplay).
For Markdown files:
cat <file_path> | sed -e 's/[#*_]//g' | tr '\n' ' ' | sed 's/ */ /g' | edge-tts --voice en-US-AriaNeural --file - | ffplay -nodisp -autoexit -loglevel quiet -i -
For plain text files:
cat <file_path> | tr '\n' ' ' | sed 's/ */ /g' | edge-tts --voice en-US-AriaNeural --file - | ffplay -nodisp -autoexit -loglevel quiet -i -
Note: en-US-AriaNeural is a high-quality default voice. Other good options include en-US-ChristopherNeural or en-GB-SoniaNeural.
4. Handle Audio Issues
If the command succeeds but the user reports hearing no sound, advise them that it might be a system audio issue (e.g., PulseAudio or PipeWire configuration) and suggest they check their volume and output device settings.
Checklist
-
edge-ttsis installed and available in the PATH. - Markdown formatting is stripped before reading (if applicable).
- Newlines are collapsed to spaces for natural speech flow.
- The file is successfully read aloud using
edge-tts.
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.
- 10d ago First seen · 60 lines · 43 tokens per session scan A 32a12ef5acd1
read-aloud-edge-tts is a skill published in the GitHub repository usefulmove/enso (2 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 653 once invoked, about $0.0002 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 2026-08-31.
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