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 legendtkl/agentic-skill-router --skill skill-067git clone --depth 1 https://github.com/legendtkl/agentic-skill-routerWrote 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/legendtkl/agentic-skill-router/skill-067)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-067"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-067/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/legendtkl/agentic-skill-router/skill-067"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-067.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 | $0.00030 | $0.00299 |
| Opus 5 | $0.00015 | $0.00150 |
| Sonnet 5 | $0.00006 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
skill-067 scanned grade A with 1 finding 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 6d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
os.system(f'start {audio_file}') # Adjust command for OS What it actually says
PPTX Speech Synthesis
Overview
Speech synthesis can be an effective tool for enhancing presentations by converting slide text into spoken audio. This skill details how to generate audio narratives from text in PowerPoint slides.
Text-to-Speech Conversion
You can utilize libraries such as gTTS (Google Text-to-Speech) to convert slide text into audio files:
from pptx import Presentation
from gtts import gTTS
import os
# Load the presentation
prs = Presentation('path-to-file.pptx')
# Extract text and convert to speech
for slide in prs.slides:
text = ''
for shape in slide.shapes:
if hasattr(shape, 'text'):
text += shape.text + '\n'
# Create audio file
tts = gTTS(text)
audio_file = 'slide_audio.mp3'
tts.save(audio_file)
# Optionally play audio or attach it to the slide
os.system(f'start {audio_file}') # Adjust command for OS
Conclusion
Integrating speech synthesis into your PowerPoint presentations allows for a dynamic and engaging format for delivering content, enabling accessibility and enhancing audience comprehension.
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.
- 6d ago First seen · 40 lines · 30 tokens per session scan A 2db1f53c6917
skill-067 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 299 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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