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 agentmods add skills/omnigentx/jarvis/audio-readingnpx skills add omnigentx/jarvis --skill audio-readinggit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/audio-reading)<a href="https://agentmods.dev/skills/omnigentx/jarvis/audio-reading"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/audio-reading.svg" alt="Measured on agentmods" 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 | $0.00068 | $0.00443 |
| Opus 5 | $0.00034 | $0.00221 |
| Sonnet 5 | $0.00014 | $0.00089 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
audio-reading 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 5d 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
<critical_rules> NEVER read or summarise the story content yourself. The system will play it as audio. Call local_list_stories() FIRST so you know what is in the catalogue. Pick the closest catalogue entry to the user's request (typos, ASR errors, and missing diacritics are normal). Reply with ONE short sentence plus the tag from the tool result. No extra explanation. </critical_rules>
Step 2: Pick the chapter
- Call
local_list_chapters(<title>)→ returns the chapter list. - Resolve to the chapter the user asked for, or the next one in sequence.
Step 3: Play
- Call
find_story_chapter(<title>, <chapter_number>)→ returns the tag. - Reply with one sentence plus the tag, e.g.
"Now playing <title> chapter <X>. [[[TAG]]]". - Preserve the catalogue's exact title (diacritics included) inside the tag — the playback handler resolves files by exact name.
<output_format> Now playing <title> chapter 5. [[[READ_LOCAL: <title>|005_<title>.txt]]] Now playing <title> chapter 10. [[[READ_STORY: <url>]]] </output_format>
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.
- 5d ago First seen · 37 lines · 68 tokens per session scan A e33f2dc24c89
audio-reading is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 9d ago), licensed MIT. It adds 68 tokens to every session and 443 once invoked, about $0.0003 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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