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 Approaching-AI/AIMA --skill aima-asrgit clone --depth 1 https://github.com/Approaching-AI/AIMAWrote 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/approaching-ai/aima/aima-asr)<a href="https://agentmods.dev/skills/approaching-ai/aima/aima-asr"><img src="https://agentmods.dev/badge/skills/approaching-ai/aima/aima-asr.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.00248 |
| Opus 5 | $0.00012 | $0.00124 |
| Sonnet 5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
aima-asr 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"openclaw":{"emoji":"🎙️","requires":{"bins":["curl"]},"always":true}} What it actually says
AIMA Speech-to-Text
Transcribe audio files using the ASR model currently managed by AIMA/OpenClaw.
Quick start
{baseDir}/scripts/transcribe.sh /path/to/audio.wav
Useful flags
{baseDir}/scripts/transcribe.sh /path/to/audio.wav --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json
Output
- Prints transcript to stdout by default
- With
--out, saves to file and prints the path
Notes
- Model: auto-detected from
~/.openclaw/openclaw.json(override withAIMA_ASR_MODEL) - Supported formats: wav, mp3, m4a, ogg, flac
- Runs on AIMA proxy at
http://127.0.0.1:6188/v1
What ships with it
1 file 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.
- 8d ago First seen · 34 lines · 23 tokens per session scan A 87e2e62147ef
aima-asr is a skill published in the GitHub repository Approaching-AI/AIMA (16 stars, last pushed 6d ago), licensed Apache-2.0. It adds 23 tokens to every session and 248 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
olares-router
Olares models via olares-cli router — Router (the AI gateway) and the Model Console inside a locally installed model application. Configure cloud vendors and their models, manage local LLM / embedding / audio / OCR model applications, edit a local model's card, name models with aliases, groups and default categories…
h3-anime-character-showcase-pv
Create MiniMax H3 anime or graphic-novel character showcase prompts from a character sheet plus an environment reference, with strict reference-role separation, centered 360-degree character rotation, comic-panel world assembly, readable title choreography, and a seamless loop. Use for character introduction PVs…
h3-layered-windsurfing-fashion-mv
Create MiniMax H3 prompts for original adult windsurfing or fashion-sports music-video arcs using separate identity, equipment, and cinematography reference roles. Use for three-part vertical campaigns, music-shaped action peaks, and text-directed climax segments; do not use for unsafe stunts, real brands, named…
h3-asymmetric-speed-duo-choreography
Create MiniMax H3 prompts for two original adult performers whose movement is governed by an explicit asymmetric action-count ratio, usually 3:1. Use for leader-follower dance, fashion movement, training, or character comedy where one subject deliberately imitates late and never catches up; do not use for synchronized…
h3-chibi-live-action-sticker
Create MiniMax H3 prompts that place one flat 2D chibi or sticker-like character inside a photoreal live-action environment with readable mixed-media interaction. Use for cute drawn mascots affecting real food, desks, streets, hands, or props; do not use for fully animated scenes.
h3-creature-motion-replacement
Create MiniMax H3 prompts for replacing a performer with an original creature while preserving a source video's path, timing, camera, prop interactions, and environment, often with a new cinematic lighting treatment. Use for creature stunt doubles, actor-to-animal replacement, or motion-transfer edits; do not use for…