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 heyAyushh/stacc --skill audio-math-hapticsgit clone --depth 1 https://github.com/heyAyushh/staccWrote 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/heyayushh/stacc/audio-math-haptics)<a href="https://agentmods.dev/skills/heyayushh/stacc/audio-math-haptics"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/audio-math-haptics/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/heyayushh/stacc/audio-math-haptics"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/audio-math-haptics.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 | $0.00110 | $0.00987 |
| Opus 5 | $0.00055 | $0.00494 |
| Sonnet 5 | $0.00022 | $0.00197 |
| Haiku 4.5 | $0.00011 | $0.00099 |
Grade A, and why
audio-math-haptics 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 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.
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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Math Haptics
Overview
Use this skill to make feedback systems feel causal: one semantic event should shape the haptic profile, optional audio profile, and UI kinetic behavior from the same clock and confidence model.
Do not start by sprinkling isolated haptic calls through the app. First identify the semantic event, its participants, and its uncertainty/settlement path.
Workflow
-
Inventory the events.
- Include local UI controls, navigation transitions, async requests, backend acknowledgements, wallet/signature states, Solana transaction phases, realtime invalidations, and settlement/failure states.
- For each event, record certainty, uncertainty, salience/event weight, semantic discontinuity, pattern depth, and settlement phase.
-
Choose the primitive.
- Use detent/picker feedback for indexed motion and step crossings.
- Use toggle feedback for binary state flips.
- Use slider feedback for continuous motion with semantic thresholds.
- Use page/route transition feedback for theatrical but decisive transitions.
- Use async/transaction feedback for pending, accepted, confirmed, rejected, failed, and settled states.
-
Derive the haptic profile.
- Map semantic features to intensity, sharpness, duration, transient count, and spacing.
- Increase intensity with salience, snap energy, confirmation, and edge crossing.
- Increase sharpness with transient rise, detent alignment, correction force, and semantic discontinuity.
- Compress duration as certainty rises; increase duration for deeper narrative or unresolved settlement.
-
Couple optional audio from the same event.
- Higher sharpness raises pitch and shortens attack.
- Higher salience raises intensity and amplitude together.
- More transients mean stronger discontinuity.
- Keep audio optional and subordinate to platform settings, mute state, and accessibility.
-
Implement through a central adapter.
- Create one semantic feedback module per app, then call it from feature surfaces.
- Keep platform API calls behind the adapter so iOS, Android, web, simulator, and accessibility fallbacks remain consistent.
- Rate-limit continuous gestures; threshold crossings should feel meaningful, not noisy.
- Do not let the backend directly "play haptics"; backend, Solana, and realtime systems emit semantic state changes that the client maps to feedback.
What ships with it
4 files 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 · 76 lines · 110 tokens per session scan A cbecc02514b2
audio-math-haptics is a skill published in the GitHub repository heyAyushh/stacc (3 stars, last pushed 2mo ago), licensed MIT. It adds 110 tokens to every session and 987 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
orca-emulator-android
Android device and emulator control from inside Orca over adb, with the live device view in Orca's emulator pane. Use when driving an adb-connected emulator or phone on Windows, Linux, or macOS: booting AVDs, taps, swipes, typing, hardware buttons, rotation, app install and launch, runtime permissions, the…
android-tombstone-symbolication
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app…
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
winapp-maui
Package and sign .NET MAUI Windows apps with winapp, resolving the resizetizer manifest dependency. Use when packaging or signing a .NET MAUI Windows app, building a MAUI MSIX or signed unpackaged build in CI, or fixing 'manifest contains unresolved placeholders ($placeholder$)' errors from winapp package.
apple-search-ads
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT"…
android-pentest
A guide for authorized security testing of Android apps, covering APK inspection, runtime testing, traffic capture, code review, and function hooking. An APK is the installable package used by an Android app.