Borrowing it
Nothing to install: this file belongs to niclasvestlund-YT/vibepulse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/niclasvestlund-YT/vibepulse/main/.claude/skills/iterating-esp32-amoled-ui/SKILL.mdgit clone --depth 1 https://github.com/niclasvestlund-YT/vibepulseWrote 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/niclasvestlund-yt/vibepulse/iterating-esp32-amoled-ui)<a href="https://agentmods.dev/skills/niclasvestlund-yt/vibepulse/iterating-esp32-amoled-ui"><img src="https://agentmods.dev/badge/skills/niclasvestlund-yt/vibepulse/iterating-esp32-amoled-ui/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/niclasvestlund-yt/vibepulse/iterating-esp32-amoled-ui"><img src="https://agentmods.dev/badge/skills/niclasvestlund-yt/vibepulse/iterating-esp32-amoled-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 57 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00033 | $0.00787 |
| Opus 5 | $0.00016 | $0.00394 |
| Sonnet 5 | $0.00007 | $0.00157 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
iterating-esp32-amoled-ui 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 12d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iterating Torget AMOLED UI
Explore at panel size; move an approved batch into shared LVGL. Preview, install, acceptance are separate gates.
Required sequence
- Read
spec/hardware.md,spec/hardware-capabilities.yaml,spec/hardware-sources.yaml,spec/device-units.yaml,spec/hardware-opportunities.md,spec/ui-spec.md,design/vibepulse/studio-design.json, and the latest physical review underdocs/superpowers/reviews/. If no physical review exists, do not claim approval. - Check
git statusand relevant diff. Scope concurrent Claude/Codex edits. - Start
python3 tools/vibepulse_studio/server.py. Work at 1:1 480 x 480; show materially different states when coherent. - The shared LVGL raster is the visual authority. Test widest realistic copy, a missing-data state, broad numbers, and source provenance across live, cached/stale, and no-data. Compare live/stale with the same active fixture so provenance alone changes. Keep one dominant metric; round secondary values; encode discovered spacing as validator tests.
- Save accepted tokens. Run
python3 tools/vibepulse_studio/design.py --checkandtools/preview-ui.sh vibepulse; review the exact 480 x 480 captures. - Implement one static shared LVGL batch and run
./test/run.sh. Use two-stage review: specification fidelity, then code/test quality. - Build once after static acceptance. Flash only with explicit user authorization; inspect static physical AMOLED before animation.
interaction performance
Static approval does not imply motion approval. Measure cross-app lag at the shared display pipeline first.
- Reproduce the gesture on the physical panel after its static gate.
- Log gesture begin/end, first redraw, flush count and time, free internal heap, largest internal block, and transport errors.
- Repeat 20 times under network/TLS stress.
- Change one variable at a time and compare with baseline.
never increase display-buffer height without a measured memory budget and network/TLS stress run. Prefer fewer deliberate frames when bandwidth is limited.
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.
- 12d ago First seen · 73 lines · 33 tokens per session scan A 76847ad0492c
iterating-esp32-amoled-ui is a skill published in the GitHub repository niclasvestlund-YT/vibepulse (193 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 787 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 2026-08-30.
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