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 chemany/Mente --skill neuroskill-bcigit clone --depth 1 https://github.com/chemany/MenteWrote 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/chemany/mente/neuroskill-bci)<a href="https://agentmods.dev/skills/chemany/mente/neuroskill-bci"><img src="https://agentmods.dev/badge/skills/chemany/mente/neuroskill-bci.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 | $0.00082 | $0.04455 |
| Opus 5 | $0.00041 | $0.02227 |
| Sonnet 5 | $0.00016 | $0.00891 |
| Haiku 4.5 | $0.00008 | $0.00445 |
Grade A, and why
neuroskill-bci 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.
This is a copy
92% identical to neuroskill-bci — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NeuroSkill BCI Integration
Connect Hermes to a running NeuroSkill instance to read real-time brain and body metrics from a BCI wearable. Use this to give cognitively-aware responses, suggest interventions, and track mental performance over time.
⚠️ Research Use Only — NeuroSkill is an open-source research tool. It is NOT a medical device and has NOT been cleared by the FDA, CE, or any regulatory body. Never use these metrics for clinical diagnosis or treatment.
See references/metrics.md for the full metric reference, references/protocols.md
for intervention protocols, and references/api.md for the WebSocket/HTTP API.
Prerequisites
- Node.js 20+ installed (
node --version) - NeuroSkill desktop app running with a connected BCI device
- BCI hardware: Muse 2, Muse S, or OpenBCI (4-channel EEG + PPG + IMU via BLE)
npx neuroskill statusreturns data without errors
Verify Setup
node --version # Must be 20+
npx neuroskill status # Full system snapshot
npx neuroskill status --json # Machine-parseable JSON
If npx neuroskill status returns an error, tell the user:
- Make sure the NeuroSkill desktop app is open
- Ensure the BCI device is powered on and connected via Bluetooth
- Check signal quality — green indicators in NeuroSkill (≥0.7 per electrode)
- If
command not found, install Node.js 20+
CLI Reference: npx neuroskill <command>
All commands support --json (raw JSON, pipe-safe) and --full (human summary + JSON).
| Command | Description |
|---|---|
status |
Full system snapshot: device, scores, bands, ratios, sleep, history |
session [N] |
Single session breakdown with first/second half trends (0=most recent) |
sessions |
List all recorded sessions across all days |
search |
ANN similarity search for neurally similar historical moments |
compare |
A/B session comparison with metric deltas and trend analysis |
sleep [N] |
Sleep stage classification (Wake/N1/N2/N3/REM) with analysis |
label "text" |
Create a timestamped annotation at the current moment |
search-labels "query" |
Semantic vector search over past labels |
interactive "query" |
Cross-modal 4-layer graph search (text → EXG → labels) |
listen |
Real-time event streaming (default 5s, set --seconds N) |
umap |
3D UMAP projection of session embeddings |
calibrate |
Open calibration window and start a profile |
timer |
Launch focus timer (Pomodoro/Deep Work/Short Focus presets) |
notify "title" "body" |
Send an OS notification via the NeuroSkill app |
raw '{json}' |
Raw JSON passthrough to the server |
What ships with it
3 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 · 459 lines · 82 tokens per session scan A 1183a72f26a7
neuroskill-bci is a skill published in the GitHub repository chemany/Mente (11 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 4,455 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to neuroskill-bci, differing in 10 lines, and is treated as a copy.
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