Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Itsokay-co/bio-vibing/plugin install bio-vibingWrote 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/itsokay-co/bio-vibing/connect)<a href="https://agentmods.dev/skills/itsokay-co/bio-vibing/connect"><img src="https://agentmods.dev/badge/skills/itsokay-co/bio-vibing/connect/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/itsokay-co/bio-vibing/connect"><img src="https://agentmods.dev/badge/skills/itsokay-co/bio-vibing/connect.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 | $0.00042 | $0.00681 |
| Opus 5.5 | $0.00017 | $0.00272 |
| Sonnet 5.5 | $0.00008 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
connect 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 2mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Connect
Test the wearable API connection and report what data is available.
Steps
- Detect which wearable is configured and test the connection:
python3 << 'PYEOF'
import sys, os
sys.path.insert(0, os.path.join(os.environ.get('CLAUDE_PLUGIN_ROOT', '.'), 'lib'))
from providers import detect_provider, get_provider, list_configured_providers, PROVIDERS
# Show detection result
configured = list_configured_providers()
if not configured:
env_vars = [f" {v['env']} ({k})" for k, v in PROVIDERS.items()]
print("ERROR: No wearable configured.")
print("Set one of these environment variables:")
print("\n".join(env_vars))
sys.exit(1)
active = detect_provider()
print(f"Detected provider: {active}")
if len(configured) > 1:
print(f"All configured: {', '.join(configured)}")
print(f"(Override with BIOMETRIC_PROVIDER env var)")
# Test connection
provider = get_provider(active)
result = provider.test_connection()
if not result["connected"]:
print(f"\nERROR: Connection failed — {result['info']}")
sys.exit(1)
print(f"\nConnected to {active}")
print(f" {result['info']}")
# Check available data
from datetime import datetime, timedelta
end = datetime.now().strftime("%Y-%m-%d")
start = (datetime.now() - timedelta(days=365)).strftime("%Y-%m-%d")
print(f"\nAvailable data:")
counts = provider.fetch_available_data(start, end)
for endpoint, count in counts.items():
print(f" {endpoint.replace('_', ' ').title()}: {count} records")
# Fetch user profile
profile = provider.fetch_user_profile()
if profile:
parts = []
if profile.age: parts.append(f"{profile.age}y")
if profile.biological_sex: parts.append(profile.biological_sex)
if profile.weight_kg: parts.append(f"{profile.weight_kg}kg")
if profile.height_m: parts.append(f"{profile.height_m}m")
if parts:
print(f"\nUser: {', '.join(parts)}")
print(f"\nReady to biohack.")
PYEOF
Output Format
Present the results as:
Detected provider: [provider]
Connected to [provider]
[user info]
Available data:
Sleep: [N] records
Readiness: [N] records
Activity: [N] records
Stress: [N] records
User: [age]y, [sex], [weight]kg
Ready to biohack.
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.
- 2mo ago First seen · 96 lines · 42 tokens per session scan A c3389a72c01d
connect is a skill published in the GitHub repository Itsokay-co/bio-vibing (17 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 681 once invoked, about $0.0002 per session on Opus 5.5. 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.
connect compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| connectItsokay-co/bio-vibing | Skill | 17 | 3mo ago | Apache-2.0 | A | 42 | Claude Code |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| jetson-diagnosticNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code, Codex |
| holoscan-install-wheelNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
| offensive-z-waveSnailSploit/Claude-Red | Skill | 10k | 25d ago | MIT | A | 113 | Claude Code, Codex |
| doca-socket-relayNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 236 | Claude Code, Codex |
| hsb-flashNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | B | 94 | Claude Code |