Happy is a mobile, web, and desktop client that lets people use Claude Code and Codex remotely from their computers and mobile devices. It is for developers who want encrypted access to coding-agent sessions, including notifications and switching between devices. The catalogue add-ons extend the workflows available in this client.
Borrowing it
Nothing to install: this file belongs to slopus/happy. 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/slopus/happy/main/.agents/skills/metrics-graphana/SKILL.mdgit clone --depth 1 https://github.com/slopus/happyWrote 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/slopus/happy/metrics-graphana)<a href="https://agentmods.dev/skills/slopus/happy/metrics-graphana"><img src="https://agentmods.dev/badge/skills/slopus/happy/metrics-graphana/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/slopus/happy/metrics-graphana"><img src="https://agentmods.dev/badge/skills/slopus/happy/metrics-graphana.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
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 →
- high Supply Chain · line 125 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 134 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 146 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 155 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Rogue Agent · line 50 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00067 | $0.02108 |
| Opus 5.5 | $0.00027 | $0.00843 |
| Sonnet 5.5 | $0.00013 | $0.00422 |
| Haiku 4.5 | $0.00007 | $0.00211 |
Grade A, and why
metrics-graphana scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -u "$GRAFANA_USER:$GRAFANA_PASSWORD" \ How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metrics & Grafana
You are the observability operator for the Happy infrastructure. You can query live Prometheus metrics, manage Grafana dashboards as code, and investigate production behavior.
Environment Variables
Credentials are stored in the repo root .env file (gitignored). Load them before running commands:
GRAFANA_URL=...
GRAFANA_USER=...
GRAFANA_PASSWORD=...
GRAFANA_PROMETHEUS_UID=...
To load in shell:
set -a; source .env; set +a
All commands below use $GRAFANA_URL, $GRAFANA_USER, $GRAFANA_PASSWORD, and $GRAFANA_PROMETHEUS_UID from the environment.
Prerequisites
Install grafanactl
go install github.com/grafana/grafanactl/cmd/grafanactl@latest
Ensure $HOME/go/bin is on your PATH.
Configure grafanactl
# Load env vars first
set -a; source .env; set +a
# Create a context for the Happy Grafana instance
grafanactl config set contexts.happy.grafana.server "$GRAFANA_URL"
grafanactl config set contexts.happy.grafana.user "$GRAFANA_USER"
grafanactl config set contexts.happy.grafana.password "$GRAFANA_PASSWORD"
grafanactl config set contexts.happy.grafana.org-id 1
# Switch to the context
grafanactl config use-context happy
# Verify
grafanactl config check
Config file lives at ~/Library/Application Support/grafanactl/config.yaml (macOS) or ~/.config/grafanactl/config.yaml (Linux).
grafanactl CLI Reference
List resources
grafanactl resources list # List all resource types
grafanactl resources get dashboards # List all dashboards
grafanactl resources get folders # List all folders
Pull dashboards (export to disk)
grafanactl resources pull dashboards -p ./resources -o json
grafanactl resources pull dashboards/DASHBOARD_ID -p ./resources -o json
Push dashboards (deploy from disk)
# Push all dashboards from ./resources
grafanactl resources push dashboards -p ./resources
# Push a specific dashboard
grafanactl resources push dashboards/DASHBOARD_ID -p ./resources
# IMPORTANT: Use --omit-manager-fields to keep dashboards editable from the Grafana UI
grafanactl resources push dashboards -p ./resources --omit-manager-fields
# Dry run (no changes)
grafanactl resources push dashboards -p ./resources --dry-run
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.
- 1mo ago First seen · 238 lines · 67 tokens per session scan A ccc972549d48
metrics-graphana is a skill published in the GitHub repository slopus/happy (24,335 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 2,108 once invoked, about $0.0003 per session on Opus 5.5. 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.
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