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 conow-labs/agent-skills --skill conow-devicegit clone --depth 1 https://github.com/conow-labs/agent-skillsWrote 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/conow-labs/agent-skills/conow-device)<a href="https://agentmods.dev/skills/conow-labs/agent-skills/conow-device"><img src="https://agentmods.dev/badge/skills/conow-labs/agent-skills/conow-device/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/conow-labs/agent-skills/conow-device"><img src="https://agentmods.dev/badge/skills/conow-labs/agent-skills/conow-device.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 | $0.00240 | $0.06186 |
| Opus 5.5 | $0.00096 | $0.02474 |
| Sonnet 5.5 | $0.00048 | $0.01237 |
| Haiku 4.5 | $0.00024 | $0.00619 |
Grade A, and why
conow-device 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conow Device Skill (Generic + Energy)
This skill exposes per-device end-user APIs through a single CLI. The same sk- Bearer token can address both Tuya generic devices and Conow energy devices; the CLI internally calls GET /v1.0/end-user/energy/devices/topo and GET /v1.0/end-user/energy/devices/protocol to decide which branch to use, so callers do not need to make that decision themselves.
Basic Information
- Authentication: Via Header
Authorization: Bearer {Api-key} - Credentials: Read from environment variable
CONOW_API_KEY. Base URL is auto-detected from the API key prefix. Override withCONOW_BASE_URLif needed. - API Reference: See
references/device_routing.md - Energy device control (confirm gate): See
references/device_control_confirm.md - Python CLI: See
scripts/conow_device_cli.py
Environment Variable Configuration
export CONOW_API_KEY="your-conow-api-key"
# CONOW_BASE_URL is optional — auto-detected from the sk- key prefix.
# Set it only if your deployment provides a dedicated gateway URL, e.g.:
# export CONOW_BASE_URL="https://openapi.tuyaeu.com"
| Env var | Flag | Purpose |
|---|---|---|
CONOW_API_KEY |
--api-key |
Required. Bearer token starting with sk-. |
CONOW_BASE_URL |
--base-url |
Override gateway URL. |
CONOW_DEVICE_ID |
--dev-id |
Optional. Default devId for device commands (overridden by --dev-id). |
The skill will not load if CONOW_API_KEY is missing. Never echo the raw key back to the user.
Routing Boundaries
| Scope | Handling |
|---|---|
| Account/home device inventory, single device status, control, Thing Model, topology, protocol, alarms, device indicators | Use this skill |
| Home-level consumption, generation, indicator aggregate/trend, tariff, forecast, or AI dispatch schedule | Out of scope for this device skill |
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.
- 2mo ago First seen · 302 lines · 0 tokens per session scan A 9163ef7659a7
conow-device is a skill published in the GitHub repository conow-labs/agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 240 tokens to every session and 6,186 once invoked, about $0.0010 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 2026-08-31.
conow-device compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| conow-deviceconow-labs/agent-skills | Skill | 2 | 4mo ago | MIT | A | 240 | Claude Code, Codex |
| 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 |