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-dispatchgit 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-dispatch)<a href="https://agentmods.dev/skills/conow-labs/agent-skills/conow-dispatch"><img src="https://agentmods.dev/badge/skills/conow-labs/agent-skills/conow-dispatch/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-dispatch"><img src="https://agentmods.dev/badge/skills/conow-labs/agent-skills/conow-dispatch.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 | $0.00138 | $0.03212 |
| Opus 5.5 | $0.00055 | $0.01285 |
| Sonnet 5.5 | $0.00028 | $0.00642 |
| Haiku 4.5 | $0.00014 | $0.00321 |
Grade A, and why
conow-dispatch 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conow Home AI Dispatch Skill
This skill exposes the home-level AI energy-dispatch end-user APIs (HEMS savings mode). It supports:
- Reading the dispatch status / schedule for one home or all visible homes.
- Disabling dispatch on a specific home.
Dispatch status is three-state
A home is not just on/off. The list / query commands classify each home into one of three states — report them distinctly, and never describe an idle home as actively saving:
| State | Meaning | How it is detected |
|---|---|---|
| enabled | Dispatch is on and actively acting — at least one device is currently dispatching and the home is not allDeviceUnable. This is the only state that is genuinely saving right now. |
deviceDispatchList has ≥1 dispatched device AND allDeviceUnable=false |
| idle | Dispatch is configured/on but not currently acting — allDeviceUnable=true, or 0 devices are dispatched. The home is NOT actively saving; do not quote it as if it were. Common causes: all devices unable, or a command conflict knocked devices out of the plan. |
allDeviceUnable=true, or 0 dispatched devices |
| disabled | Dispatch is off. | not configured / disabled |
This skill intentionally does not surface enabling dispatch. A save/enable endpoint does exist on the backend, but enabling is a deliberate out-of-scope policy choice here — not an API gap. If the user asks to turn dispatch on, direct them to the Conow App's AI Dispatch / Savings Mode toggle on that home.
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 (same mapping asconow-energy). Override withCONOW_BASE_URLif needed. - API Reference: See
references/dispatch_reference.md - Python CLI: See
scripts/conow_dispatch_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"
What ships with it
2 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 · 201 lines · 138 tokens per session scan A 4bd9a7fb6343
conow-dispatch is a skill published in the GitHub repository conow-labs/agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 138 tokens to every session and 3,212 once invoked, about $0.0006 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-dispatch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| conow-dispatchconow-labs/agent-skills | Skill | 2 | 4mo ago | MIT | A | 138 | 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 |