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 FernanMoreno/DomoAI --skill optimize-ev-charginggit clone --depth 1 https://github.com/FernanMoreno/DomoAIWrote 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/fernanmoreno/domoai/optimize-ev-charging)<a href="https://agentmods.dev/skills/fernanmoreno/domoai/optimize-ev-charging"><img src="https://agentmods.dev/badge/skills/fernanmoreno/domoai/optimize-ev-charging/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/fernanmoreno/domoai/optimize-ev-charging"><img src="https://agentmods.dev/badge/skills/fernanmoreno/domoai/optimize-ev-charging.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 | $0.00023 | $0.00642 |
| Opus 5 | $0.00012 | $0.00321 |
| Sonnet 5 | $0.00005 | $0.00128 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
optimize-ev-charging 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 4d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimize EV charging
This portable procedure creates a bounded charging proposal. It does not infer charger authority from a vehicle label and never calls a vendor route.
Declared operations
discover_devicesget_stateget_energy_contextoptimize_scenariovalidate_planexplain_solutionoperator_approvalcommit_or_schedule_bundle
Operation bindings
discover_devices→mcp.discover_devices(read)get_state→mcp.get_state(read)get_energy_context→mcp.get_energy_context(read)optimize_scenario→mcp.optimize_scenario(proposal)validate_plan→mcp.validate_plan(validation)explain_solution→mcp.explain_solution(read)operator_approval→operator.request_approval(approval)commit_or_schedule_bundle→mcp.commit_or_schedule_bundle(mutation)
Procedure
discover_devices— identify a qualified EV charger and its canonical power capability.get_state— read connector, charging and availability state; stop when stale or unavailable.get_energy_context— read tariff and site-power context for the complete deadline horizon.optimize_scenario— propose charging slots with explicit capacity, deadline and import limits.validate_plan— bind the proposal to current policy, capabilities and state dependencies.explain_solution— show deadline margin, power assumptions and any unserved energy.operator_approval— request approval for the exact ordered bundle when mutation is required.commit_or_schedule_bundle— submit only the approved, digest-bound bundle for runtime admission and readback.
Safety rules
- Never exceed charger, household or contract-power limits; a missing limit is a stop condition.
- Do not treat vehicle presence as permission to charge or as proof of connector safety.
- A stale connector, meter or power-feedback state stops the procedure.
- Approval covers the exact bundle digest, not a future replacement proposal.
- Timeout, rejected admission or missing readback is
UNKNOWN; do not retry blindly. - No direct adapter, vendor, solver or alarm/security operation is allowed.
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.
- 4d ago First seen · 60 lines · 23 tokens per session scan A d6b9dba51b6c
optimize-ev-charging is a skill published in the GitHub repository FernanMoreno/DomoAI (0 stars, last pushed 5d ago), licensed MPL-2.0. It adds 23 tokens to every session and 642 once invoked, about $0.0001 per session on Opus 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 2026-09-08.
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