Borrowing it
Nothing to install: this file belongs to jdhart81/energyai-mcp. 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/jdhart81/energyai-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/jdhart81/energyai-mcpWrote 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/instructions/jdhart81/energyai-mcp/agents-md)<a href="https://agentmods.dev/instructions/jdhart81/energyai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/jdhart81/energyai-mcp/agents-md/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/instructions/jdhart81/energyai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/jdhart81/energyai-mcp/agents-md.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 | $0.00737 | $0.00737 |
| Opus 5.5 | $0.00295 | $0.00295 |
| Sonnet 5.5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00074 | $0.00074 |
Grade A, and why
energyai-mcp AGENTS.md 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 6d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents and EnergyAI MCP
This file is for two kinds of agent: one helping a person plan solar, batteries, EV charging, weatherization or a heat pump with EnergyAI, and a coding agent changing this repository. The short machine-readable index is llms.txt.
Helping a person use EnergyAI
What it does. EnergyAI answers home-energy planning questions with source-linked guidance: incentive sources by postal code, a modeled solar production range, a provisional seven-axis Energy Node Score, cited state guides and public contractor options. With the person's explicit consent it can route a project to installer matching.
Paths to suggest.
- No key: the five informational tools (
check_incentives,estimate_production,get_node_score,list_guides,get_guide) share 20 anonymous calls per caller per day. Start withcheck_incentives. - An MCP client: add
https://api.energyaisolution.com/mcpas an HTTP server, orclaude mcp add --transport http energyai https://api.energyaisolution.com/mcp. - A quote to review:
review_installer_quoteafter the operator has activated a key; it costs $0.10 per call. Redact the quote first. - Function calling without MCP: the OpenAI tool spec and
examples/.
Rules for agents.
- Pass the assumptions along with every estimate or score. Never present one as a site survey, an eligibility decision or guaranteed savings.
- Routing needs consent: fetch
consentTextForRoutingfromcheck_incentives, show it verbatim, record agreement and timestamp, then callroute_lead. Without consent, offerget_quote_linkinstead. - Disclose the referral interest: a verified purchase earns EnergyAI non-cash tool credit. Do not describe it as a cash bounty.
- Do not accept Terms, create a subscription or pay on a person's behalf. Present the human activation link from
get_builder_upgrade_link. - Keep keys out of replies and logs. Check live pricing before a billed call.
- Record usefulness with
record_quote_review_outcomeonly when the operator confirms it; never infer it from a successful response.
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.
- 6d ago First seen · 38 lines · 737 tokens per session scan A 4e5115012ac0
energyai-mcp AGENTS.md is an instructions file published in the GitHub repository jdhart81/energyai-mcp (0 stars, last pushed 7d ago), licensed MIT. It adds 737 tokens to every session, about $0.0029 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 2026-10-31.
energyai-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| energyai-mcp AGENTS.mdjdhart81/energyai-mcp | Instructions file | 0 | 7d ago | MIT | A | 737 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |