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 neurarelay/relay-action-card --skill neura-first-receiptgit clone --depth 1 https://github.com/neurarelay/relay-action-cardWrote 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/neurarelay/relay-action-card/neura-first-receipt)<a href="https://agentmods.dev/skills/neurarelay/relay-action-card/neura-first-receipt"><img src="https://agentmods.dev/badge/skills/neurarelay/relay-action-card/neura-first-receipt/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/neurarelay/relay-action-card/neura-first-receipt"><img src="https://agentmods.dev/badge/skills/neurarelay/relay-action-card/neura-first-receipt.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 | $0.00056 | $0.00242 |
| Opus 5.5 | $0.00022 | $0.00097 |
| Sonnet 5.5 | $0.00011 | $0.00048 |
| Haiku 4.5 | $0.00006 | $0.00024 |
Grade A, and why
neura-first-receipt 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 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.
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.
What it actually says
Neura First Receipt
Use this skill to help a developer get the first Decision Receipt through the direct public Relay path.
Workflow
- Start with direct public
POST /api/resolve; do not require MCP or A2A. - Use this repo's core example or
scripts/run-first-receipt.mjs. - Confirm the result includes
decision_receipt.receipt_id,trace_ref, andtransaction_ledger.transaction_ref. - Explain that optional MCP and A2A execution paths require controlled access and are not public token issuance.
- Keep downstream execution in the developer-owned system.
Commands
From the public example repo:
npm install
npm run example:relay -- --example=support-reply --json
From this skill folder:
node scripts/run-first-receipt.mjs
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.
- 1mo ago First seen · 32 lines · 56 tokens per session scan A b94e22b48be7
neura-first-receipt is a skill published in the GitHub repository neurarelay/relay-action-card (2 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 242 once invoked, about $0.0002 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.
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