email-normalize-post-batch

email-normalize-post-batch is a skill for Claude Code from bobadilla-tech/requiems-api-skills. It costs 58 tokens per session (561 once invoked), scanned A, original, MIT.

A batch email normalizer that processes up to 100 addresses at once. It reports each address in the same order and marks invalid entries with a message.

In plain words
What is it for?
Use it before importing contacts, checking sign-up lists, or storing email addresses in a database.
Why use it?
It removes repetitive email-cleanup code and makes it easier to handle malformed addresses consistently.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the requiems-api-skills plugin — 127 skills shipped together

Good fit Use it before importing contacts, checking sign-up lists, or storing email addresses in a database.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch
Install

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.

Any agent
npx skills add bobadilla-tech/requiems-api-skills --skill email-normalize-post-batch
Clone the repo
git clone --depth 1 https://github.com/bobadilla-tech/requiems-api-skills

Made for: Claude Code.

Or install requiems-api-skills, the plugin that ships this one along with the rest of its 127 skills.

Wrote 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.

agentmods badge for email-normalize-post-batch

README.md
[![agentmods](https://agentmods.dev/badge/skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch/github.svg)](https://agentmods.dev/skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch)
Your own site
<a href="https://agentmods.dev/skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch"><img src="https://agentmods.dev/badge/skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch/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.

agentmods 80×15 button for email-normalize-post-batch

Your own site · 80×15
<a href="https://agentmods.dev/skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch"><img src="https://agentmods.dev/badge/skills/bobadilla-tech/requiems-api-skills/email-normalize-post-batch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00561
Opus 5 $0.00029 $0.00280
Sonnet 5 $0.00012 $0.00112
Haiku 4.5 $0.00006 $0.00056

Measured 8d ago against content hash d8e61616ab8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

email-normalize-post-batch 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 8d 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.

skills/email-normalize-post-batch/SKILL.md · 83 lines

What it actually says

Endpoint

POST https://requiems.xyz/v1/text/normalize/batch

Normalize Email Batch

Normalizes up to 100 email addresses in one request. Results are in the same order as the input. Each item includes valid (boolean); when false, only original and message are set. Usage is billed per email processed (see gateway usage headers).

Parameters

Name Type Required Location Description
emails array yes body Array of addresses to normalize (min 1, max 100; each entry non-empty)

Request Example

{
  "emails": [
    "[email protected]",
    "not-an-email",
    "[email protected]"
  ]
}

Response Example

{
  "data": {
    "results": [
      {
        "original": "[email protected]",
        "normalized": "[email protected]",
        "local": "user",
        "domain": "example.com",
        "changes": [],
        "valid": true
      },
      {
        "original": "not-an-email",
        "valid": false,
        "message": "invalid email address"
      },
      {
        "original": "[email protected]",
        "normalized": "[email protected]",
        "local": "test",
        "domain": "gmail.com",
        "changes": ["lowercased", "removed_dots"],
        "valid": true
      }
    ],
    "total": 3
  },
  "metadata": {
    "timestamp": "2026-01-01T00:00:00Z"
  }
}

Response Fields

Field Type Description
results array One normalization result per input email, in order
total integer Number of emails in the batch (same as results length)

Errors

  • 422 validation_failed — Missing emails, empty array, too many items, or empty string in the array
  • 400 bad_request — Invalid JSON or unknown fields in the body
Changes

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.

  1. 8d ago First seen · 83 lines · 58 tokens per session scan A d8e61616ab8c

Subscribe to this mod's changes

email-normalize-post-batch is a skill published in the GitHub repository bobadilla-tech/requiems-api-skills (2 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 561 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

humanizar

Reescreve textos em português brasileiro para soarem mais humanos e naturais, reduzindo padrões típicos de escrita gerada por IA sem alterar fatos, argumento ou intenção. Use quando o texto em PT-BR parecer genérico, burocrático ou gerado por IA, ou quando o usuário pedir para "humanizar", "dar vida", "tirar cara de…

fabricioctelles/skills · 167 tokens

human-ai

Rewrites English text so it reads as written by a person, without AI writing tics. Removes machine language patterns and AI slop, restores semantic entropy, and injects voice and personality. Use when ENGLISH text reads as generic, bland, or AI-generated - or when asked to "humanize", "de-slop", "remove AI patterns"…

fabricioctelles/skills · 115 tokens

agent-ready-cloudflare

Audit and improve website readiness for AI agents using the Cloudflare "Is It Agent Ready?" scanner (isitagentready.com). Covers scanning via API, interpreting results, generating implementation prompts, and fixing every check. Use when the user mentions "agent ready", "isitagentready", "AI agent scan", "agent…

fabricioctelles/skills · 158 tokens

aidlc-master

Runs the AWS AI-DLC (AI-Driven Development Life Cycle) methodology end to end: an adaptive three-phase workflow (Inception → Construction → Operations) with human approval gates, a full audit trail, and all artifacts in aidlc-docs/. Use when the user says "Using AI-DLC", "AI-DLC", "AIDLC", "aidlc-master", or asks for…

fabricioctelles/skills · 243 tokens

coolify-operator

Master Coolify operator for self-hosted deployment platform. Use when the user mentions 'coolify', 'deploy on coolify', 'list/restart/redeploy applications', 'view coolify logs', 'coolify API/CLI', 'manage coolify servers/databases/apps', or 'coolify context'. Automates deployments and management via REST API or…

fabricioctelles/skills · 79 tokens

okf-open-knowledge-format

Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert…

fabricioctelles/skills · 168 tokens