Agent skill

Spark Recipe New Sender Review

by readdle in readdle/spark-cli-skills

Process GateKeeper's new sender queue: review, accept legitimate contacts, and block unwanted senders.

MITAuto-check passed

Install Spark Recipe New Sender Review

skills CLI
$ npx skills add readdle/spark-cli-skills --skill spark-recipe-new-sender-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install readdle/spark-cli-skills spark-recipe-new-sender-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/readdle/spark-cli-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recipe-new-sender-review .claude/skills/spark-recipe-new-sender-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
spark-recipe-new-sender-review
GitHub stars
149
Token cost
~536 tokens
SKILL.md length
225 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Process GateKeeper's new sender queue: review, accept legitimate contacts, and block unwanted senders.

  • Works in 5 steps: Check the new senders queue → Review each sender → Accept legitimate senders → …
  • SKILL.md covers Steps and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spark Recipe New Sender Review is an agent skill from readdle/spark-cli-skills. Process GateKeeper's new sender queue: review, accept legitimate contacts, and block unwanted senders.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

Example prompts

  • “/spark-recipe-new-sender-review”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Check the new senders queue
  2. Review each sender
  3. Accept legitimate senders
  4. Block unwanted senders
  5. Verify

What it can do on your machine

Read from SKILL.md and the folder at commit cb20383. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Spark Recipe New Sender Review loads about 536 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~536

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from readdle/spark-cli-skills at commit cb20383, republished under its MIT licence (© readdle). 225 words, ~536 tokens.

Download SKILL.mdSave it as .claude/skills/spark-recipe-new-sender-review/SKILL.md (or your agent's skills folder).
name
spark-recipe-new-sender-review
description
Process GateKeeper's new sender queue: review, accept legitimate contacts, and block unwanted senders.
metadata.version
1.0.0

Recipe: New Sender Review

Process Spark's GateKeeper queue of new senders. Review each, accept legitimate contacts, and block unwanted ones.

Prerequisite: Read the use-spark base skill for command reference and filter syntax.

Access level required: triage.

Steps

Step 1: Check the new senders queue
bash
spark emails Inbox --new-senders

This shows emails from senders that GateKeeper has quarantined (explicit mode). The normal inbox view filters these out automatically.

Step 2: Review each sender

For each new sender email, read the content:

bash
spark thread <id>

Decide: is this a legitimate contact or unwanted mail?

Step 3: Accept legitimate senders
bash
spark contact-action acceptContact sender@company.com

This moves the sender past GateKeeper - their future emails appear in the normal inbox.

To accept an entire domain:

bash
spark contact-action acceptDomain company.com
Step 4: Block unwanted senders
bash
spark contact-action blockContact spammer@example.com

To block an entire domain:

bash
spark contact-action blockDomain example.com
Step 5: Verify
bash
spark emails Inbox --new-senders

Confirm the queue is empty or report what's left.

Tips

  • GateKeeper only shows new sender emails when --new-senders is used - they're filtered from the normal inbox view.
  • When in doubt, accept the contact first. You can always block them later.
  • acceptDomain is useful for legitimate companies with multiple sender addresses (support@, billing@, etc.).
  • blockDomain is aggressive - use it for clearly spammy domains, not for individual unwanted senders.
  • Run this recipe regularly (daily or every few days) so legitimate contacts don't wait too long in the queue.
  • The new senders count appears at the top of the inbox output when there are queued items.

© readdle, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/recipe-new-sender-review of readdle/spark-cli-skills.

Open the folder on GitHubat commit cb20383

Compare with similar skills

Spark Recipe New Sender Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Spark Recipe New Sender Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spark Recipe New Sender Review this skillreaddle/spark-cli-skills149—~536Automated safety check: PassMIT
Ecc Recipesaffaan-m/ECC277k1 repos~1.6kAutomated safety check: PassMIT
QA Acceptancepaperclipai/paperclip100k—~964Automated safety check: PassMIT
Acceptance Orchestratorsickn33/agentic-awesome-skills47k2 repos~943Automated safety check: PassMIT
Acceptance Evidence for Deliverieslobehub/lobehub83k—~9.7kAutomated safety check: PassApache-2.0
Apache Spark Optimizationwshobson/agents40k9 repos~789Automated safety check: PassMIT

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Questions about Spark Recipe New Sender Review

What does Spark Recipe New Sender Review do?

Process GateKeeper's new sender queue: review, accept legitimate contacts, and block unwanted senders. Spark Recipe New Sender Review is an agent skill from readdle/spark-cli-skills. Process GateKeeper's new sender queue: review, accept legitimate contacts, and block unwanted senders.

How do I install Spark Recipe New Sender Review in Claude Code?

Run `npx skills add readdle/spark-cli-skills --skill spark-recipe-new-sender-review -a claude-code`. Or copy the skill folder (skills/recipe-new-sender-review in readdle/spark-cli-skills) into .claude/skills/spark-recipe-new-sender-review in your project. Claude Code loads it when a task matches its description.

How do I install Spark Recipe New Sender Review in Codex?

Run `npx skills add readdle/spark-cli-skills --skill spark-recipe-new-sender-review -a codex`. Or copy the skill folder (skills/recipe-new-sender-review in readdle/spark-cli-skills) into .agents/skills/spark-recipe-new-sender-review in your project. Codex loads it when a task matches its description.

Can I use Spark Recipe New Sender Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add readdle/spark-cli-skills --skill spark-recipe-new-sender-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spark-recipe-new-sender-review, .gemini/skills/spark-recipe-new-sender-review, .github/skills/spark-recipe-new-sender-review and .opencode/skills/spark-recipe-new-sender-review in your project.

What does Spark Recipe New Sender Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Spark Recipe New Sender Review is instructions for the agent only.

Does Spark Recipe New Sender Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Spark Recipe New Sender Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Spark Recipe New Sender Review use?

Spark Recipe New Sender Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spark Recipe New Sender Review use?

About 536 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Spark Recipe New Sender Review?

Skills that share tags, products or a category with Spark Recipe New Sender Review: Ecc Recipes (affaan-m/ECC, 277k stars), QA Acceptance (paperclipai/paperclip, 100k stars), Acceptance Orchestrator (sickn33/agentic-awesome-skills, 47k stars) and Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spark Recipe New Sender Review?

readdle (a GitHub organization) maintains it in readdle/spark-cli-skills, which has 149 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 7, 2026.

Source: readdle/spark-cli-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.