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 pleaseai/claude-code-plugins --skill recipe-label-and-archive-emailsgit clone --depth 1 https://github.com/pleaseai/claude-code-pluginsWrote 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/pleaseai/claude-code-plugins/recipe-label-and-archive-emails)<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/recipe-label-and-archive-emails"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/recipe-label-and-archive-emails.svg" alt="Measured on agentmods" 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 | $0.00256 |
| Opus 5 | $0.00012 | $0.00128 |
| Sonnet 5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
recipe-label-and-archive-emails 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 today.
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.
This is a copy
100% identical to recipe-label-and-archive-emails — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Label and Archive Gmail Threads
PREREQUISITE: Load the following skills to execute this recipe:
gws-gmail
Apply Gmail labels to matching messages and archive them to keep your inbox clean.
Steps
- Search for matching emails:
gws gmail users messages list --params '{"userId": "me", "q": "from:[email protected]"}' --format table - Apply a label:
gws gmail users messages modify --params '{"userId": "me", "id": "MESSAGE_ID"}' --json '{"addLabelIds": ["LABEL_ID"]}' - Archive (remove from inbox):
gws gmail users messages modify --params '{"userId": "me", "id": "MESSAGE_ID"}' --json '{"removeLabelIds": ["INBOX"]}'
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.
- today First seen · 28 lines · 23 tokens per session scan A 361365060550
recipe-label-and-archive-emails is a skill published in the GitHub repository pleaseai/claude-code-plugins (13 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 256 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to recipe-label-and-archive-emails, differing in 0 lines, and is treated as a copy.
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