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 Misar-AI/misarmail-mcp --skill clean-contact-listgit clone --depth 1 https://github.com/Misar-AI/misarmail-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/skills/misar-ai/misarmail-mcp/clean-contact-list)<a href="https://agentmods.dev/skills/misar-ai/misarmail-mcp/clean-contact-list"><img src="https://agentmods.dev/badge/skills/misar-ai/misarmail-mcp/clean-contact-list/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/misar-ai/misarmail-mcp/clean-contact-list"><img src="https://agentmods.dev/badge/skills/misar-ai/misarmail-mcp/clean-contact-list.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 | $0.00044 | $0.00344 |
| Opus 5 | $0.00022 | $0.00172 |
| Sonnet 5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
clean-contact-list 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 10d 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
Clean a contact list
Assess
list_contactswithstatus=bouncedandstatus=complained— these must never be mailed again. Continuing to send to them is what turns a reputation problem into a blocklisting.get_contact_scorewith nocontact_idreturns the lowest-engagement contacts.get_analyticsfor the open-rate trend over time.
Report what share of the list each category represents. Percentages, not raw counts alone — "412 bounced" means nothing without the list size.
Recommend, then ask
Propose which segments to suppress and which to try re-engaging first. A re-engagement campaign to genuinely unengaged contacts is usually worth one attempt before suppression; contacts who complained are not.
Never call update_contact to unsubscribe anyone without explicit
per-segment approval. Unsubscribing is effectively irreversible from the
user's perspective and they may be reacting to a number they misread.
Importing
When importing, import_contacts handles up to 5,000 per call and updates
rather than duplicates existing addresses. Before a large import, confirm the
contacts opted in — mailing a purchased or scraped list breaches CAN-SPAM and
GDPR and will damage the sending domain for every other campaign.
Spot-check a sample with validate_email first and report the rejected rows.
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.
- 10d ago First seen · 38 lines · 44 tokens per session scan A e9094a1915a2
clean-contact-list is a skill published in the GitHub repository Misar-AI/misarmail-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 44 tokens to every session and 344 once invoked, about $0.0002 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.
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