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/misarreach-mcp --skill run-an-outreach-sequencegit clone --depth 1 https://github.com/Misar-AI/misarreach-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/misarreach-mcp/run-an-outreach-sequence)<a href="https://agentmods.dev/skills/misar-ai/misarreach-mcp/run-an-outreach-sequence"><img src="https://agentmods.dev/badge/skills/misar-ai/misarreach-mcp/run-an-outreach-sequence/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/misarreach-mcp/run-an-outreach-sequence"><img src="https://agentmods.dev/badge/skills/misar-ai/misarreach-mcp/run-an-outreach-sequence.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 | $0.00039 | $0.00241 |
| Opus 5 | $0.00019 | $0.00120 |
| Sonnet 5 | $0.00008 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
run-an-outreach-sequence 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 11d 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
Run an outreach sequence
send_to_campaign reaches real people and cannot be recalled. Everything before
it is reversible; it is not.
Steps
list_lead_lists/list_leads— confirm the audience and its real size.get_channels_status— only build steps on channels that are connected. A step on a disconnected channel silently never sends.- Draft the sequence: how many touches, on which channels, how far apart.
preview_messagefor every step, and show the user every preview.- Wait for explicit approval.
send_to_campaign.
Rules
- Never call
send_to_campaignto "test". Usepreview_message. - If verification has not run on this list, stop and run it first.
- If the audience is far larger than the user seems to expect, say so before sending rather than after.
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.
- 11d ago First seen · 27 lines · 39 tokens per session scan A a0329e8da66e
run-an-outreach-sequence is a skill published in the GitHub repository Misar-AI/misarreach-mcp (1 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 241 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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