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 audit-autopilot-and-agentgit 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/audit-autopilot-and-agent)<a href="https://agentmods.dev/skills/misar-ai/misarreach-mcp/audit-autopilot-and-agent"><img src="https://agentmods.dev/badge/skills/misar-ai/misarreach-mcp/audit-autopilot-and-agent/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/audit-autopilot-and-agent"><img src="https://agentmods.dev/badge/skills/misar-ai/misarreach-mcp/audit-autopilot-and-agent.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 | $0.00206 |
| Opus 5 | $0.00022 | $0.00103 |
| Sonnet 5 | $0.00009 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
audit-autopilot-and-agent 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 12d 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
Audit autopilot and the sales agent
Automation that sends on your behalf needs periodic review — the failure mode is silent, and it compounds.
Steps
get_autopilot_statusandlist_autopilot_runs— what has it sent?get_sales_agent_configandget_sales_agent_actions— what is the agent configured to do, and what did it actually do?
Report
- Volume sent, reply rate, bounce rate, complaint rate.
- Any action you would not have taken, and why.
If bounce or complaint rates are unhealthy, recommend pausing plainly rather
than burying it. Do not call start_autopilot or update_sales_agent_config
without explicit approval.
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.
- 12d ago First seen · 25 lines · 44 tokens per session scan A 691c7ce219df
audit-autopilot-and-agent is a skill published in the GitHub repository Misar-AI/misarreach-mcp (1 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 206 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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