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 OctagonAI/octagon-mcp-server --skill earnings-call-analysisgit clone --depth 1 https://github.com/OctagonAI/octagon-mcp-serverWrote 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/octagonai/octagon-mcp-server/earnings-call-analysis)<a href="https://agentmods.dev/skills/octagonai/octagon-mcp-server/earnings-call-analysis"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/earnings-call-analysis/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/octagonai/octagon-mcp-server/earnings-call-analysis"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/earnings-call-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00261 |
| Opus 5 | $0.00021 | $0.00130 |
| Sonnet 5 | $0.00008 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
earnings-call-analysis 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
Earnings Call Analysis
Use this skill to extract the most important insights from recent earnings calls.
Query format
Analyze the latest earnings call for <COMPANY OR TICKER> and summarize guidance, management commentary, analyst concerns, and strategic takeaways.
MCP call
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Analyze the latest earnings call for AMZN and summarize guidance, management commentary, analyst concerns, and strategic takeaways."
}
}
Output expectations
- Separate prepared remarks from Q&A when possible
- Quote or paraphrase management guidance clearly
- Identify repeat themes, risk signals, and what changed from prior calls
- End with the top issues to monitor into the next quarter
Follow-up prompts
- "Focus only on revenue guidance and margin commentary."
- "What did analysts press management on during Q&A?"
- "Compare this call to the prior quarter's transcript."
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 · 40 lines · 42 tokens per session scan A f39b4f9c51ad
earnings-call-analysis is a skill published in the GitHub repository OctagonAI/octagon-mcp-server (147 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 261 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 2026-08-30.
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