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 octagon-analyst-mastergit 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/octagon-analyst-master)<a href="https://agentmods.dev/skills/octagonai/octagon-mcp-server/octagon-analyst-master"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/octagon-analyst-master/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/octagon-analyst-master"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/octagon-analyst-master.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 | $0.00050 | $0.00522 |
| Opus 5 | $0.00025 | $0.00261 |
| Sonnet 5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
octagon-analyst-master 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Octagon Analyst Master
Use this skill for broad investment research requests that span several analyst workflows.
When to use
- The user wants a full company brief or investment memo
- The request mixes filings, estimates, earnings, valuation, and market data
- It is not obvious which single Octagon skill should be used first
Routing guide
- Forward estimates and consensus expectations:
analyst-estimates - Kalshi market reports or event history:
prediction-markets-analysis - Earnings transcript and guidance analysis:
earnings-call-analysis - Annual filing and risk review:
sec-10k-analysis - Real-time pricing and market snapshot:
stock-quote
If the request is still broad after routing, use octagon-agent.
Docs references
Use the live docs tools when the user asks about setup, available capabilities, or how Octagon works before starting analysis:
- Start with
octagon-docs-searchfor discovery:Claude plugin,MCP server,available agents, orauthentication - Use
octagon-docs-readfor canonical context:Octagon Claude Plugin,Octagon MCP Server,Octagon Agents Guide, orHow Octagon API Works - Prefer docs context over memory for installation, connector, authentication, and tool-surface questions
Default query pattern
Build an investment analyst brief on <COMPANY OR TICKER> covering business quality, latest performance, guidance, valuation context, and key near-term risks.
MCP call
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Build an investment analyst brief on NVDA covering business quality, latest performance, guidance, valuation context, and key near-term risks."
}
}
Output expectations
- Start with a short investment takeaway
- Break out the answer by business, financials, expectations, risks, and watch items
- Call out missing context that would improve the next turn
Follow-up prompts
- "Compare this company to its two closest public peers."
- "Now focus only on valuation and forward expectations."
- "Turn this into a long thesis and a short thesis."
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 · 63 lines · 50 tokens per session scan A 60c138b345a9
octagon-analyst-master is a skill published in the GitHub repository OctagonAI/octagon-mcp-server (147 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 522 once invoked, about $0.0003 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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