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 sec-10k-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/sec-10k-analysis)<a href="https://agentmods.dev/skills/octagonai/octagon-mcp-server/sec-10k-analysis"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/sec-10k-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/sec-10k-analysis"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/sec-10k-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 | $0.00053 | $0.00281 |
| Opus 5 | $0.00026 | $0.00140 |
| Sonnet 5 | $0.00011 | $0.00056 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
sec-10k-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 13d 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
SEC 10-K Analysis
Use this skill for annual filing due diligence and risk review.
Query format
Analyze the latest 10-K for <COMPANY OR TICKER> and summarize the business model, key risks, segment performance, and material changes versus the prior year.
MCP call
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Analyze the latest 10-K for MSFT and summarize the business model, key risks, segment performance, and material changes versus the prior year."
}
}
Output expectations
- Start with a short business overview
- Pull out the most material risks instead of listing everything
- Highlight reporting segments, capital allocation, and accounting watch items
- Compare important changes to the prior annual filing when evidence is available
Follow-up prompts
- "Expand only the risk factors section."
- "Compare the current 10-K to last year's filing."
- "Extract segment performance and margin commentary."
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.
- 13d ago First seen · 40 lines · 53 tokens per session scan A fc0310af395a
sec-10k-analysis is a skill published in the GitHub repository OctagonAI/octagon-mcp-server (147 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 281 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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