Borrowing it
Nothing to install: this file belongs to CiscoDevNet/CiscoFMC-MCP-server-community. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/CiscoDevNet/CiscoFMC-MCP-server-community/main/AGENTS.mdgit clone --depth 1 https://github.com/CiscoDevNet/CiscoFMC-MCP-server-communityWrote 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/instructions/ciscodevnet/ciscofmc-mcp-server-community/agents-md)<a href="https://agentmods.dev/instructions/ciscodevnet/ciscofmc-mcp-server-community/agents-md"><img src="https://agentmods.dev/badge/instructions/ciscodevnet/ciscofmc-mcp-server-community/agents-md/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/instructions/ciscodevnet/ciscofmc-mcp-server-community/agents-md"><img src="https://agentmods.dev/badge/instructions/ciscodevnet/ciscofmc-mcp-server-community/agents-md.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 | $0.00303 | $0.00303 |
| Opus 5.5 | $0.00121 | $0.00121 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
CiscoFMC-MCP-server-community AGENTS.md 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 2mo 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
AGENTS.md
This repo is a Model Context Protocol (MCP) server that connects to Cisco Secure Firewall Management Center (FMC) and exposes safe, high-level tools for querying policies/rules.
Non-negotiable guardrails
- Never add code that logs, prints, or returns FMC credentials/tokens.
- Never weaken input validation for indicators (IP/CIDR/range/FQDN/identity indicators).
- Any new tool must enforce: validation -> least-privilege API calls -> bounded pagination -> redaction.
- Do not introduce “execute/change” capabilities unless explicitly requested (this project is primarily read/query).
Setup commands
- Create venv:
python -m venv .venv && source .venv/bin/activate - Install deps:
pip install -r requirements.txt - Run tests:
python -m pytest tests - Run server (local):
python -m sfw_mcp_fmc.server - Run server (docker):
docker compose up -d --build
Code style & quality
- Prefer small modules, SOLID boundaries, and explicit error handling.
- Add/extend unit tests for parsing + search logic.
- Do not add heavy dependencies unless necessary.
- Keep API calls time-bounded and handle FMC pagination safely.
Security checks before PR
- Ensure
.envis NOT committed. - Ensure logs don’t include secrets.
- Ensure any new endpoint/tool has input validation + output redaction.
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.
- 2mo ago First seen · 29 lines · 303 tokens per session scan A f7157d627699
CiscoFMC-MCP-server-community AGENTS.md is an instructions file published in the GitHub repository CiscoDevNet/CiscoFMC-MCP-server-community (8 stars, last pushed 4mo ago), licensed MIT. It adds 303 tokens to every session, about $0.0012 per session on Opus 5.5. 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.
CiscoFMC-MCP-server-community AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| CiscoFMC-MCP-server-community AGENTS.mdCiscoDevNet/CiscoFMC-MCP-server-community | Instructions file | 8 | 4mo ago | MIT | A | 303 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |