Borrowing it
Nothing to install: this file belongs to Suzu-Testing/metasploit-cursor-harness. 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/Suzu-Testing/metasploit-cursor-harness/main/.cursor/skills/msf-recon/SKILL.mdgit clone --depth 1 https://github.com/Suzu-Testing/metasploit-cursor-harnessWrote 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/suzu-testing/metasploit-cursor-harness/msf-recon)<a href="https://agentmods.dev/skills/suzu-testing/metasploit-cursor-harness/msf-recon"><img src="https://agentmods.dev/badge/skills/suzu-testing/metasploit-cursor-harness/msf-recon.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.01985 |
| Opus 5 | $0.00020 | $0.00992 |
| Sonnet 5 | $0.00008 | $0.00397 |
| Haiku 4.5 | $0.00004 | $0.00198 |
Grade A, and why
msf-recon 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 8d 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metasploit Reconnaissance
When to Use
- Initial target mapping after network scan
- Searching Metasploit modules for specific CVEs or services
- Correlating Nexpose/nmap results with Metasploit module coverage
- Querying hosts, services, vulns, and credentials from msfdb
Prerequisites
- Metasploit RPC running (check with
msf_status) msfdbinitialized with scan data (imported viamsf_db_importormsf_db_nmap)- Targets in
scope/scope-master.txt
Tool Inventory
Read-only: msf_status, msf_host_info, msf_service_info, msf_vulnerability_info, msf_note_info, msf_credential_info, msf_loot_info, msf_search_modules, msf_module_info, msf_get_lab_network, msf_list_workspaces
Action (engagement_id required): msf_db_nmap, msf_db_import, msf_create_workspace, msf_set_workspace, msf_run_auxiliary_module
Workflow
Step 1: Verify connectivity
MSF MCP (preferred):
msf_status()
CLI fallback:
wsl -e bash -lc "msfconsole -q -x 'version; exit'"
Step 2: Lab network and workspace setup
MSF MCP (preferred):
msf_get_lab_network()
msf_list_workspaces()
msf_create_workspace(
engagement_id="<id>",
workspace_name="engagement-<id>"
)
msf_set_workspace(
engagement_id="<id>",
workspace_name="engagement-<id>"
)
CLI fallback:
wsl -e bash -lc "msfconsole -q -x 'workspace -a engagement-<id>; workspace engagement-<id>; exit'"
Step 3: Network scan and import
Resolve scan ports deterministically:
msf_get_lab_network()-> useport_mapkeys as scan targets- Else use
engagements/{id}/targets.yamlport list if defined - Else default:
-p 21,22,23,25,53,80,110,111,135,139,143,443,445,993,995,1433,1521,2049,3306,3389,5432,5900,5985,6667,8080,8443,9667 - Only use
-p-(all ports) if the user explicitly requests a full port scan
MSF MCP (preferred):
msf_db_nmap(
engagement_id="<id>",
targets="<target>",
nmap_args="-sV --open -T4 -p <ports_from_above>"
)
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.
- 8d ago First seen · 260 lines · 41 tokens per session scan A 9ba090334357
msf-recon is a skill published in the GitHub repository Suzu-Testing/metasploit-cursor-harness (3 stars, last pushed 14d ago), licensed MIT. It adds 41 tokens to every session and 1,985 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…