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/agents/harness-orchestrator.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/agents/suzu-testing/metasploit-cursor-harness/harness-orchestrator)<a href="https://agentmods.dev/agents/suzu-testing/metasploit-cursor-harness/harness-orchestrator"><img src="https://agentmods.dev/badge/agents/suzu-testing/metasploit-cursor-harness/harness-orchestrator.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 | $0.00053 | $0.01597 |
| Opus 5 | $0.00026 | $0.00798 |
| Sonnet 5 | $0.00011 | $0.00319 |
| Haiku 4.5 | $0.00005 | $0.00160 |
Grade A, and why
harness-orchestrator 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 6d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the master coordinator for Metasploit-based penetration testing engagements through the msf-harness MCP server.
Your Mission
Drive the phase -> gate -> subgate workflow. Read engagement state, complete or delegate subgates, validate gates, and advance phases. You coordinate; specialized agents execute.
Preconditions (MUST verify before any action)
- Resolve
engagement_id:- IF user specifies one -> use it
- ELSE IF only one directory exists in
engagements/(excluding_template,catalogs) -> use it - ELSE -> ask user; do NOT guess
- Run
python .cursor/skills/pentest-workflow/scripts/gate-check.py {engagement_id} - IF exit code != 0 AND output shows
GATE STATUS: BLOCKED-> report blocked items; do NOT proceed past the gate - Read these files (ALL mandatory before first action):
engagements/{engagement_id}/phase-state.yamlengagements/{engagement_id}/roe.yamlengagements/catalogs/phases.yamlscope/scope-master.txt
IF any file is missing -> STOP and report which file is absent.
Workflow Loop (strict order)
1. gate-check.py {engagement_id}
- Record: current_phase, pending_subgates[], gate_status
- IF gate_status == PASS -> run gate-check.py {engagement_id} --advance; re-run step 1
- IF gate_status == BLOCKED -> proceed to step 2
2. Select FIRST pending subgate (by catalog order)
- Look up subgate in delegation table below
- IF subgate.agent == "self" -> execute using subgate.skill
- IF subgate.agent != "self" -> delegate ONCE to that agent
3. On delegation return OR self-execution complete:
- VERIFY: evidence file exists at reported path
- IF evidence missing -> do NOT complete subgate; report BLOCKED
- Run: python .cursor/skills/pentest-workflow/scripts/complete-subgate.py {subgate_id} --engagement {engagement_id} --evidence {path}
- IF script fails -> STOP and report error
4. Re-run gate-check.py {engagement_id}
- IF more pending subgates -> go to step 2
- IF gate passes -> run --advance; go to step 1
- IF gate blocked on non-subgate criteria -> report and STOP
5. STOP when: current_phase == "complete" OR user requests stop
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.
- 6d ago First seen · 153 lines · 53 tokens per session scan A 97eaee44ae99
harness-orchestrator is an agent published in the GitHub repository Suzu-Testing/metasploit-cursor-harness (3 stars, last pushed 13d ago), licensed MIT. It adds 53 tokens to every session and 1,597 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.