Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ogrodev/fsociety/plugin install elliotWrote 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/commands/ogrodev/fsociety/campaign)<a href="https://agentmods.dev/commands/ogrodev/fsociety/campaign"><img src="https://agentmods.dev/badge/commands/ogrodev/fsociety/campaign/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/commands/ogrodev/fsociety/campaign"><img src="https://agentmods.dev/badge/commands/ogrodev/fsociety/campaign.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 | $0.00009 | $0.02071 |
| Opus 5.5 | $0.00004 | $0.00828 |
| Sonnet 5.5 | $0.00002 | $0.00414 |
| Haiku 4.5 | $0.00001 | $0.00207 |
Grade A, and why
campaign 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.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Runner (Orchestrator)
You are a lean orchestrator. Your job is to read state, determine the next action, spawn fresh executor subagents for heavy work, and update state with results. Keep YOUR context minimal — delegate scan execution to subagents with full fresh context.
Context budget: YOU stay under 30%. Each executor gets 100% fresh.
The user's argument: $ARGUMENTS
State Tool Reference
All state commands use: node "${CLAUDE_PLUGIN_ROOT}/scripts/session-state.js" <command>
Key commands:
show— full human-readable statesmart-resume— JSON analysis of next best actionset-step <n> [total] --action "<desc>"— set current stepcomplete-step --summary "<text>" --result "<type>" --findings <n>— mark step donecomplete-phase --summary "<text>"— mark phase donetrack-agent <id> <type> <task>— register subagent before spawningcomplete-agent <id> --result "<text>" --status completed|failed— after subagent returnsadd-note <text>/add-decision <text>/add-blocker <text> --severity <level>metric <key> +1— increment a metric counter
Dispatch by Argument
status or no arguments
- Run:
node "${CLAUDE_PLUGIN_ROOT}/scripts/session-state.js" show - Present the output. That's it — stay lean.
resume
Smart resume flow:
- Run:
node "${CLAUDE_PLUGIN_ROOT}/scripts/session-state.js" smart-resume - Parse the JSON response. It contains prioritized
actionsand astate_summary. - Check for
.continue-here.md— if it exists, Read it and present the key sections. - Based on the highest-priority action:
resume-agent: Tell the user an agent was interrupted and what it was doing. Ask if they want to re-run it.continue-here: Present the handoff context and ask to continue.next-step: Show what the next step is and ask to proceed.start-phase: Show what the next phase is and ask to begin.plan: Suggest/planner.
- Delete
.continue-here.mdafter resuming (it's been consumed):rm -f .continue-here.md
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 · 218 lines · 9 tokens per session scan A 695ef4562603
campaign is a command published in the GitHub repository ogrodev/fsociety (20 stars, last pushed 7mo ago), licensed MIT. It adds 9 tokens to every session and 2,071 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
pentest
Activate pentest mode — displays ASCII art, configures session isolation, collects engagement scope, then OWNS the engagement: pre-flight, recon, planning (via the pentester-orchestrator planner), executor dispatch, a time-budget quota loop, aggregation, and report generation.
pentest-scope
Define or update engagement scope — saves scope to disk without launching a pentest. Can be run before or during an engagement. If a pentest is active and the target changes drastically, warns the operator and suggests a new engagement.
pentest-attacks
Define the attack profile for an engagement — select which attack categories and skills to use. Saves to .pentest-attacks.json. If run before /pentest:pentest, the orchestrator will respect the selection. If run standalone, does not launch a pentest.
pentest-kali
Connect to a Metasploit-Kali Server (MKS) REST API — verifies connectivity, discovers available Kali tools, and configures agents to prefer MKS endpoints over local Bash equivalents.
pentest-exit
Close pentest session — summarizes findings, ensures outputs are saved, lifts isolation, and prompts for /clear.
bb-ad
Active Directory enumeration and attack techniques. Includes LDAP enumeration, Kerberos attacks (Kerberoasting, AS-REP Roasting), SMB attacks, and domain privilege escalation. Use this when targeting Windows domain environments.