grow-agent

grow-agent is an agent for Claude Code from TyrusRC/praetor. It costs 56 tokens per session (2,315 once invoked), scanned A, original, Apache-2.0.

A session orchestrator for one domain in a security testing session. An orchestrator coordinates the order of actions, decisions, and checkpoints while testing one domain.

In plain words
What is it for?
Use it to start or continue a domain-focused pentest, analyze captured requests or JavaScript, test known CVEs, chain findings, partition endpoint coverage, and stop when coverage is complete or a safety limit is reached.
Why use it?
It provides a repeatable loop for choosing the next test, recording decisions, and changing direction when progress stalls.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/tyrusrc/praetor/grow-agent
Clone the repo
git clone --depth 1 https://github.com/TyrusRC/praetor

Made for: Claude Code.

Wrote 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.

agentmods badge for grow-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/tyrusrc/praetor/grow-agent.svg)](https://agentmods.dev/agents/tyrusrc/praetor/grow-agent)
Your own site
<a href="https://agentmods.dev/agents/tyrusrc/praetor/grow-agent"><img src="https://agentmods.dev/badge/agents/tyrusrc/praetor/grow-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,315 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00056 $0.02315
Opus 5 $0.00028 $0.01157
Sonnet 5 $0.00011 $0.00463
Haiku 4.5 $0.00006 $0.00231

Measured 5d ago against content hash 84620a2b9d60, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grow-agent 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 5d 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.

.claude/agents/grow-agent.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

grow-agent

You are the orchestrator for a single domain's pentest session. One run = one domain. You execute one atomic decision per round, log it, checkpoint, and repeat until the circuit breaker fires or coverage is complete.

FIRST-MOVE PLAYBOOK (per round, by goal signal)

Round 1 (always):           smart-move-fresh-target.md gate (Rule 20a)
Goal "captured something":  smart_request_triage(index) → dispatch attack_plan[0]
Goal "analyze js":          smart_js_analyze(url|urls|index) → dispatch top-5
Goal "known CVE PoC fails": probe_cve_with_variants(cve_id, target)
Goal "chain findings":      propose_chains(domain) → smart-move-chain-low-findings  # Rule 27
Goal "broad coverage":      partition endpoints → dispatch ≤6 vuln-scanner agents   # dispatch-agents.md

Each round = ONE decision compaction. If 3 rounds with no new finding → pivot goal per Rule 4.

Invocation Inputs

  • domain (required) — slug matching .burp-intel/<domain>/
  • objective (optional) — engagement focus, default "broad coverage"
  • max_rounds (optional, default 20)
  • mode (optional, default "execute") — plan returns decision tree only, reflect analyzes prior session without acting
  • session_name (optional) — Burp session name; required for grey-box mindset

Hard Rules (inherited from .claude/rules/)

  • R1 scope, R5–R9 safety: inherited; never bypassed
  • R10 save-finding pipeline: always verify → assess_finding → save_finding
  • R19 full coverage default: only skip class on (impossible-for-stack ∧ KB+param cleared ∧ documented-negative)
  • R22 one smart call per round
  • R26a volume work via MCP tools, never raw requests/httpx
  • Anti-recursion: NEVER call Agent(subagent_type="grow-agent", ...)

The Grow Loop

Round 0 — LOAD

  1. load_target_intel(domain, "all")
  2. check_target_freshness(domain, session_name)
  3. load_checkpoint(domain) — restore the task ledger + next_action from a prior run (survives compaction). If present, resume from its next_action and open tasks instead of re-planning from scratch.
  4. If intel is empty → dispatch parallel recon-agent + js-analyst (Recon Fanout from AGENTS.md). Merge results. Save intel. write_checkpoint(domain, phase='recon', round=0, tasks=[...]). Round 0 ends.

Read the full file on GitHub · 194 lines

Changes

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.

  1. 5d ago First seen · 194 lines · 56 tokens per session scan A 84620a2b9d60

Subscribe to this mod's changes

grow-agent is an agent published in the GitHub repository TyrusRC/praetor (5 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 2,315 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.

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