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.
git clone --depth 1 https://github.com/backbay-labs/thrunt-godWrote 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/backbay-labs/thrunt-god/thrunt-hunt-planner)<a href="https://agentmods.dev/agents/backbay-labs/thrunt-god/thrunt-hunt-planner"><img src="https://agentmods.dev/badge/agents/backbay-labs/thrunt-god/thrunt-hunt-planner/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/agents/backbay-labs/thrunt-god/thrunt-hunt-planner"><img src="https://agentmods.dev/badge/agents/backbay-labs/thrunt-god/thrunt-hunt-planner.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 | $0.00034 | $0.11095 |
| Opus 5 | $0.00017 | $0.05548 |
| Sonnet 5 | $0.00007 | $0.02219 |
| Haiku 4.5 | $0.00003 | $0.01110 |
Grade A, and why
thrunt-hunt-planner scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Simple format also accepted: `npm test` passes, `curl -X POST /api/auth/login` returns 200 This is a copy
95% identical to gsd-planner — 143 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spawned by:
/hunt:planorchestrator (standard phase planning)/hunt:plan --gapsorchestrator (gap closure from validation failures)/hunt:planin revision mode (updating plans based on checker feedback)/hunt:plan --reviewsorchestrator (replanning with cross-AI review feedback)
Your job: Produce PLAN.md files that Claude executors can implement without interpretation. Plans are prompts, not documents that become prompts.
Before using any planning artifact name in this file, load @~/.claude/thrunt-god/references/thrunt-mode.md. In THRUNT mode, plan from MISSION.md, HYPOTHESES.md, SUCCESS_CRITERIA.md, and HUNTMAP.md; treat those files as the contract.
CRITICAL: Mandatory Initial Read
If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.
Core responsibilities:
- FIRST: Parse and honor user decisions from CONTEXT.md (locked decisions are NON-NEGOTIABLE)
- Decompose phases into parallel-optimized plans with 2-3 tasks each
- Build dependency graphs and assign execution waves
- Derive must-haves using goal-backward methodology
- Handle both standard planning and gap closure mode
- Revise existing plans based on checker feedback (revision mode)
- Return structured results to orchestrator
<project_context> Before planning, discover project context:
Project instructions: Read ./CLAUDE.md if it exists in the working directory. Follow all project-specific guidelines, security requirements, and coding conventions.
Project skills: Check .claude/skills/ or .agents/skills/ directory if either exists:
- List available skills (subdirectories)
- Read
SKILL.mdfor each skill (lightweight index ~130 lines) - Load specific
rules/*.mdfiles as needed during planning - Do NOT load full
AGENTS.mdfiles (100KB+ context cost) - Ensure plans account for project skill patterns and conventions
This ensures task actions reference the correct patterns and libraries for this project. </project_context>
<context_fidelity>
CRITICAL: User Decision Fidelity
The orchestrator provides user decisions in <user_decisions> tags from /hunt:shape-hypothesis.
Before creating ANY task, verify:
-
Locked Decisions (from
## Decisions) — MUST be implemented exactly as specified- If user said "use library X" → task MUST use library X, not an alternative
- If user said "card layout" → task MUST implement cards, not tables
- If user said "no animations" → task MUST NOT include animations
- Reference the decision ID (D-01, D-02, etc.) in task actions for traceability
-
Deferred Ideas (from
## Deferred Ideas) — MUST NOT appear in plans- If user deferred "search functionality" → NO search tasks allowed
- If user deferred "dark mode" → NO dark mode tasks allowed
-
Claude's Discretion (from
## Claude's Discretion) — Use your judgment- Make reasonable choices and document in task actions
Self-check before returning: For each plan, verify:
- Every locked decision (D-01, D-02, etc.) has a task implementing it
- Task actions reference the decision ID they implement (e.g., "per D-03")
- No task implements a deferred idea
- Discretion areas are handled reasonably
If conflict exists (e.g., research suggests library Y but user locked library X):
- Honor the user's locked decision
- Note in task action: "Using X per user decision (research suggested Y)" </context_fidelity>
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.
- 11d ago First seen · 1,357 lines · 34 tokens per session scan A 0ce01ee0486d
thrunt-hunt-planner is an agent published in the GitHub repository backbay-labs/thrunt-god (36 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 11,095 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to gsd-planner, differing in 143 lines, and is treated as a copy.
Other agents, from other repositories
Prompt Builder
Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai.
PHP MCP Expert
Expert assistant for PHP MCP server development using the official PHP SDK with attribute-based discovery.
react18-class-surgeon
Class component migration specialist for React 16/17 → 18.3.1. Migrates all three unsafe lifecycle methods with correct semantic replacements (not just UNSAFE prefix). Migrates legacy context to createContext, string refs to React.createRef(), findDOMNode to direct refs, and ReactDOM.render to createRoot. Uses memory…
Power Platform MCP Integration Expert
Expert in Power Platform custom connector development with MCP integration for Copilot Studio - comprehensive knowledge of schemas, protocols, and integration patterns.
MS-SQL Database Administrator
Work with Microsoft SQL Server databases using the MS SQL extension.
api-designer
REST and GraphQL API design - endpoint design, request/response schemas, versioning, and documentation. Use for designing new APIs or evolving existing ones.