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.
npx agentmods add commands/mrboups/xbrain/plan-review-convergencegit clone --depth 1 https://github.com/mrboups/xbrainWrote 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/mrboups/xbrain/plan-review-convergence)<a href="https://agentmods.dev/commands/mrboups/xbrain/plan-review-convergence"><img src="https://agentmods.dev/badge/commands/mrboups/xbrain/plan-review-convergence.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 | $0.00026 | $0.00838 |
| Opus 5 | $0.00013 | $0.00419 |
| Sonnet 5 | $0.00005 | $0.00168 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
gsd:plan-review-convergence 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 2d 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.
This is a copy
89% identical to gsd:plan-review-convergence — 11 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.
What it actually says
Flow: Agent→Skill("gsd-plan-phase") → Agent→Skill("gsd-review") → check HIGHs → Agent→Skill("gsd-plan-phase --reviews") → Agent→Skill("gsd-review") → ... → Converge or escalate
Replaces gsd-plan-phase's internal gsd-plan-checker with external AI reviewers (codex, gemini, etc.). Each step runs inside an isolated Agent that calls the corresponding existing Skill — orchestrator only does loop control.
Orchestrator role: Parse arguments, validate phase, spawn Agents for existing Skills, check HIGHs, stall detection, escalation gate.
<execution_context> @D:/VSC/xbrain/.claude/get-shit-done/workflows/plan-review-convergence.md @D:/VSC/xbrain/.claude/get-shit-done/references/revision-loop.md @D:/VSC/xbrain/.claude/get-shit-done/references/gates.md @D:/VSC/xbrain/.claude/get-shit-done/references/agent-contracts.md </execution_context>
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API. Do not skip questioning steps because AskUserQuestion appears unavailable; use vscode_askquestions instead.
</runtime_note>
Flags:
--codex— Use Codex CLI as reviewer (default if no reviewer specified)--gemini— Use Gemini CLI as reviewer--claude— Use Claude CLI as reviewer (separate session)--opencode— Use OpenCode as reviewer--ollama— Use local Ollama server as reviewer (OpenAI-compatible, default hosthttp://localhost:11434; configure model viareview.models.ollama)--lm-studio— Use local LM Studio server as reviewer (OpenAI-compatible, default hosthttp://localhost:1234; configure model viareview.models.lm_studio)--llama-cpp— Use local llama.cpp server as reviewer (OpenAI-compatible, default hosthttp://localhost:8080; configure model viareview.models.llama_cpp)--all— Use all available CLIs and running local model servers--max-cycles N— Maximum replan→review cycles (default: 3)
Feature gate: This command requires workflow.plan_review_convergence=true. Enable with:
gsd config-set workflow.plan_review_convergence true
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.
- 2d ago First seen · 59 lines · 26 tokens per session scan A ca438fd1da43
gsd:plan-review-convergence is a command published in the GitHub repository mrboups/xbrain (2 stars, last pushed 21d ago), licensed MIT. It adds 26 tokens to every session and 838 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gsd:plan-review-convergence, differing in 11 lines, and is treated as a copy.
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