gsd-plan-review-convergence

gsd-plan-review-convergence is a skill for Claude Code from open-gsd/gsd-core. It costs 21 tokens per session (1,025 once invoked), scanned A, original, MIT.

A workflow that repeatedly revises a project plan until reviews from other AI systems no longer find unresolved concerns.

In plain words
What is it for?
Use it to create a phase plan, send it through cross-AI review, revise it when needed, and continue until the review concerns converge or require escalation.
Why use it?
It provides a structured way to address review feedback before implementation begins.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool; mentions Codex.

Part of the gsd-core plugin — 72 skills, 35 agents, 7 hooks shipped together

Good fit Use it to create a phase plan, send it through cross-AI review, revise it when needed, and continue until the review concerns converge or require escalation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/open-gsd/gsd-core/gsd-plan-review-convergence
About the project

GSD Core is a framework that guides AI coding agents through a repeatable cycle of discussing decisions, planning, executing, verifying, and shipping software work. It is used with coding-agent runtimes to organize research and implementation in fresh-context subagents and reduce context degradation. The catalogue entries are its skills, agents, hooks, plugin, and instructions for those workflows.

open-gsd/gsd-core · 9,319 stars · on GitHub · opengsd.net

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.

Any agent
npx skills add open-gsd/gsd-core --skill gsd-plan-review-convergence
Clone the repo
git clone --depth 1 https://github.com/open-gsd/gsd-core

Made for: Claude Code.

Or install gsd-core, the plugin that ships this one along with the rest of its 72 skills, 35 agents, 7 hooks.

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 gsd-plan-review-convergence

README.md
[![agentmods](https://agentmods.dev/badge/skills/open-gsd/gsd-core/gsd-plan-review-convergence/github.svg)](https://agentmods.dev/skills/open-gsd/gsd-core/gsd-plan-review-convergence)
Your own site
<a href="https://agentmods.dev/skills/open-gsd/gsd-core/gsd-plan-review-convergence"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-core/gsd-plan-review-convergence/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.

agentmods 80×15 button for gsd-plan-review-convergence

Your own site · 80×15
<a href="https://agentmods.dev/skills/open-gsd/gsd-core/gsd-plan-review-convergence"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-core/gsd-plan-review-convergence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,025 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00021 $0.01025
Opus 5 $0.00010 $0.00513
Sonnet 5 $0.00004 $0.00205
Haiku 4.5 $0.00002 $0.00103

Measured 7d ago against content hash 7797fb9efc7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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 7d 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.

skills/gsd-plan-review-convergence/SKILL.md · 66 lines

What it actually says

Flow: Skill("gsd-plan-phase") → Agent→Skill("gsd-review") → check unresolved HIGH + actionable non-HIGH → 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.). Plan-phase runs inline (bare Skill at depth 0) so it can spawn gsd-planner/gsd-plan-checker at depth 1. Review runs inside an isolated Agent (gsd-review is a Bash leaf — no sub-agents needed). Orchestrator only does loop control.

Orchestrator role: Parse arguments, validate phase, run plan-phase inline (Skill at depth 0), spawn an Agent for gsd-review, check unresolved HIGH and actionable non-HIGH counts, stall detection, escalation gate.

<execution_context> @$HOME/.claude/gsd-core/workflows/plan-review-convergence.md @$HOME/.claude/gsd-core/references/revision-loop.md @$HOME/.claude/gsd-core/references/gates.md @$HOME/.claude/gsd-core/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 flag given AND review.default_reviewers is unset; otherwise review.default_reviewers wins per ADR-0011 — #2315)
  • --gemini — Use Gemini CLI as reviewer
  • --agy / --antigravity — Use Antigravity CLI as reviewer (successor to the discontinued Gemini CLI)
  • --claude — Use Claude CLI as reviewer (separate session)
  • --coderabbit — Use CodeRabbit as reviewer (reviews the working-tree diff, not the source tree)
  • --opencode — Use OpenCode as reviewer
  • --qwen — Use Qwen Code CLI as reviewer (Alibaba Qwen models)
  • --cursor — Use Cursor agent as reviewer
  • --ollama — Use local Ollama server as reviewer (OpenAI-compatible, default host http://localhost:11434; configure model via review.models.ollama)
  • --lm-studio — Use local LM Studio server as reviewer (OpenAI-compatible, default host http://localhost:1234; configure model via review.models.lm_studio)
  • --llama-cpp — Use local llama.cpp server as reviewer (OpenAI-compatible, default host http://localhost:8080; configure model via review.models.llama_cpp)
  • --kimi-code — Use Kimi Code CLI as reviewer (Moonshot AI)
  • --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

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. 7d ago First seen · 66 lines · 21 tokens per session scan A 7797fb9efc7b

Subscribe to this mod's changes

gsd-plan-review-convergence is a skill published in the GitHub repository open-gsd/gsd-core (9,319 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,025 once invoked, about $0.0001 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 2026-09-03.

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