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 closedloop-ai/claude-plugins/plugin install codeWrote 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/closedloop-ai/claude-plugins/create-plan)<a href="https://agentmods.dev/commands/closedloop-ai/claude-plugins/create-plan"><img src="https://agentmods.dev/badge/commands/closedloop-ai/claude-plugins/create-plan/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/closedloop-ai/claude-plugins/create-plan"><img src="https://agentmods.dev/badge/commands/closedloop-ai/claude-plugins/create-plan.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 | $0.00000 | $0.00291 |
| Opus 5.5 | $0.00000 | $0.00116 |
| Sonnet 5.5 | $0.00000 | $0.00058 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
create-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Bootstrap ClosedLoop (Planning Only)
!bash "${CLAUDE_PLUGIN_ROOT}/scripts/setup-closedloop.sh" $ARGUMENTS --prompt plan-prompt
Follow the orchestrator instructions in the prompt file specified by CLOSEDLOOP_PROMPT_FILE in the config output above. This is a single-shot planning run. Your previous work (if any) is visible in files and git history.
IMPORTANT: You are an ORCHESTRATOR running PLAN ONLY (phases 0.9–2.8). After reading the prompt file, your FIRST action must be TodoWrite. Do NOT read project files (PRD, plan.json, code, etc.). Delegate all project file reading to subagents.
After Phase 2.8 completes, write state.json with status: COMPLETED, output <promise>PLAN_COMPLETE</promise>, and stop. Do NOT proceed to implementation phases (3–7).
CRITICAL RULE: Only output <promise>PLAN_COMPLETE</promise> when the plan is genuinely finalized (plan.json + plan.md ready and validated). Do not output false promises to end early.
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.
- yesterday Changed b78f5cfdbeaa
- 1mo ago First seen · 18 lines · 0 tokens per session scan A 647f0c722948
create-plan is a command published in the GitHub repository closedloop-ai/claude-plugins (122 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 291 tokens. 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 2026-09-07.
Other commands, from other repositories
agentlas-local
Staff a task only from Agentlas agents registered on this machine.
spreadsheet-audit
Perform a 6-step audit of an Excel spreadsheet for formula correctness, formatting consistency, data integrity, boss-auditable simplicity, and spec compliance. Uses the excel-screenshot MCP server tools — no Excel installation required.
custom-brief
Deep-research a specific topic and produce a comprehensive news-focused briefing with optional Notion/Obsidian/Teams/Slack publishing.
cwb-relax
A command that searches for relaxing music in three styles: downtempo, acoustic folk, and nature ambience.
growth-email
Create transactional and marketing email templates.
unity-fix
Diagnoses and fixes a Unity bug — reads console errors, checks common causes, applies targeted fix, verifies via MCP.