Borrowing it
Nothing to install: this file belongs to jstxn/rein. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jstxn/rein/main/.claude/commands/rein-go.mdgit clone --depth 1 https://github.com/jstxn/reinWrote 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/jstxn/rein/rein-go)<a href="https://agentmods.dev/commands/jstxn/rein/rein-go"><img src="https://agentmods.dev/badge/commands/jstxn/rein/rein-go/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/jstxn/rein/rein-go"><img src="https://agentmods.dev/badge/commands/jstxn/rein/rein-go.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 | $0.00023 | $0.01128 |
| Opus 5 | $0.00012 | $0.00564 |
| Sonnet 5 | $0.00005 | $0.00226 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade A, and why
rein-go 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rein-go
Use this when the user wants one REIN-controlled flow instead of manually invoking rein-interview, rein-plan, implementation, cleanup, review, and verification as separate steps.
rein-go is the end-to-end orchestration surface for REIN.
When To Use
- The user wants one continuous REIN workflow with minimal pauses
- The task is broad enough to need clarification, planning, implementation, and post-implementation review
- A completed
rein-interviewbundle already exists and should feed directly into planning and implementation - The user explicitly invokes
$rein-go,/rein-go, or asks for a single flow command
When Not To Use
- The task is already a tiny single-file change
- The user explicitly wants only one stage, such as interview-only or plan-only work
- The user wants to skip clarification and planning entirely
Flow Contract
- Public entrypoint:
rein go - Wrapper triggers:
$rein-goand/rein-go - Default posture: keep going with minimal pauses once the flow starts
- Hard stop on:
- dangerous or destructive actions that require approval
- missing permissions or blocked tool access
- any failed stage: plan, implementation, cleanup, review, or verify
- Preserve the current install and hook philosophy; do not turn REIN into a hook-first enforcement layer
Runtime Helper
Start the flow through the runtime:
rein go "<task>" --json
If a completed interview bundle already exists:
rein go --from-interview <slug|path> --json
Then use:
rein go status --slug <slug> --json
rein go resume --slug <slug> --json
rein go advance --slug <slug> --stage <stage> --status <completed|failed|blocked> ... --json
Treat the returned flow state as the source of truth for current stage, resume point, stop reason, and downstream stage artifacts.
Stage Order
- Interview
- Bare
rein go "<task>"initializes the flow and startsrein-interviewautomatically. - If the flow was started with
--from-interview, the interview stage is marked completed from the bundle. - While interview is still active, use the normal
rein interview ...runtime commands and present the user-facing interview exactly likerein-interviewdoes, including the clarity score and question frame. - Never answer interview rounds on the user's behalf, never auto-crystallize, and never skip directly to planning in fresh mode.
- If
rein go resume --slug <slug> --jsonstill returnscurrentStage: interviewand recommendsrein interview crystallize ..., the interview is not done yet; crystallize first, then resume again to advance into planning.
- Bare
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.
- 10d ago First seen · 122 lines · 23 tokens per session scan A 36a5bd74801f
rein-go is a command published in the GitHub repository jstxn/rein (12 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 1,128 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.