Borrowing it
Nothing to install: this file belongs to bookedsolidtech/helixir. 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/bookedsolidtech/helixir/main/.claude/commands/review.mdgit clone --depth 1 https://github.com/bookedsolidtech/helixirWrote 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/bookedsolidtech/helixir/review)<a href="https://agentmods.dev/commands/bookedsolidtech/helixir/review"><img src="https://agentmods.dev/badge/commands/bookedsolidtech/helixir/review/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/bookedsolidtech/helixir/review"><img src="https://agentmods.dev/badge/commands/bookedsolidtech/helixir/review.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 | $0.00016 | $0.00695 |
| Opus 5.5 | $0.00006 | $0.00278 |
| Sonnet 5.5 | $0.00003 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
review 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 2mo 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/review — Code Review on Current Changes
Invokes the code-reviewer agent on the uncommitted and/or branched changes in the current working tree. Use this as a first-pass quality gate before you open a PR.
Arguments
$ARGUMENTS(optional) — diff target. Defaults tomain. Examples:/review→ diff againstmain/review staging→ diff againststaging/review HEAD~3→ diff against three commits back/review --staged→ only staged changes
Preflight
- Read
.rea/policy.yaml— confirm autonomy is at least L1 (review is read-only, so L0 also permitted) - Check
.rea/HALT— if present, stop and report FROZEN - Verify you are inside a git repo:
git rev-parse --show-toplevel
Step 1 — Gather the diff
Resolve the diff target:
- If
$ARGUMENTSis empty → usemain - If
$ARGUMENTSstarts with--staged→ usegit diff --staged - Otherwise → use
git diff $ARGUMENTS...HEAD
Run in parallel:
git diff <target>...HEAD
git log <target>..HEAD --oneline
git status --short
If the diff is empty, stop and report: "No changes to review against <target>."
Step 2 — Delegate to code-reviewer
Invoke the code-reviewer agent with:
- Tier:
standard(default). For diffs over 500 lines or cross-module changes, escalate tosenior. - Context: the full diff, the commit log, and the current branch name
- Project config: pass paths to
package.json,tsconfig.json, and.rea/policy.yamlso the reviewer can adapt to the project's standards
Prompt shape for the delegation:
Review the following git diff at tier
<standard|senior>. Produce structured findings: each finding has file, line, severity (high/medium/low), issue, and suggestion_code when applicable. Output JSON array. Empty array if no findings. Diff follows.
Step 3 — Summarize
Print a clean summary:
/review — <branch> vs <target>
Files changed: <N>
Findings: <total> (<high> high, <medium> medium, <low> low)
<grouped findings by severity, most severe first>
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.
- 2mo ago First seen · 81 lines · 16 tokens per session scan A 97b00281a3b6
review is a command published in the GitHub repository bookedsolidtech/helixir (5 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 695 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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skill-registry
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Adversarial multi-angle critique. All three auditors fire in parallel (codex=technical, gemini=strategic, claude=ux). Counter-args ranked by rebuttal survival score, not raw severity. Usage: /cross-critique [--with | list | compare].
assemble-team
Assemble a pre-built agent team for parallel work - review, feature, debug, cross-platform, full-stack, or research.
pr-feedback-ingest
Turn PR feedback (Greptile, CI, bots, humans) into a traceable backlog, so the next step is a narrow implement-approved-slice. Corrective scope only. Use when a PR has review feedback to map to files and slices. Do not use for a new direction or contract (use post-review-pivot), no payload, or task-memory drift only…
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Review the current task changes for correctness, safety, and maintainability risks before slice closure or PR prep, and recommend the smallest safe next step. Use when a slice or task-level implementation was completed, the user wants a focused engineering risk review before closure or PR prep, or meaningful issues…