Borrowing it
Nothing to install: this file belongs to xi-kari/crossframe-skill. 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/xi-kari/crossframe-skill/main/.claude/commands/crossframe-review.mdgit clone --depth 1 https://github.com/xi-kari/crossframe-skillWrote 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/xi-kari/crossframe-skill/crossframe-review)<a href="https://agentmods.dev/commands/xi-kari/crossframe-skill/crossframe-review"><img src="https://agentmods.dev/badge/commands/xi-kari/crossframe-skill/crossframe-review.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 | $0.00000 | $0.00071 |
| Opus 5 | $0.00000 | $0.00036 |
| Sonnet 5 | $0.00000 | $0.00014 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
crossframe-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 6d 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.
What it actually says
/crossframe-review
Use CrossFrame Review to audit a CrossFrame-style output.
Read skills/crossframe-review/SKILL.md, then follow its routed instructions. Output review object, fact boundary, triggered rules, grade, key failures, evidence locations, repair steps, and pass/fail.
User input:
$ARGUMENTS
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.
- 6d ago First seen · 10 lines · 0 tokens per session scan A b27001746ead
crossframe-review is a command published in the GitHub repository xi-kari/crossframe-skill (18 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 71 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 2026-08-30.
Other commands, from other repositories
adr-review
Run the workflow in docs/playbooks/adr-review.md. You review only — never write or rewrite the ADR for me. Check problem framing, option fairness, trade-offs and consequences, reversibility, the revisit trigger, and weak reasoning. Give pointed questions and concrete suggestions; I write the words. If it supersedes an…
refactor-clean
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
gentle-sdd-ff
Fast-forward all SDD planning phases — proposal through tasks.
sdd-explore
Explore and investigate an idea or feature — reads codebase and compares approaches.
sdd-init
Initialize SDD context — detects project stack and bootstraps persistence backend.
parallel-analyze
Multi-perspective analysis using parallel subagents. Analyzes code from architecture, security, performance, and testing viewpoints simultaneously.