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.
npx agentmods add skills/blackbelttechnology/pi-agent-dashboard/code-reviewnpx skills add BlackBeltTechnology/pi-agent-dashboard --skill code-reviewgit clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboardWrote 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/skills/blackbelttechnology/pi-agent-dashboard/code-review)<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/code-review"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/code-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 | $0.00061 | $0.01607 |
| Opus 5 | $0.00030 | $0.00804 |
| Sonnet 5 | $0.00012 | $0.00321 |
| Haiku 4.5 | $0.00006 | $0.00161 |
Grade A, and why
code-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.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodeRabbit Code Review
AI-powered code review using the CodeRabbit CLI. Two modes:
- On-demand review — user asks "review my code"; you run, group findings, report.
- Development inner loop — after writing code, review uncommitted changes, fix Critical/Warning, re-review before committing. This is how you keep changes clean as part of normal development, not just at PR time.
CodeRabbit CLI is cloud-backed — no local model. It sends diffs to the CodeRabbit API. Usage is rate-limited per plan, not by local hardware. If a review fails with a rate/usage limit, see Usage Limits.
Capabilities
- Finds bugs, security issues, and quality risks in changed code
- Groups findings by severity (Critical, Warning, Info)
- Works on uncommitted, committed, or all changes; supports base branch/commit and directory scoping
--agentemits structured JSON for agent-readable parsing and fix guidance
When to Use
- Review code changes / review my code / what's wrong with my changes
- Check code quality / find bugs or security issues
- Get PR feedback / pull request review
- Run coderabbit / use coderabbit
- Autonomously: after implementing a non-trivial change and before committing, run the inner loop (see below).
How to Review
1. Check Prerequisites
coderabbit --version 2>/dev/null || echo "NOT_INSTALLED"
coderabbit auth status 2>&1
The --agent flag requires CodeRabbit CLI v0.4.0+ (this repo verified on v0.5.2). If older, ask the user to upgrade (coderabbit update).
If not installed, tell the user to install from the official source (https://www.coderabbit.ai/cli), preferring a package manager; verify checksum/signature for direct binaries. Never pipe remote scripts to a shell.
If not authenticated: coderabbit auth login.
2. Pick Scope (Diff Scoping)
Match the scope to the moment. Real v0.5.2 flags only:
| Moment | Command |
|---|---|
| Dev inner loop (fast, pre-commit) | coderabbit review --agent -t uncommitted |
| Pre-push / CI gate | coderabbit review --agent -t committed --base main |
| Full review (default, all changes) | coderabbit review --agent |
| Against a commit | coderabbit review --agent --base-commit <hash> |
| Scoped to a subdir (must be a git repo) | coderabbit review --agent --dir path/to/dir |
| Extra repo conventions/constraints | coderabbit review --agent -c AGENTS.md -c coderabbit.yaml |
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 · 137 lines · 61 tokens per session scan A 72b2ed407006
code-review is a skill published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (273 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 1,607 once invoked, about $0.0003 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 skills, from other repositories
goga-cookbook
Principles for applying DSL specification in cell and CODEMANIFEST design.
goga-plan-by-design
Compile a design document into a ralphex execution plan.
goga-define-experience
Define the user experience required to achieve the established product goals and solve the identified problem.
goga-review-plan
Verify execution plan completeness and correctness.
goga-accept-manifest-review
Verify each Cell's CODEMANIFEST against the implementation.
goga-brainstorm
Pipeline orchestrator for brainstorming the cells architecture.