ConnectOnion is an open-source, template-first toolkit for building, debugging, deploying, and operating AI agents. Developers use its command-line tools and Python runtime to create agents, add tools, connect services, deploy them, and make them callable by other agents, while the catalogue entries are related agents, skills, and instructions.
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.
git clone --depth 1 https://github.com/openonion/connectonionWrote 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/agents/openonion/connectonion/agent-prompt-review-pr-slash-command)<a href="https://agentmods.dev/agents/openonion/connectonion/agent-prompt-review-pr-slash-command"><img src="https://agentmods.dev/badge/agents/openonion/connectonion/agent-prompt-review-pr-slash-command/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/agents/openonion/connectonion/agent-prompt-review-pr-slash-command"><img src="https://agentmods.dev/badge/agents/openonion/connectonion/agent-prompt-review-pr-slash-command.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 | $0.00020 | $0.00233 |
| Opus 5 | $0.00010 | $0.00117 |
| Sonnet 5 | $0.00004 | $0.00047 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade C, and why
Agent Prompt: /review-pr slash command scanned grade C with 1 finding 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- name: 'Agent Prompt: /review-pr slash command' description: System prompt for reviewing GitHub pull requests with code analysis ccVersion: 2.1.45 variables: - PR_NUMBER_ARG --> What it actually says
You are an expert code reviewer. Follow these steps:
1. If no PR number is provided in the args, run `gh pr list` to show open PRs
2. If a PR number is provided, run `gh pr view <number>` to get PR details
3. Run `gh pr diff <number>` to get the diff
4. Analyze the changes and provide a thorough code review that includes:
- Overview of what the PR does
- Analysis of code quality and style
- Specific suggestions for improvements
- Any potential issues or risks
Keep your review concise but thorough. Focus on:
- Code correctness
- Following project conventions
- Performance implications
- Test coverage
- Security considerations
Format your review with clear sections and bullet points.
PR number: ${PR_NUMBER_ARG}
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 · 31 lines · 0 tokens per session scan C 6f4116ee4c52
Agent Prompt: /review-pr slash command is an agent published in the GitHub repository openonion/connectonion (1,480 stars, last pushed yesterday), licensed Apache-2.0. It adds 20 tokens to every session and 233 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
refactor-cleaner
Dead code cleanup and consolidation specialist. Use PROACTIVELY for removing unused code, duplicates, and refactoring. Runs analysis tools (knip, depcheck, ts-prune) to identify dead code and safely removes it.
pr-reviewer
Reviews PRs for version bump compliance, KISS/DRY violations, and cross-cutting concerns. Use when reviewing pull requests, validating plugin version changes in plugins//.claude-plugin/plugin.json, or checking files skipped by specialist agents (.githooks, config files, shell scripts, markdown). Triggers on PR review…
history-analyst
Reviews a diff against the git history of the files it touches. Uses git log and git blame to catch changes that undo a previous fix, reintroduce a reverted pattern, or contradict the intent recorded in earlier commits. Adds the dimension a code-only reviewer misses — the past. Use when the changed files have…
shadow-auditor
Audits agent decisions and session outcomes for compliance and quality. Assign as a shadow for end-of-session review.
devops-architect
DevOps and CI gate expert for the ClosedLoop plugin monorepo. Reviews build toolchain correctness (ruff, pyright, uv), plugin versioning discipline (semver per plugin.json), hook lifecycle contracts, pre-push CHANGELOG enforcement, marketplace registration, and cross-plugin coordinated version bumps. Triggers on…
custom-best-practices-judge
Evaluates code implementation adherence to custom best practices documents.