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 skills add blockmatic/basilic --skill coderabbitgit clone --depth 1 https://github.com/blockmatic/basilicWrote 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/blockmatic/basilic/coderabbit)<a href="https://agentmods.dev/skills/blockmatic/basilic/coderabbit"><img src="https://agentmods.dev/badge/skills/blockmatic/basilic/coderabbit.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00256 |
| Opus 5 | $0.00014 | $0.00128 |
| Sonnet 5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
coderabbit 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 yesterday.
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
Purpose and inputs
Fetch CodeRabbit comments for the current PR or uncommitted diff. Apply high-confidence fixes. Do not commit; use git-commit only when the user asked to publish.
Steps
- Identify the branch and PR with
gh. If there is no PR, review the current task diff. - Fetch CodeRabbit comments via the available CodeRabbit MCP. Group by file and severity.
- Fix root causes starting with critical/high. Follow repository rules. Run the repo lint/type/test commands that match the change.
- Leave style-only or unclear items as a list. Do not invent security or quality bars.
Verification
- Fixes address named comments with file evidence.
- Affected checks were run.
- No commit was created unless the user asked for
/git-commit.
Handoff
Summarize applied fixes, skipped items, and remaining comments. Point at /git-commit if the user wants to publish.
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.
- yesterday Changed · +11 lines · -5 tokens per session c79fc86565d6
- 4d ago First seen · 16 lines · 33 tokens per session scan A 4b7ca4fad62b
coderabbit is a skill published in the GitHub repository blockmatic/basilic (89 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 256 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 2026-09-03.
Other skills, from other repositories
review-implement-phase
Implements triaged review actions, commits focused fixes, and posts Done plus resolves threads. Use when the user wants only the implementation phase of the review-framework workflow.
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.
review-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
github-contributor
End-to-end playbook for shipping high-quality pull requests to open-source projects you don't maintain — discovery, CONTRIBUTING compliance, PR-size check, minimal-diff implementation, PR description with AI-assisted disclosure, conflict resolution, and post-submission maintainer interaction. Use whenever creating…