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 Arvo-AI/aurora --skill githubgit clone --depth 1 https://github.com/Arvo-AI/auroraWrote 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/arvo-ai/aurora/github)<a href="https://agentmods.dev/skills/arvo-ai/aurora/github"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/github/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/skills/arvo-ai/aurora/github"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/github.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00024 | $0.01518 |
| Opus 5.5 | $0.00010 | $0.00607 |
| Sonnet 5.5 | $0.00005 | $0.00304 |
| Haiku 4.5 | $0.00002 | $0.00152 |
Grade A, and why
github 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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Integration
Overview
GitHub integration for investigating code changes during Root Cause Analysis and managing code fixes. Connected account: {username}
Instructions
Multi-Repo Discovery
- Multiple repositories may be connected. Call
get_connected_reposFIRST to list them with descriptions. - Each repo has an LLM-generated summary describing what it contains — use these to pick the right repo for your task.
- If only one repo is connected,
github_rcaauto-selects it. If multiple, you MUST passrepo='owner/repo'.
Tool Usage (use in this order)
get_connected_repos— Discover available repos + descriptions. Always call first.github_rca(repo='owner/repo', action=...)— Investigate code changes for RCA:deployment_check— GitHub Actions workflow runs (failures, suspicious timing)commits— Recent commits with automatic 2-hour incident correlationdiff(requirescommit_sha) — File-level changes for a specific commitpull_requests— Merged PRs in the time window- Pass
incident_time(ISO 8601) for automatic time window correlation
github_fix(file_path=..., edits=[{old_string, new_string, replace_all?}, ...], fix_description=..., root_cause_summary=...)— Suggest a code fix via anchored search-and-replace edits (stored for user review, not auto-applied). First callget_file_contentsto read the current file so you can copy the exactold_string(with enough surrounding context to be unique).github_apply_fix(suggestion_id=...)— Create a PR from an approved fix (only after user reviews)github_commit(repo=..., commit_message=...)— Push generated Terraform (.tf) files from the IaC workflow to GitHub. This is NOT a general-purpose commit tool — it only pushes .tf files from the terraform working directory.
MCP Tools (for direct GitHub API operations beyond RCA)
- Files:
get_file_contents,create_or_update_file,push_files,get_repository_tree - Size limit:
create_or_update_fileandpush_filesenforce a 50 KB per-file cap. Files exceeding this limit will be rejected. Do NOT attempt to work around this via terminal commands or other tools — the limit is intentional. - Updates: When updating an existing file, the new content must be at least 50% of the original file size (for files over 10 KB). This prevents accidental truncation.
- Branches:
create_branch,list_branches,list_commits,get_commit - PRs:
create_pull_request,list_pull_requests,merge_pull_request,get_pull_request_files - Issues:
create_issue,list_issues,search_issues,add_issue_comment - Actions:
list_workflow_runs,get_workflow_run,get_job_logs,run_workflow - Security:
list_code_scanning_alerts,list_dependabot_alerts,list_secret_scanning_alerts - All MCP tools require
ownerandrepoparameters (split from 'owner/repo').
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.
- 1mo ago First seen · 96 lines · 24 tokens per session scan A c2c02db016f8
github is a skill published in the GitHub repository Arvo-AI/aurora (434 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 1,518 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 2026-08-30.
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