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/jamkris/everything-gemini-code/github-opsnpx skills add Jamkris/everything-gemini-code --skill github-opsgit clone --depth 1 https://github.com/Jamkris/everything-gemini-codeWrote 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/jamkris/everything-gemini-code/github-ops)<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/github-ops"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/github-ops.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 | $0.00071 | $0.01150 |
| Opus 5 | $0.00036 | $0.00575 |
| Sonnet 5 | $0.00014 | $0.00230 |
| Haiku 4.5 | $0.00007 | $0.00115 |
Grade A, and why
github-ops 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.
This is a copy
91% identical to github-ops — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Operations
Manage GitHub repositories with a focus on community health, CI reliability, and contributor experience.
When to Use
- Triaging issues (classifying, labeling, responding, deduplicating)
- Managing PRs (review status, CI checks, stale PRs, merge readiness)
- Debugging CI/CD failures
- Preparing releases and changelogs
- Monitoring Dependabot and security alerts
- Managing contributor experience on open-source projects
- User says "check GitHub", "triage issues", "review PRs", "merge", "release", "CI is broken"
Tool Requirements
- gh CLI for all GitHub API operations
- Repository access configured via
gh auth login
Issue Triage
Classify each issue by type and priority:
Types: bug, feature-request, question, documentation, enhancement, duplicate, invalid, good-first-issue
Priority: critical (breaking/security), high (significant impact), medium (nice to have), low (cosmetic)
Triage Workflow
- Read the issue title, body, and comments
- Check if it duplicates an existing issue (search by keywords)
- Apply appropriate labels via
gh issue edit --add-label - For questions: draft and post a helpful response
- For bugs needing more info: ask for reproduction steps
- For good first issues: add
good-first-issuelabel - For duplicates: comment with link to original, add
duplicatelabel
# Search for potential duplicates
gh issue list --search "keyword" --state all --limit 20
# Add labels
gh issue edit <number> --add-label "bug,high-priority"
# Comment on issue
gh issue comment <number> --body "Thanks for reporting. Could you share reproduction steps?"
PR Management
Review Checklist
- Check CI status:
gh pr checks <number> - Check if mergeable:
gh pr view <number> --json mergeable - Check age and last activity
- Flag PRs >5 days with no review
- For community PRs: ensure they have tests and follow conventions
Stale Policy
- Issues with no activity in 14+ days: add
stalelabel, comment asking for update - PRs with no activity in 7+ days: comment asking if still active
- Auto-close stale issues after 30 days with no response (add
closed-stalelabel)
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 First seen · 145 lines · 71 tokens per session scan A eb43251966c5
github-ops is a skill published in the GitHub repository Jamkris/everything-gemini-code (87 stars, last pushed 3mo ago), licensed MIT. It adds 71 tokens to every session and 1,150 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to github-ops, differing in 30 lines, and is treated as a copy.
Other skills, from other repositories
lov-release-via-cicd
Configure CI/CD and publish new versions for Node, Tauri, Vite, shell, and GitHub Release projects. Use when the user asks to setup release workflow, publish a new version, verify macOS signing/notarization, recover a failed GitHub Release, or mentions "release-via-cicd", "配置并发布新版", "签名", "notarize", "GitHub Release"…
looker
These skills are designed for data discovery and business intelligence.
looker-dev
These skills are built for LookML developers, data engineers, and administrators who manage the backbone of Looker.
cloud-sql-postgres-health
Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.
cloud-sql-postgres-vectorassist
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
cloud-sql-postgres-data
Use these skills when you need to explore the database structure, discover schema objects like views or stored procedures, and execute custom SQL queries to interact with your data.