AuC is a Python framework for running a single AI agent with an asynchronous, pluggable reasoning loop, language-model adapters, permission levels, and observable events. It is used to build coding and conversational agents with tools, security checks, web interfaces, background jobs, evaluations, and isolated execution. The catalogue entries are skills for extending its agent workflow.
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 ufy2024/AuC --skill github-opsgit clone --depth 1 https://github.com/ufy2024/AuCWrote 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/ufy2024/auc/github-ops)<a href="https://agentmods.dev/skills/ufy2024/auc/github-ops"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/github-ops/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/ufy2024/auc/github-ops"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/github-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 22 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00071 | $0.01247 |
| Opus 5.5 | $0.00028 | $0.00499 |
| Sonnet 5.5 | $0.00014 | $0.00249 |
| Haiku 4.5 | $0.00007 | $0.00125 |
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 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- github-ops — 94% identical, 29 lines differ
- github-ops — 94% identical, 29 lines differ
- github-ops — 94% identical, 30 lines differ
- github-ops — 94% identical, 29 lines differ
- github-ops — 91% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 167 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 Activate
- 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.
- 1mo ago First seen · 167 lines · 71 tokens per session scan A 60352a0159e4
github-ops is a skill published in the GitHub repository ufy2024/AuC (1,073 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 1,247 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
batch
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
team-release
Orchestrate the release team — release-manager, qa-lead, devops-engineer, producer — to execute a release from candidate to deployment.
operating-github-cli
Default GitHub skill for the action agent. Use githubcli for any GitHub request — create/list/view/close issues and PRs, assign, labels, repos, releases, checks, github.com/owner/repo URLs, or gh api. Prefer over shellrun/!gh. Run these with githubcli in the current agent turn.
github
Drive GitHub via the official gh CLI — repos, issues, pull requests, releases, gists, Actions runs, and raw REST through gh api. Use when the user asks to inspect or manage GitHub.
testdino-releases
Use when the user wants to browse, inspect, create, or update releases/milestones in a TestDino project. Covers listreleases, getrelease, createrelease, and updaterelease. Accepts counter-style IDs like MS-12.
create-milestone
Create a GitHub milestone for an upcoming release. Suggests the next version based on the latest release, gathers all merged PRs and closed issues since that release, presents a draft with two tables (Issues and PRs) for user approval, then creates the milestone and assigns all approved items.