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 DonggangChen/antigravity-agentic-skills --skill github_project_automationgit clone --depth 1 https://github.com/DonggangChen/antigravity-agentic-skillsWrote 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/donggangchen/antigravity-agentic-skills/github_project_automation)<a href="https://agentmods.dev/skills/donggangchen/antigravity-agentic-skills/github_project_automation"><img src="https://agentmods.dev/badge/skills/donggangchen/antigravity-agentic-skills/github_project_automation/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/donggangchen/antigravity-agentic-skills/github_project_automation"><img src="https://agentmods.dev/badge/skills/donggangchen/antigravity-agentic-skills/github_project_automation.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 | $0.00000 | $0.07608 |
| Opus 5 | $0.00000 | $0.03804 |
| Sonnet 5 | $0.00000 | $0.01522 |
| Haiku 4.5 | $0.00000 | $0.00761 |
Grade A, and why
github_project_automation 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 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.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 1,280 lines · 0 tokens per session scan A 35c4fc4f8b62
github_project_automation is a skill published in the GitHub repository DonggangChen/antigravity-agentic-skills (2 stars, last pushed 8mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 7,608 tokens. 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 2026-08-31.
Other skills, from other repositories
github-operations
GitHub CLI operations for issues, PRs, milestones, and Projects v2. Covers gh commands, REST API patterns, and automation scripts. Use when managing GitHub issues, PRs, milestones, or Projects with gh.
github-tool
GitHub integration tool for listing and creating issues and PRs via the gh CLI wrapper. Use when: creating or listing issues or pull requests, or checking repository work on GitHub.
github-ops
GitHub repository operations — issues, PRs, code search, and config-as-code workflows. Use when creating a GitHub issue for a network finding, opening a pull request for a config change, searching repos for IP or VLAN references, or committing an audit report to a repository.
finn-build
Claim the next safe agent-ready issue from Linear, implement it, and open a PR. Use when asked to run Finn-loop's builder, work the approved queue, or fix Finn-loop review feedback. Designed for /loop; one pass does one unit of work.
finn-review
Review open PRs against their linked Linear issues and required GitHub checks, then post a three-group verdict with Finn-loop labels. Use when asked to run Finn-loop's reviewer or review its PR queue. Designed for /loop; never merges or pushes code.
finn-spec
Interview the user about a raw idea until confident, then file a build-ready issue in Linear. Use when asked to run Finn-loop's spec interview, draft a queue-ready issue, or plan a feature. Interactive — requires the user present; never run unattended.