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/google-labs-code/jules-skills/automate-github-issuesnpx skills add google-labs-code/jules-skills --skill automate-github-issuesgit clone --depth 1 https://github.com/google-labs-code/jules-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/google-labs-code/jules-skills/automate-github-issues)<a href="https://agentmods.dev/skills/google-labs-code/jules-skills/automate-github-issues"><img src="https://agentmods.dev/badge/skills/google-labs-code/jules-skills/automate-github-issues.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 | $0.00022 | $0.00982 |
| Opus 5 | $0.00011 | $0.00491 |
| Sonnet 5 | $0.00004 | $0.00196 |
| Haiku 4.5 | $0.00002 | $0.00098 |
Grade C, and why
automate-github-issues scanned grade C with 2 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 4d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **Bun not found**: Install Bun: `curl -fsSL https://bun.sh/install | bash` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Bun not found**: Install Bun: `curl -fsSL https://bun.sh/install | bash` How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automate GitHub Issues with Jules
You are setting up a repository to automatically analyze open GitHub issues, plan implementation tasks, and dispatch parallel Jules coding agents to fix them.
What You're Setting Up
A 5-phase automated pipeline that runs via GitHub Actions (or locally):
- Analyze — Fetch open issues and format as structured markdown
- Plan — A Jules session performs deep code-level triage and produces self-contained task prompts
- Validate — Verify no two tasks modify the same file (prevents merge conflicts)
- Dispatch — Spawn parallel Jules sessions, one per task
- Merge — Sequential PR merge with CI validation
Setup Steps
Step 1: Copy fleet scripts to the repository
Copy the entire scripts/ directory from this skill into the target repository at scripts/fleet/:
Target structure:
scripts/fleet/
├── fleet-analyze.ts
├── fleet-plan.ts
├── fleet-dispatch.ts
├── fleet-merge.ts
├── types.ts
├── prompts/
│ ├── analyze-issues.ts
│ └── bootstrap.ts
└── github/
├── git.ts
├── issues.ts
├── markdown.ts
└── cache-plugin.ts
Important: Preserve the directory structure exactly. The scripts use relative imports between files.
Step 2: Copy workflow templates
Copy the workflow files from assets/ to the repository's .github/workflows/ directory:
assets/fleet-dispatch.yml→.github/workflows/fleet-dispatch.ymlassets/fleet-merge.yml→.github/workflows/fleet-merge.yml
Step 3: Create a package.json for the fleet scripts
Create scripts/fleet/package.json with the required dependencies:
{
"name": "fleet-scripts",
"private": true,
"type": "module",
"dependencies": {
"@google/jules-sdk": "^0.1.0",
"octokit": "^4.1.0",
"find-up": "^7.0.0"
},
"devDependencies": {
"@types/bun": "^1.2.0"
}
}
Step 4: Create environment template
Copy assets/.env.example to the repository root.
Step 5: Install dependencies
cd scripts/fleet && bun install
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/.env.example 391 B
- assets/fleet-dispatch.yml 1.6 KB
- assets/fleet-merge.yml 7.4 KB
- package.json 505 B
- README.md 4.8 KB
- resources/architecture.md 3.8 KB
- scripts/fleet-analyze.ts 866 B runs code
- scripts/fleet-dispatch.ts 2.7 KB runs code
- scripts/fleet-merge.ts 8.9 KB runs code
- scripts/fleet-plan.ts 1.3 KB runs code
- scripts/github/cache-plugin.ts 1.5 KB runs code
- scripts/github/git.ts 2.9 KB runs code
- scripts/github/issues.ts 1.4 KB runs code
- scripts/github/markdown.ts 3.3 KB runs code
- scripts/prompts/analyze-issues.ts 13 KB runs code
- scripts/prompts/bootstrap.ts 2.5 KB runs code
- scripts/setup.sh 2.4 KB runs code
- scripts/types.ts 1.4 KB runs code
- tsconfig.json 266 B
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.
- 4d ago First seen · 137 lines · 22 tokens per session scan C f738bf840dbe
automate-github-issues is a skill published in the GitHub repository google-labs-code/jules-skills (91 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 982 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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