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 understudy-ai/understudy --skill gh-issuesgit clone --depth 1 https://github.com/understudy-ai/understudyWrote 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/understudy-ai/understudy/gh-issues)<a href="https://agentmods.dev/skills/understudy-ai/understudy/gh-issues"><img src="https://agentmods.dev/badge/skills/understudy-ai/understudy/gh-issues/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/understudy-ai/understudy/gh-issues"><img src="https://agentmods.dev/badge/skills/understudy-ai/understudy/gh-issues.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 | $0.00116 | $0.08492 |
| Opus 5.5 | $0.00046 | $0.03397 |
| Sonnet 5.5 | $0.00023 | $0.01698 |
| Haiku 4.5 | $0.00012 | $0.00849 |
Grade A, and why
gh-issues scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
{ "understudy": { "requires": { "bins": ["curl", "git"] }, "primaryEnv": "GH_TOKEN" } } This is a copy
88% identical to gh-issues — 90 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 — 854 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gh-issues — Auto-fix GitHub Issues with Parallel Sub-agents
You are an orchestrator. Follow these 6 phases exactly. Do not skip phases.
IMPORTANT — No gh CLI dependency. This skill uses curl + the GitHub REST API exclusively. When configured, Understudy should inject GH_TOKEN into the skill environment. Pass it as a Bearer token in all API calls:
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" ...
Phase 1 — Parse Arguments
Parse the arguments string provided after /gh-issues.
Positional:
- owner/repo — optional. This is the source repo to fetch issues from. If omitted, detect from the current git remote:
git remote get-url originExtract owner/repo from the URL (handles both HTTPS and SSH formats).- HTTPS: https://github.com/owner/repo.git → owner/repo
- SSH: [email protected]:owner/repo.git → owner/repo If not in a git repo or no remote found, stop with an error asking the user to specify owner/repo.
Flags (all optional):
| Flag | Default | Description |
|---|---|---|
| --label | (none) | Filter by label (e.g. bug, enhancement) |
| --limit | 10 | Max issues to fetch per poll |
| --milestone | (none) | Filter by milestone title |
| --assignee | (none) | Filter by assignee (@me for self) |
| --state | open | Issue state: open, closed, all |
| --fork | (none) | Your fork (user/repo) to push branches and open PRs from. Issues are fetched from the source repo; code is pushed to the fork; PRs are opened from the fork to the source repo. |
| --watch | false | Keep polling for new issues and PR reviews after each batch |
| --interval | 5 | Minutes between polls (only with --watch) |
| --dry-run | false | Fetch and display only — no sub-agents |
| --yes | false | Skip confirmation and auto-process all filtered issues |
| --reviews-only | false | Skip issue processing (Phases 2-5). Only run Phase 6 — check open PRs for review comments and address them. |
| --cron | false | Cron-safe mode: fetch issues and spawn sub-agents, exit without waiting for results. |
| --model | (none) | Model to use for sub-agents (e.g. glm-5, zai/glm-5). If not specified, uses the agent's default model. |
| --notify-channel | (none) | Telegram channel ID to send final PR summary to (e.g. -1002381931352). Only the final result with PR links is sent, not status updates. |
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 · 854 lines · 116 tokens per session scan A b31d3dcea166
gh-issues is a skill published in the GitHub repository understudy-ai/understudy (463 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 8,492 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to gh-issues, differing in 90 lines, and is treated as a copy.
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