Borrowing it
Nothing to install: this file belongs to MercurieVV/ScalaSemantic. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MercurieVV/ScalaSemantic/master/.claude/skills/gh-task/SKILL.mdgit clone --depth 1 https://github.com/MercurieVV/ScalaSemanticWrote 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/mercurievv/scalasemantic/gh-task)<a href="https://agentmods.dev/skills/mercurievv/scalasemantic/gh-task"><img src="https://agentmods.dev/badge/skills/mercurievv/scalasemantic/gh-task/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/mercurievv/scalasemantic/gh-task"><img src="https://agentmods.dev/badge/skills/mercurievv/scalasemantic/gh-task.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 | $0.00047 | $0.00258 |
| Opus 5.5 | $0.00019 | $0.00103 |
| Sonnet 5.5 | $0.00009 | $0.00052 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
gh-task 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.
What it actually says
GitHub Task
Overview
Run one GitHub issue through the repository workflow in docs/commands/gh-task.md.
Treat that file as the canonical procedure and load it before doing task work.
Input
Accept a GitHub issue URL, #123, or 123.
Resolve the numeric issue id and use that exact id as the worktree and branch name.
Workflow
1.Follow docs/commands/gh-task.md exactly unless the current user gives a newer conflicting instruction.
2.Keep all implementation work inside .worktrees/<issue-id> after the worktree is created.
Guardrails
- Do not delete or revert unrelated user changes.
- Stop with the exact blocker and current branch/worktree state if credentials, external services, or ambiguous requirements prevent completion.
- Use ScalaSemantic MCP tools for Scala source analysis after compiling, when available.
What ships with it
1 file 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.
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 · 28 lines · 47 tokens per session scan A 003a19405f23
gh-task is a skill published in the GitHub repository MercurieVV/ScalaSemantic (22 stars, last pushed 8d ago), licensed MIT. It adds 47 tokens to every session and 258 once invoked, about $0.0002 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 2026-08-30.
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