vigilante-issue-implementation-on-turborepo

vigilante-issue-implementation-on-turborepo is a skill for Codex from aliengiraffe/vigilante. It costs 65 tokens per session (1,414 once invoked), scanned A, original, Apache-2.0.

A workflow for implementing GitHub issues in Turborepo projects that use pnpm workspaces. A monorepo is one repository containing multiple apps or packages, and Turborepo helps coordinate their work.

In plain words
What is it for?
Use it to implement issues in Turborepo monorepos, select relevant workspaces, work in the assigned worktree, and report progress or failures.
Why use it?
It helps identify the smallest affected app or package, follow repository instructions, validate the right workspace, and keep the GitHub issue updated through the pull request.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md; mentions Codex.

Good fit Use it to implement issues in Turborepo monorepos, select relevant workspaces, work in the assigned worktree, and report progress or failures.

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Install with agentmods
npx agentmods add skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo
Install

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.

Any agent
npx skills add aliengiraffe/vigilante --skill vigilante-issue-implementation-on-turborepo
Clone the repo
git clone --depth 1 https://github.com/aliengiraffe/vigilante

Made for: Codex.

Wrote 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.

agentmods badge for vigilante-issue-implementation-on-turborepo

README.md
[![agentmods](https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo/github.svg)](https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo)
Your own site
<a href="https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo/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.

agentmods 80×15 button for vigilante-issue-implementation-on-turborepo

Your own site · 80×15
<a href="https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-turborepo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,414 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

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 →

  • high YARA Match · line 47
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
  • high Tool Misuse · line 48
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.01414
Opus 5 $0.00032 $0.00707
Sonnet 5 $0.00013 $0.00283
Haiku 4.5 $0.00006 $0.00141

Measured 12d ago against content hash b4900ab125ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vigilante-issue-implementation-on-turborepo 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 12d 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.

skills/vigilante-issue-implementation-on-turborepo/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vigilante Turborepo Issue Implementation

Overview

Implement one GitHub issue from Vigilante dispatch through validated code changes, a pushed branch, and an opened pull request from the provided worktree. Always work inside the assigned worktree, respect repository instructions, and keep the GitHub issue updated with start, plan, progress, PR, and failure comments.

Turborepo Focus

  • Read the repo/process context supplied in the prompt before changing code.
  • Confirm the repository is Turborepo-shaped by checking for turbo.json plus workspace markers such as pnpm-workspace.yaml or root package.json workspaces.
  • Select the smallest relevant workspace scope for the issue instead of working across the full monorepo by default.
  • Prefer the app or package directly named in the issue; otherwise infer the most likely scope from touched routes, ownership docs, script names, and common roots such as apps/* and packages/*.
  • State which workspace or workspaces were selected and why in progress comments or terminal summaries.

Workspace Selection

  • Inspect turbo.json, root package.json, pnpm-workspace.yaml, and the top-level workspace folders before making edits.
  • Look for issue clues in app names, package names, paths, scripts, domain terms, and repository docs.
  • If multiple workspaces are plausible, start with the narrowest one that can fully implement and validate the issue.
  • Only expand to additional workspaces when shared packages, integration flows, or cross-app contracts make that necessary.

Workflow

  1. Inspect issue and repository constraints
  • Read the issue details supplied by Vigilante and confirm the issue scope before coding.
  • Read development constraints from repository markdown files before making changes:
    • AGENTS.md when present
    • README.md
    • workspace-level docs for the selected app/package when present
  • If repository instructions conflict, follow the more specific instruction.
  1. Announce session start on GitHub
  • Post a comment on the issue as soon as work begins using vigilante gh issue comment.
  • Include that Vigilante launched the session, the working branch, and that implementation is in progress.

Read the full file on GitHub · 80 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 80 lines · 65 tokens per session scan A b4900ab125ca

Subscribe to this mod's changes

vigilante-issue-implementation-on-turborepo is a skill published in the GitHub repository aliengiraffe/vigilante (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,414 once invoked, about $0.0003 per session on Opus 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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