vigilante-issue-implementation-on-bazel-monorepo

vigilante-issue-implementation-on-bazel-monorepo is a skill for Codex from aliengiraffe/vigilante. It costs 63 tokens per session (1,224 once invoked), scanned A, original, Apache-2.0.

Instructions for implementing a GitHub issue in a Bazel monorepo, a repository that contains multiple related projects managed together by Bazel. It covers the worktree, repository rules, issue updates, validation, branch, and pull request.

In plain words
What is it for?
Reading issue and repository instructions, choosing the smallest relevant Bazel package or target, validating changes, updating GitHub, pushing a branch, and opening a pull request.
Why use it?
It gives the coding agent a consistent process for changing the right part of a large repository and keeping the issue and review process informed.

Skill for Codex

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

Good fit Reading issue and repository instructions, choosing the smallest relevant Bazel package or target, validating changes, updating GitHub, pushing a branch, and opening a pull request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-bazel-monorepo
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-bazel-monorepo
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-bazel-monorepo

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-bazel-monorepo"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-bazel-monorepo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,224 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 41
    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 42
    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 $0.00063 $0.01224
Opus 5 $0.00032 $0.00612
Sonnet 5 $0.00013 $0.00245
Haiku 4.5 $0.00006 $0.00122

Measured 12d ago against content hash 02fd6c554f44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

vigilante-issue-implementation-on-bazel-monorepo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/vigilante-issue-implementation-on-bazel-monorepo/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vigilante Bazel Monorepo 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.

Bazel Focus

  • Read the repo/process context supplied in the prompt before changing code, especially Bazel markers and package-root hints.
  • Work in terms of Bazel packages and targets rather than generic workspace or repo-wide commands.
  • Choose the smallest explainable Bazel target scope that covers the files you touched, then widen only if validation or dependency structure requires it.
  • Log which Bazel target or package scope you selected and why.
  • Avoid blanket repo-wide Bazel validation unless it is truly required to prove the change.

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
    • Bazel docs, developer docs, and package-local docs that affect the touched targets
  • 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.
  1. Post an implementation plan early
  • After inspecting the issue and repository constraints, post a concise implementation plan to the issue using vigilante gh issue comment.
  • The plan comment should describe the intended development steps before substantial coding work begins.
  1. Detect a stacked base branch
  • Scan the issue body for an explicit, single-line directive of the form Base branch: <branch-name> (label is case-insensitive; <branch-name> is trimmed and may be surrounded by backticks).
  • Only honor the directive when it appears as its own top-level line in the issue body. Do not infer a stacked base from prose or sub-issue links.
  • If no directive is present, branch from and target the watch target's base branch as today.
  • When the directive is present:
    • Run git fetch origin <base> inside the assigned worktree before code changes.
    • If the fetch fails because the branch does not exist on the remote, stop work, post a failure comment on the issue, and do not silently fall back to the default branch.
    • Re-root the work branch onto origin/<base> with git reset --hard origin/<base> (no commits yet) or git rebase origin/<base> (commits present).
    • Use <base> as the PR target later and mention it in the implementation-plan comment.

Read the full file on GitHub · 71 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 · 71 lines · 63 tokens per session scan A 02fd6c554f44

Subscribe to this mod's changes

vigilante-issue-implementation-on-bazel-monorepo is a skill published in the GitHub repository aliengiraffe/vigilante (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 63 tokens to every session and 1,224 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.

Related

Other skills, from other repositories

pipeline-conductor

Use when a pipeline conductor session is being seeded, or when inspecting/debugging one. Operating procedure for the kirocrew-pipeline-conductor agent - run one issue/PR pipeline on one repository as a supervised fleet. Auto-pick items, preflight every candidate to one deterministic claim verdict, stand up one worker…

kirodotdev/KiroCrew · 142 tokens

kano-backlog

Prioritize and refine a GitHub Issues backlog with the Kano model — categorize every open issue as Must-be, Performance, Attractive, Indifferent, or Reverse, apply Kano + priority labels back to GitHub automatically, and recommend the single best next issue to pick up. Use this whenever the user wants to triage…

Lykhoyda/rn-dev-agent · 215 tokens

send-feedback

Explicit Codex workflow: Collect reviewed, sanitized rn-dev-agent feedback and create a GitHub issue only with user confirmation.

Lykhoyda/rn-dev-agent · 27 tokens

babysit

Use when the user says "babysit", "monitor", "keep checking", "keep an eye on", "loop on this PR", "let me know when", or wants polling that outlives a wait+poll window. Same-session monitoring loop for PRs, CI runs, tickets, and deployments using the monitorstart / monitorupdate / autonudgestop MCP tools. The loop…

kirodotdev/KiroCrew · 137 tokens

goal-ledger-conductor

Use when the user hands over a goal too large for one session ("clear the flaky-test backlog", "take this feature from design to PRs", "push these N PRs green") and wants the fleet's state to be readable rather than inferred. Own a long-horizon goal end to end while tracking it in the work ledger - decompose it into…

kirodotdev/KiroCrew · 125 tokens

feature-request

Conversational workflow for gathering user feedback and filing GitHub Issues on the Kiro Crew repository. Load when the user clicks "Request a Feature", wants to report a bug, or suggest an improvement.

kirodotdev/KiroCrew · 43 tokens