vigilante-create-issue

REVIEW · 60
Registry indexed

Help a human author write an implementation-ready GitHub issue that Vigilante can execute reliably.

Verified installs0
Stars37
Version1.0.0
Quality62/100 · Promising
Trust60/100 · Sandbox only
Audit74/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add aliengiraffe/vigilante --skill vigilante-create-issue

Maintenance

fresh

3d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

37

62/100 Quality · 68/100 Trust

Coverage tags

CodingGitHub automationcoding-agentsagent-skill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
62

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
60

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
74

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

37 GitHub stars

Repo activity

37 stars, 6 forks

Maintenance

3d since push

License

Apache-2.0

Install

npx skills add aliengiraffe/vigilante --skill vigilante-create-issue

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill references `vigilante gh` commands, which may be a custom wrapper; ensure the agent has the necessary permissions and that the wrapper is properly configured, but this is not a blocker.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add aliengiraffe/vigilante --skill vigilante-create-issue
Policy
block
Human review
yes

Trust and risk

Trust
60/100
Audit
74/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add aliengiraffe/vigilante --skill vigilante-create-issue

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill references `vigilante gh` commands, which may be a custom wrapper; ensure the agent has the necessary permissions and that the wrapper is properly configured, but this is not a blocker.
  • No OpenAgentSkill engagement data yet

Agent safety v2

26/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aliengiraffe-vigilante-create-issue

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use vigilante-create-issue in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20vigilante-create-issue%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aliengiraffe-vigilante-create-issue/install
Install command: npx skills add aliengiraffe/vigilante --skill vigilante-create-issue
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use vigilante-create-issue for this task. Review https://www.openagentskill.com/api/skills/aliengiraffe-vigilante-create-issue/install, then install with: npx skills add aliengiraffe/vigilante --skill vigilante-create-issue

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

61/100

GitHub automation

Platforms

Claude Code

Audit report

Needs review · 74/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

61
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 62/100 quality profile

review first

  • Low GitHub adoption signal
  • The skill references `vigilante gh` commands, which may be a custom wrapper; ensure the agent has the necessary permissions and that the wrapper is properly configured, but this is not a blocker.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

60
OpenAgentSkill Trust Score

GitHub adoption

CHECK

37 GitHub stars

Stars/forks activity

CHECK

37 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill references `vigilante gh` commands, which may be a custom wrapper; ensure the agent has the necessary permissions and that the wrapper is properly configured, but this is not a blocker.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 37 GitHub stars
  • Stars/forks activity: 37 stars, 6 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, network or browser surface
  • Permission surface: shell or command execution, filesystem or document access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

62
GitHub stars
37
Freshness
3d ago
Install ready
Yes
License
Apache-2.0
Review before install: Low GitHub adoption signal · The skill references `vigilante gh` commands, which may be a custom wrapper; ensure the agent has the necessary permissions and that the wrapper is properly configured, but this is not a blocker.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: vigilante-create-issue description: Help a human author write an implementation-ready GitHub issue that Vigilante can execute reliably. ---

# Vigilante Create Issue

## Overview Use this skill when a human wants to write or refine a GitHub issue that Vigilante will later implement. The default goal is to turn a vague request into an issue with enough behavioral detail, constraints, and verification criteria for a headless coding agent to execute safely, then create that issue on GitHub. If creation is not possible, fall back to returning a ready-to-file issue body. The goal is not to design the full solution for them.

## Outcome Produce a GitHub issue that is:

- classified as a `feature`, `bug`, or `task` before the draft is finalized - specific about the problem and why it matters - grounded in repository or product context - explicit about expected behavior and non-goals - realistic about implementation flexibility and hard constraints - testable through concrete acceptance criteria - clear about validation and regression coverage - created on GitHub by default when the target repository can be resolved and `gh` issue creation is available - returned as a polished Markdown draft only when the user explicitly asks for draft-only output or issue creation is blocked

## Workflow 1. Clarify the request before writing - Identify the change the user actually wants. - Ask for missing repository, product, or user context when it affects implementation. - Separate required behavior from guesses or preferences.

2. Classify the request before finalizing the issue body - Decide whether the request is best treated as a `feature`, `bug`, or `task`. - Base the classification on the user's stated problem and desired outcome rather than implementation details. - If the request is ambiguous, infer the most likely type and state briefly that the type was inferred. - Use the selected type to decide which details are required in the issue body, not just to append a label.

3. Resolve the target repository before finalizing output - Prefer local git context first when the user is working inside a repository. - Otherwise use an explicitly provided repository slug or URL. - If the repository cannot be resolved confidently, say so briefly and fall back to returning the ready-to-file issue body instead of guessing.

4. Frame the issue around execution - Write for the agent that will implement the issue later, not for a broad brainstorming audience. - Prefer observable behavior over vague aspirations. - Note any constraints that must be preserved: CLI flags, APIs, config compatibility, UX expectations, rollout limits, or performance boundaries.

5. Capture implementation guidance without over-constraining - Include likely solution paths when they materially reduce ambiguity. - Mark which implementation details are required and which are flexible. - Call out known tradeoffs or rejected alternatives when relevant.

6. Make completion testable - Convert expectations into pass/fail acceptance criteria. - State what tests should be added or updated. - Mention the key regressions or failure modes that must be prevented.

7. Create the GitHub issue by default - When the repository is known and the user did not explicitly ask for draft-only output, use `vigilante gh issue create` to open the issue. - Prefer `vigilante gh api repos/{owner}/{repo}/issues` over `vigilante gh issue create` when opening the final issue so Vigilante can set GitHub's native issue type with the request body `type` field. - Map Vigilante's internal classifications explicitly to GitHub's native issue types: `feature` -> `Feature`, `bug` -> `Bug`, `task` -> `Task`. - Treat the native GitHub issue type as the source of truth whenever the repository supports it. - When the draft explicitly says the new issue is a follow-up, child, or sub-issue of a specific existing issue, carry that parent issue number through issue creation. - After the base issue is created, attach it as a native GitHub sub-issue of that parent with `vigilante gh api --method POST repos/{owner}/{repo}/issues/{parent_issue_number}/sub_issues -f sub_issue_id={created_issue_id}`. - Only create a native relationship when the parent mapping is explicit and low-ambiguity; incidental issue-number mentions in prose are not enough. - If native sub-issue creation fails or the repository does not support it, keep the created issue, preserve the body text reference, and make the fallback explicit in the final response. - Use the polished Markdown body as the issue content instead of stopping at the draft. - In the final response, include the created issue URL or issue number and keep the body available if useful.

8. Fall back cleanly when issue creation is blocked - If issue creation cannot be completed because repository context is missing, `gh` auth is unavailable, network access is blocked, or sandbox restrictions prevent GitHub access, say so briefly and return the ready-to-file Markdown issue instead. - If the repository rejects the native `type` field because issue types are unavailable or unsupported, retry issue creation without the native type and make the fallback explicit in the final response. - If the native sub-issue relationship request is rejected or unsupported, do not fail the overall issue creation flow; keep the new issue and report that the relationship fell back to body-only text. - If the environment supports requesting escalation for GitHub/network access, do that before giving up. - If the user explicitly asks for a draft only, honor that request and do not create the issue. - Keep failure messaging short, specific, and factual.

## Issue Type Guidance - Always classify the request as `feature`, `bug`, or `task` before finalizing the issue. - When creating the issue on GitHub, write that classification into GitHub's native issue type field whenever the repository supports it. - Do not use labels or issue-body text as the primary type representation when the native issue type is set successfully. - Do not infer parent/child issue links from vague wording or unrelated issue references. - Only include an `Issue Type: ...` line in the issue body when returning a draft without creating the issue, or when native issue types are unavailable and the fallback needs to preserve the classification explicitly. - When the type was inferred from an ambiguous request, note that clearly, for example `Issue Type: task (inferred)`, but only in the draft/fallback body when that line is needed. - For `bug` issues, prioritize current behavior, expected behavior, impact, reproduction clues, and regression risk. - For `feature` issues, prioritize the desired user-facing outcome, scope boundaries, and non-goals. - For `task` issues, prioritize the concrete deliverable, operational context, constraints, and completion conditions.

## Required Sections Every issue draft should cover these sections when relevant:

1. Problem statement - What is wrong, missing, or desired? - Why does this matter now?

2. Context - What repository, product, or workflow context does the implementer need? - What is the current behavior? - Who is affected? - What assumptions or constraints are already known?

3. Desired outcome - What should be true after implementation? - What is explicitly out of scope?

4. Possible implementation approaches - What are the most plausible solution paths? - Which details are required versus flexible? - What tradeoffs should the implementer understand?

5. Acceptance criteria - Use explicit, testable statements. - Prefer behavior-focused checks over generic wording like "works correctly."

6. Testing expectations - State which test layers matter: unit, integration, CLI, workflow, end-to-end, or manual verification. - Mention critical regressions and failure modes that need coverage.

7. Operational or UX considerations - Include logging, migrations, config compatibility, docs, observability, rollout, or backward compatibility concerns when applicable.

## Issue Quality Rules - Do not leave "should support X" statements undefined when the expected behavior can be stated concretely. - Do not hide key constraints inside prose if they materially affect implementation. - Do not invent repository details that were not provided. Flag missing context instead. - Do not overload the issue with speculative architecture unless the decision matters to execution. - Do include non-goals so the eventual implementation stays narrow. - Do include exact commands, files, components, or workflows when they are already known.

## Stacked-PR Base Branch - When the user wants the new issue to be implemented on top of an existing in-flight branch (a stacked PR), add a single top-level line to the issue body of the form `Base branch: <branch-name>`. - Use this line only when the user explicitly asks to stack on another branch. Do not infer stacking from prose mentions of other branches, related issue numbers, or native sub-issue relationships. - The branch name must exist on the repository remote when implementation runs; the implementation skills will fail the session if it does not. - Without this line, Vigilante branches off and targets the watch target's base branch as today.

## Recommended Questions To Ask Use these to tighten the issue before drafting:

- What exactly should change? - What currently happens instead? - Why is the change needed? - What constraints must the implementation respect? - Which solution options are acceptable, and which are not? - How will we know the issue is done? - What tests prove the change works? - What regressions must be prevented?

## Output Template Use this structure for the issue body:

```md ## Summary <One short paragraph describing the problem and desired change.>

Issue Type: <feature | bug | task>[ (inferred)] <!-- include only for draft-only or documented fallback output -->

## Problem - <What is wrong, missing, or desired> - <Why it matters>

## Context - <Current behavior> - <Relevant repo, product, or workflow details> - <Constraints or assumptions>

## Desired Outcome - <Expected end-state> - <Non-goals or out-of-scope items>

## Implementation Notes - <Likely approach or options> - <Required constraints vs flexible details> - <Tradeoffs, if relevant>

## Acceptance Criteria - [ ] <Specific observable behavior> - [ ] <Specific observable behavior>

## Testing Expectations - <Tests to add or update> - <Failure modes or regressions to cover>

## Operational / UX Considerations - <Docs, logging, migration, compatibility, rollout, observability, etc.> ```

Type-specific reminders:

- `bug`: include current behavior, expected behavior, impact, and reproduction clues when available. - `feature`: include the desired outcome, boundaries, and explicit non-goals. - `task`: include the deliverable, operational context, constraints, and concrete done criteria.

## Final Checks Before creating the issue or returning the fallback draft, verify that:

- the problem is understandable without extra oral context - the selected issue type is `feature`, `bug`, or `task` - the native GitHub issue type is used when the issue is created in a repository that supports it - explicit follow-up or child relationships are attached as native GitHub sub-issues when the parent issue is clearly identified - ambiguous issue references do not create native parent/child links - any `Issue Type:` line in the body is reserved for draft-only or explicit fallback output - the desired outcome is observable - the acceptance criteria are testable - the testing section names the expected validation - the body includes the type-specific details that matter for the selected class instead of only a label - the issue gives Vigilante enough direction to implement without guessing the basics - the target repository is known before attempting issue creation - the final response includes the created issue URL or number when creation succeeds - the final response says whet

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 19, 2026
Published
Aug 19, 2026

Decision snapshot

Fallback candidate

61
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

74
Needs review
Security
72/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for vigilante-create-issue, ready for a manual X post.

Curator note
A practical pick for the next repo task:

vigilante-create-issue: Help a human author write an implementation-ready GitHub issue that Vigilante can execute reliably.

37 stars

https://www.openagentskill.com/skills/aliengiraffe-vigilante-create-issue?ref=x
Open X draft
Optional reply with install command
Listing + install path for vigilante-create-issue:
https://www.openagentskill.com/skills/aliengiraffe-vigilante-create-issue?ref=x

Install: npx skills add aliengiraffe/vigilante --skill vigilante-create-issue

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

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Owner claim

Claim this skill listing

This Registry indexed listing is attributed to aliengiraffe but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

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Author

A

aliengiraffe

@aliengiraffe

Platform fit

Health signals

GitHub stars
37
Quality score
34/100
Last GitHub push
Aug 19, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

60
  • GitHub adoption37 GitHub starsCHECK
  • Stars/forks activity37 stars, 6 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceCHECK