vigilante-create-issue
Help a human author write an implementation-ready GitHub issue that Vigilante can execute reliably.
Asset-Profil
Coding- und Entwickler-Agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Szenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent-Fit
Claude Code + CLI + Codex
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add aliengiraffe/vigilante --skill vigilante-create-issue
Wartung
Aktuell
4 Tage seit dem letzten Push
Risiko
Prüfung nötig
Dependency or permission surface needs review
GitHub-Qualität
37
62/100 Qualität · 68/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Nur SandboxNützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Stars
37 GitHub-Stars
Repository-Aktivität
37 Stars und 6 Forks
Wartung
4 Tage seit dem letzten Push
Lizenz
Apache-2.0
Installieren
npx skills add aliengiraffe/vigilante --skill vigilante-create-issue
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
shell or command execution, filesystem or document access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Starker README/SKILL.md-Kontext
Risikoübersicht
Vor Produktion prüfen
- 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
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add aliengiraffe/vigilante --skill vigilante-create-issue
- Richtlinie
- Blockieren
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 60/100
- Audit
- 74/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add aliengiraffe/vigilante --skill vigilante-create-issueNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- 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
Alternative
Opencode
200.7K Stars
npx skills add anomalyco/opencode
Alternative
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
Alternative
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
Agent-Sicherheit v2
26/100 · Automatische Installation vermeiden
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.
Hoch
Shell- oder Befehlsausführung
Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.
Mittel
Browser automation
Skill may drive a browser or interact with web pages.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
- Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
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-issueAgent-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20vigilante-create-issue%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20vigilante-create-issue%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/aliengiraffe-vigilante-create-issue/install
Agent sollte prüfen
- 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.
Prompt kopieren
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-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/aliengiraffe-vigilante-create-issue/install
LLM-Textformat
/api/skills/aliengiraffe-vigilante-create-issue/install?format=text
Alternativen finden
/api/skills/search?q=vigilante-create-issue&limit=3
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-issueRegistry-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/aliengiraffe-vigilante-create-issue
LLM-Text
/api/registry/manifest/aliengiraffe-vigilante-create-issue?format=text
Installationsalias
/api/registry/install/aliengiraffe-vigilante-create-issue
Empfehlen
/api/registry/recommend?task=Use%20vigilante-create-issue%20in%20an%20agent%20workflow&limit=3
Agent-Fit
GitHub automation
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 74/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
GitHub automation
Vertrauenslabel
Zuerst prototypisieren
Installationspfad
Befehl bereit
Verwenden wenn
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 62/100
zuerst prüfen
- 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
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine GitHub automation-Aufgabe vollständig aus.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Vertrauensprofil
Nur Sandbox
Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
GitHub-Akzeptanz
Prüfen37 GitHub-Stars
Star-/Fork-Aktivität
Prüfen37 Stars und 6 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden4 Tage seit dem letzten Push
Lizenzklarheit
BestandenApache-2.0
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- 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
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
Opencode
The open source coding agent.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
Übersicht
--- 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
Technische Details
- Version
- 1.0.0
- Lizenz
- Apache-2.0
- Letzte Aktualisierung
- 19. Aug. 2026
- Veröffentlicht
- 19. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 72/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für vigilante-create-issue, bereit für einen manuellen X-Post.
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
Optionale Antwort mit Installationsbefehl
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
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- aliengiraffe
- Quelle
- aliengiraffe/vigilante
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird aliengiraffe zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/aliengiraffe-vigilante-create-issue)
[](https://www.openagentskill.com/skills/aliengiraffe-vigilante-create-issue)
[](https://www.openagentskill.com/skills/aliengiraffe-vigilante-create-issue/audit)
[](https://www.openagentskill.com/skills/aliengiraffe-vigilante-create-issue)Autor
aliengiraffe
@aliengiraffe
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 37
- Qualitätswert
- 34/100
- Letzter GitHub-Push
- 19. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 0
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Nur Sandbox
- GitHub-Akzeptanz37 GitHub-StarsPrüfen
- Star-/Fork-Aktivität37 Stars und 6 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
- Aktuelle Wartung4 Tage seit dem letzten PushBestanden
- LizenzklarheitApache-2.0Bestanden
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikocommand execution surface, network or browser surfacePrüfen
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Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsGrill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
164.7K StarsTo Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
164.7K Stars