gza-code-review-interactive

Prüfen · 60
Im Registry indexiert

Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups.

Verified installs0
Stars11
Version2.4.0
Qualität57/100 · Vielversprechend
Vertrauen60/100 · Nur Sandbox
Audit73/100 · Prüfung nötig

Asset-Profil

Coding- und Entwickler-Agents

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

Bereich ansehen

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 mhawthorne/gza --skill gza-code-review-interactive

Wartung

Aktuell

Heute gepusht

Risiko

Prüfung nötig

Permission surface may require sandboxing

GitHub-Qualität

11

57/100 Qualität · 68/100 Vertrauen

Abdeckungs-Tags

CodingGitHub automationCoding-Agentsagent-skill

Review-Notizen

Permission surface may require sandboxing · The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).

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

Vielversprechend
57

Useful candidate, but compare it with alternatives before adopting.

Vertrauen

Nur Sandbox
60

Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.

Audit

Prüfung nötig
73

Maschinenlesbare 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.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

11 GitHub-Stars

Repository-Aktivität

11 Stars und 1 Forks

Wartung

Heute gepusht

Lizenz

MIT

Installieren

npx skills add mhawthorne/gza --skill gza-code-review-interactive

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 reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access

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.

JSON öffnen

Geeignete Aufgaben

  • GitHub automation-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Geeignete Agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Installationsentscheidung

Befehl
npx skills add mhawthorne/gza --skill gza-code-review-interactive
Richtlinie
Prüfen
Menschliche Prüfung
Ja

Vertrauen und Risiko

Vertrauen
60/100
Audit
73/100
Risikoebene
Prüfung nötig

Ergebnis-Loop

Endpoint
/api/agent/outcome
Event-ID
resolve
Ergebnisse
5

Installationsbefehl

npx skills add mhawthorne/gza --skill gza-code-review-interactive

Nicht verwenden, wenn

  • Teams, die ein vom Anbieter unterstütztes SLA benötigen
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
  • Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung

Agent-Sicherheit v2

37/100 · Automatische Installation vermeiden

ExperimentellPrüfen

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Per API auflösen

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- oder Befehlsausführung
  • Permission surface may require sandboxing

Installationsziele

Diesen Skill im Agent-Workflow installieren

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

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 mhawthorne-gza-code-review-interactive

Agent-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.

Textplan öffnen

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 gza-code-review-interactive in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mhawthorne-gza-code-review-interactive/install
Install command: npx skills add mhawthorne/gza --skill gza-code-review-interactive
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.

Installations-API öffnen

Agent-Prompt

Use gza-code-review-interactive for this task. Review https://www.openagentskill.com/api/skills/mhawthorne-gza-code-review-interactive/install, then install with: npx skills add mhawthorne/gza --skill gza-code-review-interactive

Registry-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 öffnen

Agent-Fit

56/100

GitHub automation

Plattformen

Claude Code

Audit-Bericht

Prüfung nötig · 73/100

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

Audit-Bericht ansehenEval-Bericht ansehen

Agent-Entscheidungspanel

Needs validation for GitHub automation

Do a manual repository review before adding this to an agent workflow.

56
Bereitschaft
Prüfen
Phase

Rolle im Stack

Validierung nötig

Primäre Eignung

GitHub automation

Vertrauenslabel

Manuelle Prüfung nötig

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 57/100
  • 1 OpenAgentSkill-Interaktionen

zuerst prüfen

  • Low GitHub adoption signal
  • The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).

Implementierungspfad

  1. 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine GitHub automation-Aufgabe vollständig aus.
  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.

Vertrauensprofil

Nur Sandbox

Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.

60
OpenAgentSkill Trust Score

GitHub-Akzeptanz

Beheben

11 GitHub-Stars

Star-/Fork-Aktivität

Beheben

11 Stars und 1 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

Heute gepusht

Lizenzklarheit

Bestanden

MIT

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 reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 11 GitHub stars
  • Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
  • 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.

57
GitHub-Stars
11
Aktualität
Heute
Installationsbereit
Ja
Lizenz
MIT
Vor Installation prüfen: Low GitHub adoption signal · The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).

Workflow-Eignung

Diese Skill in diesen Szenarien nutzen

Workflow-Eignung

Zum vollständigen Workflow hinzufügen

Alternativen-Shortlist

Vor Installation vergleichen

Similar skills that may fit this task.

Alle vergleichen

Übersicht

--- name: gza-code-review-interactive description: Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups. allowed-tools: Bash(git:*), Bash(gh:*), Bash(uv run:*), Read, Edit, Write, Glob, Grep, Agent, AskUserQuestion version: 2.4.0 public: true ---

# Interactive Code Review

Review committed changes on the current feature branch and output a structured review.

Requires being on a non-main branch with commits ahead of main. If not, stop and tell the user: "Switch to a feature branch with commits to review. This skill reviews committed changes on feature branches (git diff main...HEAD)."

## Arguments

- `--pr` — Post the review as a PR comment (requires an existing PR on the branch) - `--apply-followups` — After the review, apply all non-blocking follow-ups inline without prompting. Has no effect if the verdict is `CHANGES_REQUESTED` (blockers exist) or if the review reports no follow-ups. Without this flag, the skill prompts the user interactively before applying. - No arguments — Just output the review locally, no PR interaction. If follow-ups exist, prompt the user once at the end (see Step 6).

## Process

### Step 1: Verify branch state

1. Check current branch: `git branch --show-current` - If on `main` or `master`, stop and tell the user to switch to a feature branch 2. Check for uncommitted changes: `git status --porcelain` - If there are uncommitted changes, warn the user but proceed with reviewing committed changes 3. Check if branch has commits ahead of main: `git log main..HEAD --oneline` - If no commits ahead, stop and tell the user there's nothing to review

### Step 2: Find PR (only if --pr flag is set)

1. Look up existing PR: `gh pr view --json number,url,title 2>/dev/null` 2. If no PR exists, stop and tell the user to create one first (do NOT create a PR automatically) 3. Capture the PR number and URL

### Step 3: Capture review context in the parent session

Capture canonical ask context before spawning the reviewer: - If the caller already provided a `## Review scope:` section, pass it through unchanged, along with any `## Original plan context (out of scope except for the review scope):` section. - Otherwise, if the caller already provided exactly one canonical ask section (`## Original plan:` or `## Original request:`), pass that section through unchanged. - Otherwise, try to resolve ask context from the branch's linked gza task chain (`uv run gza show <TASK_ID>` / `uv run gza log <TASK_ID>` is preferred once you identify the task for this branch). - If linked ask content exists but is unavailable on this machine, pass an explicit unavailable-content marker section (for example, `## Original plan:` followed by `(plan task <TASK_ID> exists but content unavailable on this machine - flag as blocker)`). - If no retrievable plan or request exists for this branch, pass no ask section and let the reviewer state: `No plan or request provided.`

Then capture the committed diff: - If the caller already provided diff context, use that as-is and do not reconstruct it. Otherwise, collect the committed branch diff once in the parent session: ```bash git diff main...HEAD ``` Pass this diff to the subagent as `## Implementation diff context`.

### Step 4: Run the review

Spawn a **general-purpose Agent** subagent to perform the review. Give it this prompt (include the captured diff context):

---

You are reviewing a pull request. Your job is to read the project review guidelines, examine the diff, and produce a structured review.

**Step 1**: Read `REVIEW.md` from the project root for review guidelines and criteria.

**Step 2**: Start with a repo-rules/learnings pass: compare the diff and behavior against AGENTS.md, REVIEW.md, project docs, and `.gza/learnings.md`; call out violations or regressions explicitly. Keep this review stack-agnostic. If project verification instructions are missing, state that explicitly in assumptions/risks.

**Step 3**: The provided diff is authoritative - do not use git commands to reconstruct, re-derive, or expand it. You may read unchanged source files when surrounding context is needed to judge correctness.

**Step 3.5**: When you need to verify behavior that isn't visible in the diff (e.g., whether a CLI command exists, how a called function works, what a referenced method does), use the Read, Grep, or Glob tools to check the current codebase. Do not guess or assume — verify.

**Step 3.7**: If `## Review scope:` is present, grade ask-adherence against that section only and use any original-plan-context section only for boundaries/contracts. Otherwise, review the diff against the provided canonical ask context (`## Original plan:` or `## Original request:`). If ask content is marked unavailable, call that out as a blocker. If neither ask section is provided, state `No plan or request provided.`

**Step 4**: Write a structured review with these sections:

```markdown ## Summary

<Provide 3-5 bullets summarizing the review> <Then answer this checklist with exactly 6 bullets in `Yes/No - ...` form and one short evidence clause each:> <- Did I check the diff against AGENTS.md and `.gza/learnings.md` and flag any violations/regressions?> <- Did I check for silent broad-exception fallbacks that mask errors while changing user/agent-visible state?> <- Did I check for misleading output (contradictory UI/prompt/context signals)?> <- Was a `## Review scope:` section provided, and if so did I grade ask-adherence against that scope while treating sibling slices as non-blocking unless they break an explicit contract? Otherwise, was an `## Original plan:` or `## Original request:` section provided, and did I verify ask-adherence against it while calling out intentional deviations? If neither was provided, did I state "No plan or request provided."?> <- Did I require targeted regression tests that match each failure mode (not generic "add tests")?> <- If config, CLI, or operator-facing behavior changed, did I verify docs/help/release-note impact?>

## Blockers

<Use ### B1, ### B2, ... for blockers. If none, write "None."> <Each blocker should include Evidence:, Open-state citation:, Impact:, Required fix:, Required tests:> <Class-of-issue enumeration: when one blocker is an instance of a repeated code-surface pattern (lookup table, classifier, dispatcher, schema/field mapping, multi-field validator, or parallel per-field/per-type handling), audit for analogous gaps before writing the blocker. The audit boundary is the affected file plus any other files in the same module (the same depth-3 path under `src/`) that were touched by the diff, plus any obvious same-module sibling of the affected file.> <Report all still-open gaps for that same class in one blocker, with every affected `path:line` or `path:start-end` citation included in `Open-state citation:` regardless of file, and a `Required fix:` that closes the whole class.> <Do not create one blocker per field, branch, case, table row, or file unless the required fixes are materially different.> <Do not expand the audit beyond the same module, and do not expand isolated one-off defects - this rule applies only after you have found a repeated-pattern blocker shape.> <Reserve BLOCKER for: correctness defects, behavior regressions, repository/rules violations, missing observability for user/agent-visible fallbacks, and misleading output/contradictory signals.> <Treat unexplained deviations from the provided review scope, plan, or request as BLOCKER.> <If `## Review scope:` is present, grade ask-adherence against that section only. Use any original plan context section only to understand boundaries and integration contracts.> <Do not raise blockers solely because deferred sibling slices from the original plan are not implemented; only raise blockers when in-scope work is missing/broken or the diff violates an explicit integration contract described in the review scope or plan context.> <Treat silent broad-exception fallbacks as BLOCKER when they can alter user/agent-visible state without clear warning/error surfacing.> <Treat misleading output (UI/prompt/context contradictions) as BLOCKER when it can cause incorrect operator or agent decisions.> <If config/CLI/operator-facing behavior changed, missing or incorrect docs/help/release-note updates are BLOCKER when they can mislead operators.> <Use FOLLOWUP for actionable low-risk debt that should be tracked but should not block merge.> <For each blocker, give a clear closure condition so an improve task can resolve all blockers in one pass.> <For class-of-issue blockers, the closure condition must cover every enumerated instance across all cited paths, not just the first example.> <Every BLOCKER must be falsifiable: `Evidence:` and `Open-state citation:` must show the current still-open state, and `Required fix:` must describe the concrete change needed to close it.> <Do not write a `BLOCKER` unless you can cite the current code or current diff proving the issue is still open.> <Prior review text, improve lineage, or task history are not sufficient evidence for a blocker.> <Improve-lineage context may justify a narrow current-source anti-regression check for repeated blocker shapes the latest improve was expected to close, but it is only a pointer to inspect the current code/diff. It is not independent blocker evidence and must not substitute for current proof on this diff.> <Review current code, diff, and scope only.> <Do not run or evaluate `verify_command`; verification is handled elsewhere.> <Do not create blockers because verification failed, timed out, was skipped, or was unavailable.> <If code has a test-quality issue, cite the concrete code/test issue directly rather than runner verify status.> <Severity shorthand: `BLOCKER` means merge-blocking; `FOLLOWUP` means non-gating but task-worthy; `NIT` is omitted from canonical output.> <Do not add a per-finding `Severity:` line; the `## Blockers` and `## Follow-Ups` sections are the severity field.> <Derive the final verdict from the findings:> <cannot classify safely -> `NEEDS_DISCUSSION`> <Borderline cases must include a one-sentence rubric justification in `Impact:`, `Required fix:`, or `Recommended follow-up:`> <A broad exception that can mask visible state or swallow a user/agent-visible failure is a `BLOCKER`.> <An adjacent-path coverage sweep that would strengthen confidence without proving the current slice unsafe is a `FOLLOWUP`.> <Open-state citation must contain one or more current-source references in `path:line` or `path:start-end` form; backticked citations and comma-separated multiple citations are allowed.>

## Follow-Ups

<Use ### F1, ### F2, ... for non-blocking actionable follow-ups. If none, write "None."> <Each follow-up should include Evidence:, Impact:, Recommended follow-up:, Recommended tests:> <Do not include NIT findings in canonical output.>

## Questions / Assumptions

<Bullet list of open questions/assumptions. If none, write "None.">

## Verdict

<Brief justification> <Verdict is derived from the findings: no blockers/no follow-ups -> APPROVED; no blockers/at least one follow-up -> APPROVED_WITH_FOLLOWUPS; any blocker -> CHANGES_REQUESTED; cannot classify safely -> NEEDS_DISCUSSION.> Verdict: APPROVED|APPROVED_WITH_FOLLOWUPS|CHANGES_REQUESTED|NEEDS_DISCUSSION ```

Do not rename, omit, or reorder these sections.

If a PR number is provided, post the review as a PR comment: ```bash gh pr comment <PR_NUMBER> --body "<review content>" ```

Use a heredoc for the body to handle multi-line content properly.

If no PR number is provided, just output the review directly.

---

Pass the authoritative diff context (`## Implementation diff context`), the `## Review scope:` section when available, otherwise the canonical ask context section (exactly one of `## Original plan:` or `## Original request:` when available), and the PR number (if `--pr` was used and a

Technische Details

Version
2.4.0
Lizenz
MIT
Letzte Aktualisierung
21. Aug. 2026
Veröffentlicht
21. Aug. 2026

Entscheidungsübersicht

Validierung nötig

56
Bereit
Prüfen
Phase

recent repository activity

Audit

Installationsprüfung

Installations- und Adoptionsprüfung

73
Prüfung nötig
Sicherheit
75/100
Wartung
100/100
Installieren
92/100
Vollständiges Audit öffnenEval-Bericht ansehen

Von Agent belegte Evidenz

Von Agent belegte Evidenz

Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.

0
Belegt
Needs first agent runAuto-Installation: zuerst prüfenLetzter: Unbekannt
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

X

Szenariobasierter Entwurf für gza-code-review-interactive, bereit für einen manuellen X-Post.

Kuratorenhinweis
gza-code-review-interactive: Review changes on current branch and output a structured review. Optionally post to PR with -...

11 stars

https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive?ref=x
X-Entwurf öffnen
Optionale Antwort mit Installationsbefehl
Listing + install path for gza-code-review-interactive:
https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive?ref=x

Install: npx skills add mhawthorne/gza --skill gza-code-review-interactive
Antwortentwurf öffnen

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
mhawthorne
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 beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird mhawthorne 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/mhawthorne-gza-code-review-interactive?metric=listed&label=Listed)](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/mhawthorne-gza-code-review-interactive?metric=trust&label=Trust)](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/mhawthorne-gza-code-review-interactive?metric=audit&label=Audit)](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/mhawthorne-gza-code-review-interactive?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)

Autor

M

mhawthorne

@mhawthorne

Plattform-Fit

Gesundheitssignale

GitHub-Stars
11
Qualitätswert
31/100
Letzter GitHub-Push
21. Aug. 2026
Framework-Hinweise
Unbekannt
OpenAgentSkill-Aufrufe
1
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

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  • GitHub-Akzeptanz11 GitHub-StarsBeheben
  • Star-/Fork-Aktivität11 Stars und 1 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBeheben
  • Aktuelle WartungHeute gepushtBestanden
  • LizenzklarheitMITBestanden
  • README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
  • Abhängigkeits-/LaufzeitrisikoBefehlsausführungsflächeInfo