gza-code-review-interactive
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.
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 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
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
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
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.
Geeignete Aufgaben
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Geeignete Agents
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-interactiveNicht 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
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
Alternative
To Tickets
176.7K Stars
npx skills add mattpocock/skills --skill to-tickets
Agent-Sicherheit v2
37/100 · Automatische Installation vermeiden
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
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-interactiveAgent-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%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/mhawthorne-gza-code-review-interactive/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 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.
Installationsübergabe
/api/skills/mhawthorne-gza-code-review-interactive/install
LLM-Textformat
/api/skills/mhawthorne-gza-code-review-interactive/install?format=text
Alternativen finden
/api/skills/search?q=gza-code-review-interactive&limit=3
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-interactiveRegistry-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/mhawthorne-gza-code-review-interactive
LLM-Text
/api/registry/manifest/mhawthorne-gza-code-review-interactive?format=text
Installationsalias
/api/registry/install/mhawthorne-gza-code-review-interactive
Empfehlen
/api/registry/recommend?task=Use%20gza-code-review-interactive%20in%20an%20agent%20workflow&limit=3
Agent-Fit
GitHub automation
Use-Case-Tags
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 73/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Needs validation for GitHub automation
Do a manual repository review before adding this to an agent workflow.
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
- 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
Beheben11 GitHub-Stars
Star-/Fork-Aktivität
Beheben11 Stars und 1 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
BestandenHeute gepusht
Lizenzklarheit
BestandenMIT
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.
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.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
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.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
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.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
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
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 75/100
- 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 gza-code-review-interactive, bereit für einen manuellen X-Post.
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
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
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- mhawthorne
- Quelle
- mhawthorne/gza
- 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 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.
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive/audit)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)Autor
mhawthorne
@mhawthorne
Tags
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
Nur Sandbox
- 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
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