Goclaw은(는) 안전한가요?

Goclaw — Nerq Trust Score 69.1/100 (C 등급). 5 independent trust signals 기반 점수.

Goclaw 은(는) software tool입니다 Nerq 신뢰 점수 69.1/100 (C), 5개의 독립적으로 측정된 데이터 차원 기반. 보안: 0/100. 유지보수: 1/100. 인기도: 1/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: n/a. 기계 판독 가능 데이터 (JSON).

Goclaw은(는) 안전한가요?

신뢰 점수 세부 정보 — Goclaw has a Nerq Trust Score of 69.1/100 (C). Measured across 5 independent trust signals.

보안 분석 → Goclaw 개인정보 보고서 →

Goclaw의 신뢰 점수는?

Goclaw의 Nerq 신뢰 점수는 69.1/100이며 C 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 5개의 독립적으로 측정된 차원을 기반으로 합니다.

보안
0
규정 준수
84
유지보수
1
문서화
1
인기도
1

Goclaw의 주요 보안 발견 사항은?

Goclaw의 가장 강한 신호는 규정 준수이며 84/100입니다. 알려진 취약점이 감지되지 않았습니다.

⚠보안 점수: 0/100 (약함)
⚠유지보수: 1/100 — 낮은 유지관리 활동
⚠규정 준수: 84/100 — covers 43 of 52 관할권s
⚠문서화: 1/100 — 제한적 문서화
⚠인기도: 1/100 — 143 스타 수: github

Goclaw은(는) 무엇이며 누가 관리하나요?

개발자smallnest
카테고리Agent Framework
스타143
출처https://github.com/smallnest/goclaw
Frameworksopenai · anthropic
Protocolsrest

규정 준수

EU AI Act Risk ClassNot assessed
Compliance Score84/100
JurisdictionsAssessed across 52 관할권s

agent_framework의 인기 대안

hashbrown
68.0/100 · C
github
liquidos-ai/AutoAgents
71.5/100 · B
github
baidu-baige/LoongFlow
75.8/100 · B
github
neco_agents
54.8/100 · D
pypi_full

다른 플랫폼의 Goclaw

다른 레지스트리의 동일 개발자/회사:

github.com/smallnest/redcon
46/100 · go
github.com/smallnest/weighted
46/100 · go
github.com/smallnest/goreq
46/100 · go
github.com/smallnest/rpc
46/100 · go
github.com/smallnest/epoller
46/100 · go

What Is Goclaw?

Goclaw is a framework for building autonomous AI agents: An open-source AI assistant framework in Go.. It has 143 GitHub stars. Nerq Trust Score: 69/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 보안 vulnerabilities, 유지보수 activity, license 규정 준수, and 커뮤니티 채택.

How Nerq Assesses Goclaw's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how Goclaw performs in each:

The overall Trust Score of 69.1/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Goclaw?

Goclaw is commonly evaluated by:

How to read the signals: Goclaw's measured signals (보안 0/100, 유지보수 1/100, 문서화 1/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Goclaw's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — 다음을 검토하세요: repository's 보안 policy, open issues, and recent commits for signs of active 유지보수.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Goclaw's dependency tree.
  3. 리뷰 permissions — Understand what access Goclaw requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Goclaw in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=goclaw
  6. 다음을 검토하세요: license — Confirm that Goclaw's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses 보안 concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Goclaw

When evaluating whether Goclaw is safe, consider these category-specific risks:

Autonomous actions

Agent frameworks like Goclaw can take actions autonomously — executing code, calling APIs, modifying files. Always implement guardrails and human-in-the-loop controls for production deployments.

Prompt injection

AI agents built with Goclaw may be vulnerable to prompt injection attacks where malicious input causes the agent to take unintended actions. Test for adversarial inputs before deploying.

Resource consumption

Autonomous agents can incur unexpected API costs or resource usage. Set budget limits and monitoring alerts when deploying Goclaw-based agents.

Multi-agent coordination failures

When using Goclaw to orchestrate multiple agents, failures in inter-agent communication can lead to cascading errors, duplicated actions, or deadlocks. Implement circuit breakers and timeout mechanisms to prevent runaway agent loops that can consume resources indefinitely.

Memory and context poisoning

Agents built with Goclaw that persist memory across sessions can have their context poisoned by adversarial inputs. Once corrupted, the agent may make consistently poor decisions in future interactions. Implement memory validation and periodic context resets for long-running agents.

Best Practices for Using Goclaw Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Goclaw while minimizing risk:

Implement human-in-the-loop

Configure Goclaw agents to require human approval for high-impact actions like payments, data deletion, or external API calls.

Set budget and rate limits

Autonomous agents built with Goclaw can incur unexpected costs through API calls and resource usage. Set hard spending limits and rate caps.

Monitor agent behavior

Log all actions taken by agents built with Goclaw. Use observability tools to detect anomalous behavior patterns that could indicate prompt injection or logic errors.

Test with adversarial inputs

Before deploying Goclaw-based agents in production, test with adversarial prompts designed to bypass guardrails and cause unintended actions.

Scope agent permissions tightly

Each agent should have the minimum permissions required. Never give an agent root access, admin credentials, or unrestricted API keys.

Situations That Warrant 독립적 Review of Goclaw

Nerq's signals are one input. In the following situations, evaluate Goclaw's measured signals against your own requirements before making a decision:

For each situation, compare Goclaw's measured trust score of 69.1/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Goclaw is suitable for any particular use.

How Goclaw Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent frameworks, the average Trust Score is 65/100. Goclaw's score of 69.1/100 is above the category average of 65/100.

This positions Goclaw favorably among agent frameworks. While it outperforms the average, there is still room for improvement in certain trust 차원.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 보통 in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Goclaw and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or 유지보수 patterns change, Goclaw's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to 보안 and quality. Conversely, a downward trend may signal reduced 유지보수, growing technical debt, or unresolved vulnerabilities. To track Goclaw's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=goclaw&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — 보안, 유지보수, 문서화, 규정 준수, and community — has evolved independently, providing granular visibility into which aspects of Goclaw are strengthening or weakening over time.

Goclaw vs 대안

In the agent_framework category, Goclaw scores 69.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Goclaw은(는) 안전한가요?
goclaw Nerq 신뢰 점수 69.1/100 (C). 가장 강력한 신호: 규정 준수 (84/100). 보안 (0/100), 유지보수 (1/100), 인기도 (1/100), 문서화 (1/100) 기반 점수.
Goclaw의 신뢰 점수는?
goclaw: 69.1/100 (C). 보안 (0/100), 유지보수 (1/100), 인기도 (1/100), 문서화 (1/100) 기반 점수. Compliance: 84/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=goclaw
Goclaw의 더 안전한 대안은?
Agent Framework 카테고리에서, higher-rated alternatives include hashbrown (68/100), liquidos-ai/AutoAgents (72/100), baidu-baige/LoongFlow (76/100). goclaw scores 69.1/100.
Goclaw의 보안 점수는 얼마나 자주 업데이트되나요?
Nerq recomputes Goclaw's trust score as new data becomes available. Current: 69.1/100 (C). API: GET nerq.ai/v1/preflight?target=goclaw
규제 환경에서 Goclaw을 사용할 수 있나요?
Goclaw: 69.1/100 (C). Compliance: 43 of 52 관할권s. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

참고 항목

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.

분석 및 캐싱을 위해 쿠키를 사용합니다. 개인정보