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cxas-loss-analysis Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/cxas-loss-analysis/Audit

Skill audit report

cxas-loss-analysis Audit report.

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EXPERIMENTAL · REVIEWNeeds reviewGenerated Sep 17, 2026Heuristic metadata audit

75

Audit

66

Trust

66

Quality

75

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

66

Manual review

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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Trust

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OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

95 GitHub stars

Stars/forks activity

WARN

53

95 stars, 82 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

13d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

70

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

64

command execution surface, network or browser surface

Install availability

PASS

92

npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-loss-analysis

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-loss-analysis

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 12 Needs review

Install path

92

PASS

npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-loss-analysis

Repository

88

PASS

https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-loss-analysis

License

86

PASS

Apache-2.0

Maintenance

100

PASS

13d since push

AI review

55

CHECK

The fetch_losses.py script imports yaml but does not use it, which is a minor code cleanliness issue.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

shell or command execution, filesystem or document access

Stars/forks activity

53

FIX

95 stars, 82 forks; issue activity unavailable in current metadata

Adoption

68

INFO

95 GitHub stars

Warnings

Permission surface may require sandboxing
The fetch_losses.py script imports yaml but does not use it, which is a minor code cleanliness issue.
The SKILL.md excerpt is truncated, but the provided content is comprehensive; ensure the full document is consistent.
Quality score needs review
Permission surface needs review: shell or command execution, filesystem or document access
GitHub adoption: 95 GitHub stars
Stars/forks activity: 95 stars, 82 forks; issue activity unavailable in current metadata
Permission surface: shell or command execution, filesystem or document access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-loss-analysis

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 75/100
Quality: 66/100
Trust: 66/100
Install safety: 92/100
Permission surface: 48/100
Maintenance: 13d since push
Events: No events yet
GitHub stars: 95
Last push: Sep 3, 2026

Agent safety v2

47/100 · Avoid automatic install

Experimentalreview

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

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

High-risk permission hints: Shell or command execution
47/100 agent safety score

Shell or command execution

high

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

Network access

medium

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

Filesystem access

medium

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

High-risk permission hints: Shell or command execution
Permission surface may require sandboxing

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