Skill flagged — suspicious patterns detected

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Agent Effect Operations

v0.0.1

AEO — Agent Effect Operations. Measure agent performance, attribute outcomes, track quality trends, optimize cost, and monitor SLAs across multi-agent system...

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Purpose & Capability
The name and description describe a telemetry/analytics/SLA platform that would normally require data integrations, APIs, storage, and credentials; the package includes none of those (no code, no env vars, no config paths), so the declared purpose is disproportionate to what's provided.
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Instruction Scope
SKILL.md is purely descriptive (Chinese text) and contains no actionable runtime instructions, commands, endpoints, or guidance on how the agent should collect, process, or transmit data. It neither instructs how to access logs nor defines outputs or APIs.
Install Mechanism
No install spec and no code files (instruction-only) — lowest disk/execution risk. Nothing will be written to disk by an installer because there is no install mechanism.
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Credentials
The skill requests no environment variables or credentials, yet the described capabilities (metrics, SLA monitoring, cost optimization) would normally require access to telemetry sources, cloud or logging APIs, or a database. Absence of required creds is inconsistent with the stated functionality.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent presence or modify system/other-skill configs. No elevated privileges are declared.
Scan Findings in Context
[NO_REGEX_FINDINGS] unexpected: The static scanner found nothing because there are no code files to analyze. For a real Agent Effect Operations platform you would expect code, network calls, or credential usage to appear in scans; their absence indicates the package is incomplete or only a placeholder.
What to consider before installing
This package is effectively a descriptive placeholder — it claims to be a full analytics/SLA platform but provides no implementation, integrations, or credentials. Before installing or using it: 1) Ask the author/source for the complete implementation, source code repository, and a clear list of required data sources and credentials; 2) Verify where any binaries would come from and insist on official release URLs if an installer is added; 3) Do not provide any secrets or credentials until you can confirm which specific services the skill will access and why; 4) Treat this as non-functional until the owner supplies code or runtime instructions — it may be a draft, documentation-only entry, or incomplete upload.

Like a lobster shell, security has layers — review code before you run it.

latestvk9795yxa2tgwmta92m71g6twvs855123
11downloads
0stars
1versions
Updated 4h ago
v0.0.1
MIT-0

Agent Effect Operations (AEO)

Agent效果运营平台。度量 Agent 表现、归因效果、追踪质量趋势、优化成本、监控 SLA。

核心能力:

  • 任务级效果归因:每个 Agent 完成的任务与最终业务结果之间的因果链
  • 质量趋势分析:跨时间窗口的 Agent 产出质量变化检测
  • 成本效率优化:token 消耗、任务耗时、重试率的综合成本模型
  • SLA 监控与告警:任务完成率、响应时延、错误率的实时监控
  • 衰退检测与进化触发:发现 Agent 能力衰退时自动触发 KIVO 进化流程

Self-Evolving Harness 三大模块之一(KIVO / 研发流水线 / AEO)。

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