CtrlK
BlogDocsLog inGet started
Tessl Logo

personal-ai-operations-review

对已进入 OPERATIONS MODE 的 Personal AI / DSH 基础设施做只读运维复查:聚合 governance、durability、aic drift、proposal、memory/model/routing 与 personalization 行为监控(纠正率/重复纠正/选择泄漏),区分 NO ACTION、REVIEW、ACTION REQUIRED 与 EXTERNAL BLOCKER;用于日常健康检查、异常复盘、升级前检查,或用户询问“系统现在健康吗/需要管什么/AI 最近是不是又变难用了/个性化有没有退化”时。默认不修改 canonical,不为变绿而静默修复。

71

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, mostly executable operations runbook with a clear numbered workflow and a strong read-only safety boundary. It is concise and actionable, with only minor gaps in exact command coverage and feedback-loop explicitness.

Suggestions

Give step 5 (Governance/Proposals) explicit invocations for capability_gov.py and static_gov.py instead of just naming the files, matching the precision of the other steps.

Add an explicit fail→classify→retry note for check-script failures (not found / permission / sandbox / timeout) so the workflow's handling of OBSERVABILITY_EVIDENCE_LIMITATION is a visible feedback loop rather than only described in the contract.

Reduce repetition between the 核心契约 classification rules and the 工作流程 steps by cross-referencing the contract from the workflow instead of restating status/evidence_state semantics.

DimensionReasoningScore

Conciseness

Dense and mostly operational, assuming infrastructure knowledge rather than re-explaining concepts; minor repetition between the core-contract section and the workflow could be tightened. Not a 5 because the contracts restate classification logic already implied by the workflow.

4 / 5

Actionability

Provides concrete executable commands (aic validate, aic diff <target>, rpo_check.py --json, personalization_status.py --json) and an output template; step 5 only names capability_gov.py / static_gov.py without exact invocations, leaving a minor gap.

4 / 5

Workflow Clarity

Clear numbered 7-step sequence with the Evidence Freshness contract and Overall Action Resolver acting as validation/checkpoint logic; read-only scope means the destructive-cap does not apply, but no explicit feedback (fail→fix→retry) loops are present.

4 / 5

Progressive Disclosure

Well-sectioned (~120 lines) with one-level-deep inline references to real bundle scripts in scripts/ (personalization_status.py, behavior_metrics.py, extract_user_msgs.py); organization is good but references are inline path mentions rather than formally signaled 'See X for details' links.

4 / 5

Total

16

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly specific, well-triggered description that clearly states both what the skill does and when to invoke it, with concrete natural-language user phrases and a distinct read-only operations niche. No vagueness, over-claims, or voice issues.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions across domains (聚合 governance、durability、aic drift、proposal、memory/model/routing、personalization 行为监控 with 纠正率/重复纠正/选择泄漏) and a four-tier classification (NO ACTION/REVIEW/ACTION REQUIRED/EXTERNAL BLOCKER), giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers 'what' (只读运维复查 aggregating the listed domains and classifying into four action tiers) and 'when' (用于日常健康检查、异常复盘、升级前检查,或用户询问…时) with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural user phrasings such as '系统现在健康吗/需要管什么/AI 最近是不是又变难用了/个性化有没有退化' alongside operational triggers (日常健康检查/异常复盘/升级前检查), covering synonyms and common variations.

5 / 5

Distinctiveness Conflict Risk

Scoped to OPERATIONS MODE Personal AI / DSH infrastructure read-only review with a distinct trigger set and explicit non-mutation boundary, minimizing overlap with other skills; uses third-person voice.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 2 missing, 2 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
ooooooooooooooooooop/agent-tools
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.