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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。

Quality

89%

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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 strong, disciplined operations skill: mostly executable commands, an honest evidence-freshness contract, and a clear read-only safety boundary. The main shortfalls are modest: some redundancy across contract/safety sections, two workflow steps without concrete commands, and a contract block that could be split into a reference file.

Suggestions

Give step 5 (Governance/Proposals) concrete commands for capability_gov.py, static_gov.py, and reading proposal inbox, matching the specificity of steps 2–4 and 6.

Consolidate the repeated evidence-freshness rules (契约 §1, §2, and step 6) into a single statement, and merge overlapping items between 不适用 and 安全边界 to trim tokens.

Move the detailed 核心契约 section into a references/ file and briefly mention the bundle's helper scripts (behavior_metrics.py, extract_user_msgs.py) so all bundle files are discoverable from SKILL.md.

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's competence — no generic concept explanations — and its content (evidence-state semantics, dataset-specific durability codes, the four-way action resolver) is system-specific knowledge Claude could not infer. However, the LAST_KNOWN/CURRENT discipline is stated three times (契约 §1, §2, and again in step 6) and 不适用 overlaps 安全边界, so minor trimming would earn level 5; it is well above level 3's 'noticeable padding'.

4 / 5

Actionability

Most steps ship executable commands — "python scripts/governance/personal_status.py", "aic validate", "aic diff <target>", "python scripts/durability/rpo_check.py --json", and the verified "python skills/personal-ai-operations-review/scripts/personalization_status.py --json" — plus a concrete output report template. Minor gaps keep it at level 4: step 5 says only "检查 capability_gov.py 与 static_gov.py" and "检查 inbox open proposals" without invocation commands, and step 1 gives no concrete method for locating the repo root.

4 / 5

Workflow Clarity

The 7-step sequence is clearly ordered with per-domain status/evidence_state recording, an explicit failure path ("命令或路径不存在时标 UNKNOWN,先搜索仓库实际入口;不要凭旧报告猜路径"), and the action-resolver contract acting as a decision checkpoint. It sits at level 4 rather than 5 because the report-template checkpoint shows placeholder alternates (e.g. "HEALTHY / UNKNOWN") instead of explicit rules tying each domain result to the overall verdict, and step 5 lacks commands; the skill is read-only, so the destructive-cap rule does not apply.

4 / 5

Progressive Disclosure

Sections are well organized (适用范围/不适用/核心契约/工作流程/安全边界), the body stays at overview altitude, and the one referenced bundle script (scripts/personalization_status.py) is real and correctly pathed with behavior_metrics.py/extract_user_msgs.py as its helpers — no nested references. It scores 4 rather than 5 because the ~40-line 核心契约 block is inline material that could live in a references file for a >100-line SKILL.md, and the body never mentions the two auxiliary bundle scripts or how they relate.

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.

An excellent description: concrete capabilities, a well-defined niche, explicit read-only scope, and verbatim natural-language trigger questions that answer both 'what' and 'when'. Third-person voice, no fluff or over-claims.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions with comprehensive coverage of its scope: "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)" and "区分 NO ACTION、REVIEW、ACTION REQUIRED 与 EXTERNAL BLOCKER", naming specific metrics and outcome classes. It matches the level-5 anchor (multiple specific concrete actions, comprehensive) and is clearly above level 4, which would require notable gaps in coverage.

5 / 5

Completeness

It explicitly answers both questions: 'what' (read-only ops review aggregating the six domains and classifying into four action outcomes) and 'when' (daily health checks, incident retrospectives, pre-upgrade checks, or when the user asks the quoted trigger questions), with a stated non-goal ("默认不修改 canonical"). This is the level-5 anchor (clear and explicit what AND when with concrete trigger phrases), above level 4's weaker 'when'.

5 / 5

Trigger Term Quality

It embeds verbatim natural user phrasings — "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 scenario triggers (日常健康检查、异常复盘、升级前检查) and domain keywords (aic drift、个性化、纠正率). This is comprehensive natural-term coverage including synonyms, matching the level-5 anchor rather than level 4's 'a few natural terms missing'.

5 / 5

Distinctiveness Conflict Risk

The description is tightly scoped to "已进入 OPERATIONS MODE 的 Personal AI / DSH 基础设施" — a clear niche with distinct triggers (operational review of this specific infrastructure), and its stated defaults (read-only, no silent fixes) further separate it from build/repair skills. Minimal conflict risk, matching the level-5 anchor.

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.

Validation — 15 / 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

Path

skills/personal-ai-operations-review/SKILL.md

Reviewed

Table of Contents

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