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

85%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

81%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.

The body is a well-structured, mostly lean operations runbook with concrete commands, clear sequencing, explicit validation/classification checkpoints, and a read-only safety boundary. The main gap is that governance/proposal/durability detail is inlined rather than delegated to reference files, and a couple of script invocations lack exact paths.

Suggestions

Give exact invocation paths for capability_gov.py and static_gov.py (and the inbox proposal check) so every workflow step is copy-paste executable.

Move the detailed per-domain contracts (Evidence Freshness, Durability cause taxonomy, Overall Action Resolver) into a short referenced file, keeping SKILL.md as a lean overview with one-level-deep links.

Dimension	Reasoning	Score
Conciseness	The body is largely efficient and assumes Claude's competence (contracts, classification rules, command snippets without basic concept explanations), but the detailed contract sub-sections and example report add some length that could be trimmed slightly.	4 / 5
Actionability	It provides concrete executable commands (personal_status.py, aic validate, aic diff <target>, rpo_check.py --json, personalization_status.py --json) with specific flags and per-target coverage; minor gaps are that several referenced governance scripts (capability_gov.py, static_gov.py) are named without exact invocation paths.	4 / 5
Workflow Clarity	The numbered workflow is clearly sequenced with explicit evidence-state and cause-aware classification as validation checkpoints, an Overall Action Resolver that gates ACTION REQUIRED on current verified evidence, and a read-only safety boundary; destructive/batch handling is explicitly controlled.	5 / 5
Progressive Disclosure	Structure is good with well-labeled sections and a real one-level-deep bundle (scripts/personalization_status.py referenced by an executable path, and the file exists in ./scripts); however most detail is inlined in SKILL.md rather than split into separate reference files, so it is not a clean 5.	4 / 5
	Total	17 / 20 Passed

Description

88%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.

The description is strong: it states concrete capabilities, explicit use-when triggers with natural user phrasings, and a distinct read-only operations niche. Third-person voice is maintained throughout, with no over-claims. Minor room for improvement in synonym/extension coverage and tightening the long sentence.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete operations (aggregate governance, durability, aic drift, proposal, memory/model/routing, personalization monitoring with correction rate/repeat correction/selection leakage) and concrete classification outcomes (NO ACTION/REVIEW/ACTION REQUIRED/EXTERNAL BLOCKER), giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	It explicitly answers 'what' (read-only ops review aggregating the listed domains and classifying into the four action buckets) and 'when' (daily health checks, anomaly post-mortems, pre-upgrade checks, and the quoted user questions), both with concrete trigger phrases.	5 / 5
Trigger Term Quality	It includes several natural user-facing 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') plus routine-use triggers; it misses some synonym variations and file extensions, but covers the most natural things a user would actually say.	4 / 5
Distinctiveness Conflict Risk	The OPERATIONS MODE scoping, read-only/canonical-mutation boundaries, and personalization behavior-monitoring niche make it clearly distinct from a building/design skill; minor overlap risk with general governance/durability skills keeps it just below 5.	4 / 5
	Total	18 / 20 Passed

Validation

93%

Warnings & errors only

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

Criteria	Description	Result
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
Commit: 3677cfc

Reviewed: ~7 hours ago

Table of Contents

Discovery Implementation Validation

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