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publish-and-reuse

Personal AI Infrastructure 多设备生命周期同步总入口:一句“同步一下我的 Personal AI”自动判断 PULL/MERGE/NO ACTION/REVIEW/BLOCKED(AUTO_SYNC),覆盖 personal-ai、personal-ai-private(curated + Dynamic Memory 合并)、项目仓库、runtime refresh 与新设备 Fresh Restore;同时保留 DSH 四层环境上传/更新/体检/复现作为子步骤。只自动处理确定安全的变更,冲突与 dirty 一律留给人工;commit/push 受 canonical ownership lease 与 receipt 约束。

68

Quality

83%

Does it follow best practices?

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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 well-structured, mostly lean body with concrete commands, a clear safety-rule list, and good separation of overview from reference detail. Weakest at inline error-recovery feedback loops and two referenced docs paths that do not exist in the bundle.

Suggestions

Inline a brief validate→fix→retry feedback loop in the 高层工作流 or 安全_rules section rather than delegating it entirely to the reference, since this skill governs destructive/batch git operations.

Remove or create the missing docs/publishing.md and docs/sync-ongoing.md references (the authoritative-detail line) so all body links resolve to real bundle files.

DimensionReasoningScore

Conciseness

Dense and information-packed, assuming Claude's competence (no explanation of git/memory basics), though a few safety-rule sentences are long run-ons that could be tightened without losing meaning.

4 / 5

Actionability

Provides concrete, copy-pasteable commands (python scripts\personal_ai_sync.py check/sync/restore, validate_repo --strict, publish_check.py) and a concrete output-contract example, with only minor gaps in per-mode execution detail.

4 / 5

Workflow Clarity

Sequences the internal pipeline explicitly (fetch → classify → action plan → safe actions → validate → checkpoint) with a dedicated 验证 section and validation gates; error-recovery feedback loops for destructive ops are mostly delegated to the reference rather than stated inline.

4 / 5

Progressive Disclosure

Keeps an overview in the body and externalizes full protocol to references/personal-ai-lifecycle-sync.md (a real one-level-deep file), clearly signaled; the docs/publishing.md and docs/sync-ongoing.md paths referenced in the body are not present in the bundle.

4 / 5

Total

16

/

20

Passed

Description

92%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 strong, specific description that clearly states capability and trigger conditions with comprehensive concrete actions and explicit boundary guidance. The main weakness is the density of internal jargon alongside the natural trigger phrases.

Suggestions

Lead with the natural-language trigger phrase and move internal jargon (AUTO_SYNC, canonical ownership lease) into a trailing clause so the user-natural terms dominate.

Add the common English/colloquial synonyms a user might say (e.g. "sync my Personal AI", "back up my environment") alongside the Chinese triggers.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — auto-classify into PULL/MERGE/NO ACTION/REVIEW/BLOCKED, cover multiple repos, curated+Dynamic Memory merge, runtime refresh, Fresh Restore, and DSH 四层 upload/update/check/reproduce as substeps, bounded by ownership lease/receipt — comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what (multi-device lifecycle sync entry point) and when (triggered by a single "同步一下我的 Personal AI" phrase) with concrete trigger phrasing.

5 / 5

Trigger Term Quality

Contains the natural phrase "同步一下我的 Personal AI" plus several synonym triggers, but these are intermixed with heavy internal jargon (AUTO_SYNC, canonical ownership lease, DSH) rather than purely user-natural terms.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Personal AI Infrastructure lifecycle sync) with distinct triggers and explicit not_for boundaries, minimizing conflict with adjacent skills.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

14

/

16

Passed

Repository
ooooooooooooooooooop/agent-tools
Reviewed

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