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cross-channel-history-retrieval

跨会话检索聊天原文(记忆不足时再用)。在回答任何关于历史事件、日期、人物、过去对话的问题时,如果记忆中没有相关信息或不足以回答,则需要使用跨会话检索聊天原文。用 mcp_exec_command 执行 scripts/search_history.py,读 ~/.jiuwenclaw/agent/sessions/*/history.json。支持 channel、session_id、关键词、时间窗。如果搜索结果不足,尝试用不同的关键词再次搜索。

79

Quality

100%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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 tight, well-structured overview: an executable command with a complete parameter reference, a clear time-strategy fallback sequence, and a numbered post-processing workflow with a no-hit recovery loop. The single referenced script bundle exists and references stay one level deep.

DimensionReasoningScore

Conciseness

The body is lean — trigger bullets, one executable command, a compact parameter list, a 4-step time strategy, and 3 short post-processing steps — with no padding about concepts Claude already knows; the Windows note is load-bearing cross-platform detail rather than fluff.

3 / 3

Actionability

Provides a fully executable, copy-paste-ready command ('python ~/.jiuwenclaw/.../search_history.py --channel feishu --query ... --start ... --end ... --limit 30') plus a complete parameter list with defaults, matching the 'fully executable code/commands' anchor.

3 / 3

Workflow Clarity

Multi-step post-processing is explicitly sequenced and includes a feedback loop (retry with different keywords / auto-expand time window when no hits), satisfying the clear-sequence-with-recovery anchor; the task is read-only so heavy validation is not required.

3 / 3

Progressive Disclosure

The body is a well-organized single-level overview referencing the one real bundle file (scripts/search_history.py, confirmed present), with no nested references — fitting the clear-overview, one-level-deep anchor for a compact single-purpose skill.

3 / 3

Total

12

/

12

Passed

Description

100%

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 concisely states both what the skill does (cross-session chat-history retrieval via a specific script and path) and when to use it (memory insufficient for history/date/person/past-conversation questions). It is specific, uses natural trigger terms, and occupies a clear niche with low conflict risk.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — '用 mcp_exec_command 执行 scripts/search_history.py', '读 ~/.jiuwenclaw/agent/sessions/*/history.json', '支持 channel、session_id、关键词、时间窗', retry with different keywords — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both 'what' (executes search_history.py over session history.json, supports channel/session/keyword/time filters) and 'when' ('在回答任何关于历史事件...如果记忆中没有相关信息或不足以回答,则需要使用'), with an explicit trigger clause.

3 / 3

Trigger Term Quality

Covers natural user-facing terms — '历史事件、日期、人物、过去对话' — that a user would actually mention when needing this skill, plus the '记忆不足' condition, giving good coverage of natural trigger phrasings.

3 / 3

Distinctiveness Conflict Risk

The distinct '记忆不足时再用' trigger and specific tool/path niche make it clearly distinguishable and unlikely to fire for an unrelated skill.

3 / 3

Total

12

/

12

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
XiaoLuoLYG/GOD
Reviewed

Table of Contents

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