mass-line

触发：当你需要收集多方意见、把零散反馈整合成可执行方案，或把方案带回真实使用者/执行者验证时调用；常见信号包括 stakeholder input、user feedback、意见汇总、对齐与验证。 English: Trigger when input must be gathered from many people, synthesized into a clearer plan, and returned to the affected users or executors for validation. Use this skill for a collect-synthesize-validate loop.

Quality

77%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/mass-line/SKILL.md

Quality

Content

62%

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

The body presents a clear, well-sequenced methodology with explicit validation and feedback loops, plus a concrete operation procedure with an output template. It is weakened by repetitive restatements of the core loop, partly abstract step guidance, and a dangling reference to a non-existent original-texts.md.

Suggestions

Consolidate the collect→synthesize→return→validate→loop explanation into one authoritative section and remove its redundant restatements in 方法流程, 操作规程, and the 常见错误 table.

Create the referenced original-texts.md (or remove the dangling reference) and move the per-step Mao quotes there, keeping SKILL.md as a lean overview.

Tighten the 方法流程 steps with concrete, executable guidance (e.g., specific prompts or checklists) rather than abstract verbs like 归类整理 and 提炼综合.

Dimension	Reasoning	Score
Conciseness	The collect-synthesize-validate loop is restated across 核心原则, 方法流程, 操作规程, and the 常见错误 table, and Mao quotes repeat at each step; the content is skill-specific but could be tightened by deduplicating these restatements.	2 / 3
Actionability	操作规程 provides a concrete output template, named sub-skill (contradiction-analysis), and concrete source categories, but the larger 方法流程 steps remain abstract (归类整理, 提炼综合) rather than executable.	2 / 3
Workflow Clarity	A clear 5-step sequence (收集→集中→返回→检验→再收集) is framed as an explicit loop with validation checkpoints (第四步检验 and 操作规程 step 5 验证闭环) and an error-recovery feedback path.	3 / 3
Progressive Disclosure	Sections are well-organized, but the body references original-texts.md which does not exist as a bundle file, and all ~180 lines of content (including the quotes that belong in that file) are inline rather than split out.	2 / 3
	Total	9 / 12 Passed

Description

92%

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 description that clearly conveys capability and explicit triggers in both Chinese and English, with concrete actions and natural trigger terms. Its main weakness is moderate overlap risk with related feedback-gathering and alignment skills.

Dimension	Reasoning	Score
Specificity	Names multiple concrete actions — gather input from many people, synthesize into a clearer plan, and return it for validation (collect-synthesize-validate loop) — rather than vague language.	3 / 3
Completeness	Explicitly states both what it does (collect-synthesize-validate) and when to use it via 'Trigger when...' / 'Use this skill for...' clauses, so neither what nor when is merely implied.	3 / 3
Trigger Term Quality	Includes several natural signal terms users would actually say (stakeholder input, user feedback, 意见汇总, 对齐与验证), giving good coverage of trigger variations.	3 / 3
Distinctiveness Conflict Risk	The collect-synthesize-validate niche is identifiable, but broad trigger terms like 'user feedback' and '对齐' overlap with general investigation/alignment skills that the body itself references.	2 / 3
	Total	11 / 12 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: HughYau/qiushi-skill
Path: skills/mass-line/SKILL.md
Commit: 6710791

Reviewed: 6 days ago

Table of Contents

Discovery Implementation Validation

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