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loop-me

在这个工作区中,就我想构建的工作流规格访谈我。

54

Quality

61%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/in-progress/loop-me/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

78%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 an efficient, well-structured instruction skill with a genuine feedback loop and an unusually sharp definition of done. Its main weakness is that the deliverable itself is underspecified — no example spec, question, or brief format — leaving the agent to guess what 'done' output looks like.

Suggestions

Add a minimal example workflow spec (5-10 lines showing trigger, checkpoint, brief) so the agent knows the concrete shape of the deliverable it is eliciting.

Include one sample interview exchange (question + recommended answer) to make the '每个问题都附推荐答案' directive unambiguous.

Promote the 'if NOTES.md is empty, interview the user's world first' rule into the main flow so the entry-point sequence is explicit rather than buried in the workspace section.

DimensionReasoningScore

Conciseness

The body is lean and dense: it spends zero tokens on concepts Claude already knows, and every section (loop lens, vocabulary, definition of done, workspace) contributes novel framing or directives the model could not infer, matching the 'lean and efficient; every token earns its place' anchor.

5 / 5

Actionability

Process guidance is concrete — "调用 Skill 工具并指定 `grilling`", "一次一个问题、每个问题都附推荐答案" — but key output details are missing: there is no example of what a workflow spec looks like, its file format, or a sample question/brief, leaving the agent to improvise the deliverable. This matches 'some concrete guidance but incomplete; missing key details' rather than the mostly-executable anchor above.

3 / 5

Workflow Clarity

The flow is coherent (run grilling → interview around vocabulary/goal → create/edit/delete specs → done when an implementer needs no questions) and includes an explicit feedback loop ("持续 grilling 到那时;只要还有问题,就不算完成") plus a crisp definition of done. It falls short of 5 because the sequence is implicit rather than laid out, and the initial step ordering (when NOTES.md is thin, interview the user's world first) is buried in the workspace section.

4 / 5

Progressive Disclosure

The skill is under 50 lines, has no bundle files (references/, scripts/, assets/ do not exist), and needs none — all content fits in four well-organized sections with clear headers, which per the rubric's simple-skill guideline earns a 5; the paths it does mention (workflows/*.md, NOTES.md) are real workspace targets, not dangling references.

5 / 5

Total

17

/

20

Passed

Description

45%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 states a clear, single purpose (interviewing the user to produce workflow specs) but is written in first person, lacks any use-when trigger guidance, and offers minimal keyword coverage. It sits at the midpoint of the rubric: unambiguous intent, under-specified triggering and capabilities.

Suggestions

Rewrite the description in third person, e.g. "访谈用户以 eliciting 工作流规格..." style: "Interviews the user to elicit executable workflow specs and records them in workflows/*.md" — this fixes the voice penalty and adds a second concrete action.

Append a trigger clause: "Use when the user wants to design, spec out, or automate a recurring workflow" (使用于用户想设计或规格化某个重复工作流时), which removes the completeness cap at 3 and improves trigger-term coverage.

Include natural synonyms users would actually say — "工作流", "自动化", "spec", "interview me", "design a workflow" — to lift trigger_term_quality and distinctiveness.

DimensionReasoningScore

Specificity

The description names its domain and one concrete action — "就我想构建的工作流规格访谈我" (interview me about the workflow specs I want to build) — which lands at the anchor for naming a domain with minimal actions, but it is written in the user's first person ("访谈我", "我想构建") rather than third person, incurring the rubric's 1-point voice penalty.

2 / 5

Completeness

The 'what' is clear — conduct an interview to elicit workflow specs in this workspace — but there is no 'when' clause or equivalent trigger guidance at all, which per the judging guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

Relevant keywords are present ("访谈" interview, "工作流" workflow, "规格" specs, "工作区" workspace), but common variations and synonyms (e.g. "自动化", "spec", "interview me", "design a workflow") are missing, matching the 'some relevant keywords but missing variations' anchor.

3 / 5

Distinctiveness Conflict Risk

"Interview me about workflow specs" carves out a somewhat specific niche, but the phrasing could overlap with other planning, requirements-gathering, or spec-writing skills, matching the 'somewhat specific but could still overlap' anchor rather than the 'mostly distinct' one, since no distinguishing trigger phrases are given.

3 / 5

Total

11

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
vinvcn/mattpocock-skills-zh-CN
Reviewed

Table of Contents

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