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cheat-trends

从配置的热点源(HN / Reddit / YouTube trending / B 站热门 / 等)抓今天的热门话题,去重 + 粗打分 + 写入 candidates.md。**绝大部分人没有候选池——这是让"我没素材"问题在 onboarding 第二步就消失的钥匙**。触发词:"抓热点"/"fetch trends"/"今天有什么可做的"/"trending now"/"找选题"。

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/cheat-trends/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 skill body is a well-structured orchestrator: clear phase sequencing, graceful failure handling, and concrete data formats. Its weakness is that key execution details (adapter fetch interfaces, the 7-dimension scoring rubric) live in external files that are not present in this bundle, leaving the actionable core partly unexecutable as written.

Suggestions

Inline or excerpt the 7-dimension rough-scoring criteria in Phase 4 (or a minimal version of them) so the inline scoring step does not depend on an external /cheat-score skill the reader cannot see.

Provide at least one fully implemented adapter example (e.g. the manual-paste fetch and parsing logic) in the bundle, since every fetch mechanism is currently delegated to non-existent files.

Add an explicit verification step in Phase 6 (e.g. re-read candidates.md and confirm appended ids) and drop the duplicate Overview ASCII flow, which repeats the Workflow phases.

DimensionReasoningScore

Conciseness

The body is dense with project-specific operational detail Claude cannot infer (state files, adapters, cache format) with little concept explanation, matching the 'efficient; minor instances of over-explanation' anchor. Not 5 because the Overview ASCII flow repeats the Workflow phase list, and the Phase 1-2 adapter table mostly restates 'read the adapter .md' per row.

4 / 5

Actionability

There are concrete specifics (sha256-based dedupe id, jsonl record schema, example output table), but Phase 0 is explicitly marked 伪代码, the 7-dimension scoring rubric is referenced but never defined, and all fetch interfaces are delegated to adapter docs that do not exist in this bundle — matching the 'some concrete guidance but incomplete; pseudocode… missing key details' anchor. Not 4 because the missing pieces are central to execution, not minor.

3 / 5

Workflow Clarity

Phases 0-7 are clearly sequenced with a user-confirmation checkpoint (Phase 5), per-adapter graceful degradation with reporting, and an explicit all-sources-failed error path with troubleshooting guidance, matching anchor 4. Not 5 because there is no verification step after writing to candidates.md and trends-history.jsonl.

4 / 5

Progressive Disclosure

References (candidate-schema.md, adapters/trend-sources/*.md, adapters/HOWTO.md) are clearly signaled in an Inputs table and inline links and are one level deep, matching the 'good structure; most content appropriately placed' anchor. Not 5 because no bundle files exist in the skill directory — the referenced paths point outside it and the adapter docs are explicitly unimplemented ('待批次 3 实现').

4 / 5

Total

15

/

20

Passed

Description

83%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: concrete actions, a named output file, and an explicit bilingual trigger list that satisfies both the 'what' and 'when' requirements in third-person voice. Its main weakness is a bolded marketing sentence that pads rather than describes capability.

DimensionReasoningScore

Specificity

Lists several concrete actions (抓取热点、去重、粗打分、写入 candidates.md) with named sources (HN / Reddit / YouTube trending / B 站热门), matching the 'several specific actions; minor gaps' anchor. Not 5 because the bolded marketing claim ('绝大部分人没有候选池——这是…钥匙') is over-claiming fluff that adds no capability, and default behavior is not stated.

4 / 5

Completeness

Clearly answers both what (抓取/去重/粗打分/写入 candidates.md) and when via an explicit trigger-word clause ('触发词:…'), which is equivalent to a 'Use when…' clause with concrete trigger phrases. Voice is third person, so no penalty applies.

5 / 5

Trigger Term Quality

Explicit bilingual trigger list ('抓热点'/'fetch trends'/'今天有什么可做的'/'trending now'/'找选题') gives good natural-keyword coverage, matching anchor 4. Not 5 because common variations like '热点话题', 'trending topics', or '今天热点' are missing.

4 / 5

Distinctiveness Conflict Risk

The trending-topics-to-candidates niche with its trigger phrases is mostly distinct from other skills, matching anchor 4. Not 5 because '今天有什么可做的' is broad enough to overlap with general planning/status skills.

4 / 5

Total

17

/

20

Passed

Validation

81%

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

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 4 suspicious

Warning

Total

13

/

16

Passed

Repository

XBuilderLAB/cheat-on-content

Path

skills/cheat-trends/SKILL.md

Reviewed

Table of Contents

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