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apify-trend-analysis

Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/apify-trend-analysis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

81%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 a tight, well-structured operational guide: a five-step workflow with explicit pre-paid-run validation and charge-safety checkpoints, concrete command templates, and a dense but useful actor selection table. Its main weaknesses are minor: unresolved placeholders in commands and a referenced script missing from the provided bundle.

DimensionReasoningScore

Conciseness

The body is dense and efficient — a compact actor table, terse error handling, and a one-paragraph Run Boundaries — with no explanation of concepts Claude already knows; only minor trimming targets remain (e.g., generic boilerplate in Limitations such as "Do not treat the output as a substitute for environment-specific validation").

4 / 5

Actionability

Step 4 provides complete, executable command templates for all three output formats (node --env-file=.env ... run_actor.js --actor ... --input ... --output ... --format), but the ACTOR_ID, JSON_INPUT, and <resolved-skill-directory> placeholders leave minor gaps versus copy-paste-ready code.

4 / 5

Workflow Clarity

The five-step workflow includes a copy-paste progress checklist, prerequisite verification before any paid run, schema verification before calls, user confirmation of scope/pricing before launch, and error-recovery guidance (e.g., "Inspect the printed run ID in Console before retrying to avoid duplicate charges") — explicit validation steps, feedback loops, and a checklist.

5 / 5

Progressive Disclosure

Sections are well-organized (Prerequisites, Workflow, Error Handling, Run Boundaries, When to Use, Limitations) and the only reference is a clearly signaled one-level-deep script path, but the referenced reference/scripts/run_actor.js is not present in the provided bundle, leaving a minor navigation gap.

4 / 5

Total

17

/

20

Passed

Description

53%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 clearly states what the skill does and grounds it in specific platforms, but it lacks any "when to use" trigger guidance and misses several natural trigger phrases users would say. It sits at the middle of the rubric: a solid what, a missing when.

Suggestions

Append an explicit trigger clause, e.g. "Use when the user asks about trending topics, hashtags, viral content, or social media trends over a time window or region."

Add natural synonyms users actually say — "trending", "hashtags", "viral", "social media" — to the description to improve trigger-term coverage.

Consider naming one or two additional concrete actions (e.g., comparing search interest or exporting trend data) to raise specificity beyond discover/track.

DimensionReasoningScore

Specificity

Names a clear domain ("across Google Trends, Instagram, Facebook, YouTube, and TikTok") and two concrete actions ("Discover and track emerging trends"), but does not enumerate the fuller capability set (scraping, hashtag metrics, exports, time-window comparisons), matching the anchor for 1-2 concrete actions without comprehensive coverage.

3 / 5

Completeness

The "what" is clear (discover and track emerging trends across five platforms to inform content strategy), but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Natural keywords like "trends", "Google Trends", and the five platform names are present, but common user phrasings such as "trending", "hashtags", "viral", or "social media" are missing, matching the anchor for some relevant keywords without common variations.

3 / 5

Distinctiveness Conflict Risk

The five named platforms and trend-tracking purpose give it a mostly distinct niche with only minor overlap risk against generic content-strategy or social-media skills, though "to inform content strategy" is broad enough to prevent a 5.

4 / 5

Total

13

/

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

sickn33/agentic-awesome-skills

Path

skills/apify-trend-analysis/SKILL.md

Reviewed

Table of Contents

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