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apify-content-analytics

Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.

62

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 ./plugins/antigravity-awesome-skills/skills/apify-content-analytics/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

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

This is a functional, actionable skill with concrete commands and a clear Actor selection table covering multiple platforms. Its main weaknesses are the lack of validation checkpoints in the workflow (e.g., verifying schema fetch results before proceeding), the large inline Actor table that could benefit from being in a separate reference file, and some generic boilerplate in the limitations section. The error handling section is useful but would be stronger if integrated into the workflow as explicit checkpoints.

Suggestions

Add a validation checkpoint after Step 2 (e.g., 'Verify the schema output contains inputSchema before proceeding') and after Step 4 (e.g., 'Check that the output file exists and contains expected data') to create feedback loops for error recovery.

Move the large Actor lookup table to a separate reference file (e.g., ACTORS.md) and keep only a brief summary or the most common 4-5 actors inline, linking to the full table.

Remove the generic limitations section or replace it with skill-specific constraints (e.g., rate limits, maximum results per run, platform-specific restrictions).

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some unnecessary elements: the large Actor table could be more compact, the limitations section contains generic boilerplate advice ('Do not treat the output as a substitute for environment-specific validation'), and the 'When to Use' section partially restates the description. The checklist and workflow steps are mostly lean.

2 / 3

Actionability

Provides fully executable bash commands for every step, concrete Actor IDs in a lookup table, specific CLI flags and options, and clear error handling with specific error messages and fixes. The commands are copy-paste ready with clear placeholder substitution.

3 / 3

Workflow Clarity

The workflow has a clear 5-step sequence with a progress checklist, but lacks validation checkpoints. There's no step to verify the Actor schema was fetched correctly, no validation that the input JSON is well-formed before running, and no feedback loop for retrying failed runs beyond the error handling section which is disconnected from the workflow.

2 / 3

Progressive Disclosure

The skill references scripts at `${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js` but no bundle files are provided to verify these exist. The Actor table is quite large and could be split into a reference file. The content is reasonably structured with clear sections but the monolithic Actor table bloats the main file.

2 / 3

Total

9

/

12

Passed

Description

82%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong description with excellent specificity and natural trigger terms covering both actions and platforms. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know precisely when to select this skill. Adding trigger guidance would elevate this from good to excellent.

Suggestions

Add a 'Use when...' clause such as 'Use when the user asks about social media analytics, engagement rates, campaign performance, or metrics for Instagram, Facebook, YouTube, or TikTok.'

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Track engagement metrics', 'measure campaign ROI', and 'analyze content performance', along with specific platforms (Instagram, Facebook, YouTube, TikTok).

3 / 3

Completeness

Clearly answers 'what does this do' with specific actions and platforms, but lacks an explicit 'Use when...' clause or equivalent trigger guidance, which caps this at 2 per the rubric guidelines.

2 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'engagement metrics', 'campaign ROI', 'content performance', and specific platform names (Instagram, Facebook, YouTube, TikTok) that users would naturally mention.

3 / 3

Distinctiveness Conflict Risk

The combination of social media analytics, specific platforms, and metrics like ROI creates a clear niche that is unlikely to conflict with other skills. The platform-specific focus distinguishes it well.

3 / 3

Total

11

/

12

Passed

Validation

90%

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

Validation — 10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
popey/claude-code-skills
Reviewed

Table of Contents

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