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x-twitter-scraper

X (Twitter) data platform skill — tweet search, user lookup, follower extraction, engagement metrics, giveaway draws, monitoring, webhooks, 19 extraction tools, MCP server.

56

Quality

64%

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 ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/x-twitter-scraper/SKILL.md

The canonical home for this skill is x-twitter-scraper in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

53%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 well-structured and gives a usable overview with concrete setup steps, but it is held back by capability redundancy, missing executable API request examples, and absent validation checkpoints for batch operations.

Suggestions

Add at least one executable API request example (e.g., a curl call to /x/tweets/search with the auth header and query params) and show request bodies for key POST endpoints.

Insert a validation step after setup, such as a test call to /account to confirm the API key works before proceeding.

Consolidate the capability lists so each capability appears in one canonical place rather than being restated across Overview, When to Use, Capabilities, and Examples.

DimensionReasoningScore

Conciseness

Mostly efficient tables and lists, but the same capabilities are restated across the description, Overview, When to Use, Capabilities table, and Examples — redundancy that could be tightened.

3 / 5

Actionability

Install and env-var setup are concrete and executable, but the core API usage offers only an endpoint table and natural-language prompt examples with no actual request/response code or POST bodies for endpoints like /extractions, /draws, /monitors, /webhooks.

3 / 5

Workflow Clarity

Setup is sequenced but lacks a validation checkpoint (e.g., a test call to confirm the API key), and batch operations like bulk extraction and giveaway draws show no verification step — capping workflow clarity at 3.

3 / 5

Progressive Disclosure

Well-organized into clear sections (Overview, When to Use, Setup, Capabilities, Examples, API Reference, Repository) with no nested references and compact tables, though the body exceeds 50 lines.

4 / 5

Total

13

/

20

Passed

Description

75%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 specific and distinct, clearly conveying what the skill does across many X/Twitter capabilities. Its main weakness is the absence of an explicit 'when to use' trigger clause, which caps completeness.

Suggestions

Add an explicit 'Use when...' clause naming concrete trigger phrases (e.g., 'Use when the user wants to search X/Twitter, extract followers, run a giveaway, or monitor an account').

Include a few natural synonyms users would actually say, such as 'scrape Twitter', 'find tweets', or 'pull followers', to broaden trigger coverage.

DimensionReasoningScore

Specificity

Lists many concrete actions — 'tweet search, user lookup, follower extraction, engagement metrics, giveaway draws, monitoring, webhooks, 19 extraction tools, MCP server' — giving comprehensive coverage rather than vague abstraction.

5 / 5

Completeness

The 'what' is clear, but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Good natural-term coverage ('tweet search', 'follower extraction', 'giveaway draws', 'monitoring', 'webhooks'), but missing common synonyms like 'scrape' or 'find tweets' and any extension-type tokens.

4 / 5

Distinctiveness Conflict Risk

An 'X (Twitter) data platform' niche with capability-specific triggers (giveaway draws, follower extraction, webhooks) is clearly distinct with minimal conflict risk against other skills.

5 / 5

Total

17

/

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.

Validation15 / 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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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