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adhx

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

63

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/adhx/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%Scale 1-5

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

A solid skill that provides clear, actionable guidance for fetching X/Twitter posts via the ADHX API. The core content (endpoint, URL patterns, schema, examples) is well-structured and executable. Main weaknesses are moderate verbosity from unnecessary sections (Overview justification, When to Use, Installation) and some redundancy between Best Practices and the workflow itself.

Suggestions

Remove or significantly trim the 'Overview', 'When to Use This Skill', and 'Installation' sections — these are meta-information that doesn't help Claude execute the task

Consolidate 'Best Practices' and 'Notes' into the workflow or remove them, as most points are either obvious or already covered elsewhere

DimensionReasoningScore

Conciseness

The skill includes some unnecessary sections like 'Overview' explaining why the API is superior, 'When to Use This Skill' listing obvious triggers, 'Best Practices' repeating what's already clear from the workflow, and 'Installation' which is meta-information not needed for execution. The core content (endpoint, URL patterns, workflow, schema) is efficient, but the padding around it is noticeable.

3 / 5

Actionability

Provides concrete curl commands, clear URL parsing patterns with a table, and specific examples showing the full flow from user input to API call. Minor gap: no example of handling the response JSON or error cases in code, but the guidance is mostly executable.

4 / 5

Workflow Clarity

The 3-step workflow is clear and well-sequenced (parse URL → fetch JSON → use response). For this simple, non-destructive single API call, explicit validation isn't critical. However, error handling is only mentioned in passing in 'Notes' rather than integrated into the workflow steps, which is a minor gap.

4 / 5

Progressive Disclosure

Content is well-structured with clear sections and a logical flow from overview to details. For a skill with no bundle files, the organization is appropriate. The response schema and examples are well-placed. Minor issue: some sections (Best Practices, Notes) could be consolidated, and the Installation section feels out of place in a skill body.

4 / 5

Total

15

/

20

Passed

Description

82%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.

This is a strong description with excellent specificity, natural trigger terms, and clear distinctiveness. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know exactly when to select this skill. The concrete domain names and output format details are particularly effective for disambiguation.

Suggestions

Add a 'Use when...' clause such as 'Use when the user shares an x.com, twitter.com, or adhx.com link, asks to fetch a tweet, or wants to extract data from a Twitter/X post.'

DimensionReasoningScore

Specificity

Lists multiple concrete actions and outputs: fetching posts, converting links into structured JSON with full article content, author info, and engagement metrics. Also specifies what's NOT needed (no scraping or browser).

5 / 5

Completeness

The 'what' is very clearly stated (fetch Twitter posts as JSON with structured data). However, there is no explicit 'Use when...' clause or equivalent trigger guidance, which caps this dimension at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Excellent coverage of natural trigger terms including 'X/Twitter', 'x.com', 'twitter.com', 'adhx.com', 'post', 'JSON', 'tweet' (implied via Twitter). Includes actual URL domains users would paste, which are strong natural triggers.

5 / 5

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: specifically X/Twitter post fetching. The mention of specific domains (x.com, twitter.com, adhx.com) and the output format (LLM-friendly JSON) make it very unlikely to conflict with other skills.

5 / 5

Total

18

/

20

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.

Validation10 / 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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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