What does this skill do, and when should you use it?
ADHX is an Agent Skill from the itsmemeworks/adhx repository that converts x.com, twitter.com, or adhx.com post links into structured JSON. It calls a public ADHX API endpoint and returns the tweet text, author profile, timestamp, engagement metrics, and the full Markdown content of long-form X Articles. The whole workflow is a single curl command with no authentication and no local dependencies. It suits any agent workflow that needs to read, summarize, or analyze X content.
Parses a shared X/Twitter URL to extract the username and statusId (supporting x.com/{user}/status/{id}, twitter.com/{user}/status/{id}, and adhx.com/{user}/status/{id} formats), then fetches https://adhx.com/api/share/tweet/{username}/{statusId} with curl. The JSON response contains text, author (name, username, avatar), createdAt, engagement (replies, retweets, likes, views), and — for long-form posts — an article object with title, preview text, cover image, and full Markdown content including inline image references, which the model uses for summarizing, analysis, or key-point extraction.
- A user pastes an X link in chat and wants the agent to read and summarize the tweet directly, without opening a browser.
- Analyzing the full body of an X Article: the API's article.content field provides complete Markdown with image references.
- Research or monitoring workflows that need a tweet's engagement numbers (likes, retweets, views) as quantitative input.
- Quickly extracting key points and author context from a tweet for a report or group chat reply.
- A lightweight alternative for agents that cannot run headless browsers but still need to read X content.
How do you install this skill?
- The skill depends entirely on the third-party adhx.com API, which may change, rate-limit, or shut down; it is also the sole core dependency and its reachability from mainland China is unverified — test before relying on it.
- Tweet content is relayed through adhx.com servers; avoid using it with sensitive links, and note the documented response schema is unverified and actual fields may differ.
- This was a static review with no execution; scores are based on source files only and do not constitute empirical evidence of API behavior.
- Shell / CLI
- Network access
curl
Claude Code: run /plugin marketplace add itsmemeworks/adhx, then /plugin install adhx. Other skills-compatible agents (Cursor, Gemini CLI, Codex, Copilot):
mkdir -p "$HOME/.cursor/skills/adhx" && curl -sL https://raw.githubusercontent.com/itsmemeworks/adhx/main/skills/adhx/SKILL.md -o "$HOME/.cursor/skills/adhx/SKILL.md"
(Adjust SKILLS_DIR to wherever your agent looks for skills.)
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/itsmemeworks/adhx.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/skills/adhx" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Summarize this post https://x.com/dgt10011/status/2020167690560647464
When a user shares an X/Twitter link, extract {username} and {statusId} from the URL path and run:
curl -s "https://adhx.com/api/share/tweet/{username}/{statusId}"
Then answer the user's question from the returned JSON. Example prompt: "Summarize this post https://x.com/dgt10011/status/2020167690560647464". If the API errors or returns empty, tell the user the post may not be available.
What are this skill's strengths and limitations?
- No authentication required — a single curl call with near-zero setup cost.
- Returns clean structured JSON including the full Markdown of long-form X Articles, far better suited to LLMs than page scraping.
- Handles x.com, twitter.com, and adhx.com link formats.
- The skill is just a SKILL.md instruction file with no local scripts, so it is highly portable.
- Fully dependent on the third-party adhx.com API; its rate limits, uptime, and terms are not documented in the source.
- Covers only X/Twitter content — the broader ADHX app also supports Instagram, TikTok, and YouTube Shorts, but the skill exposes no such capability.
- No SLA on quota or stability; on failure the only recourse is telling the user the post is unavailable.
- Accuracy and refresh behavior of engagement metrics (e.g., view counts) are unverified in the documentation.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| ADHX — X/Twitter Post Reader this page | 51 · Use with care | ★ 19 | 1mo ago | MIT |
| BoTTube Skill | 45 · Not recommended | ★ 367 | 17d ago | MIT |
| cuOpt REST Server Deployment & Python Client ✓ NVIDIA · Official | 45 · Not recommended | ★ 3.6k | 11d ago | Apache-2.0 |
| Hugging Face API Tool Builder | 41 · Not recommended | ★ 11k | 17d ago | Apache-2.0 |
| Man Page Single-Page Lookup | 48 · Use with care | ★ 15k | 25d ago | MIT |
How did FollowSkills review this skill?
The skill only calls a public adhx.com API via curl — no auth, no credentials, no local writes; the data flow (only username/statusId from a tweet URL) is clearly disclosed, with no red-line risk. Deducted: content is relayed through a third-party server whose retention policy is not addressed at the skill level; no rollback or failure-recovery mechanism.
The workflow (parse URL → curl → use JSON) is self-consistent, with a response schema and basic error guidance ('inform the user if the API errors or returns empty'). Deducted: repo tests (config/processor) do not cover the skill's API path; schema authenticity, missing fields, timeouts and rate limits are unverified and failure feedback is thin.
Trigger conditions are clear (user shares an x.com/twitter.com/adhx.com link to read/summarize), with a URL-format table and examples. Deducted: no declared availability or SLA for the third-party adhx.com API; X content itself is not directly reachable from mainland China and adhx.com reachability is unverified; non-fit cases (protected/deleted posts) are undeclared.
SKILL.md is well structured with metadata source link, schema, example and notes; the repo has an MIT license, release-please versioning and maintenance signals. Deducted: the skill itself carries no version or changelog, the response schema is a unilateral author claim, and API usage limits are undocumented.
The core task (turning a tweet link into structured JSON for LLM analysis) is direct and the command is executable, with clear marginal value over manual scraping. Deducted: static review cannot confirm the live API matches the documented schema; dependency on a third-party service risks shutdown or rate limiting, and output-quality evidence is limited.
Auditable primary material exists (SKILL.md, README, CI, tests) with reasonable fact/inference separation. Deducted: the repo's CI and tests do not exercise the skill's API key path, there is no third-party execution evidence, and schema correctness rests entirely on author claims — not independently reproducible.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →