Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add alsk1992/CloddsBot --skill x-researchgit clone --depth 1 https://github.com/alsk1992/CloddsBotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alsk1992/cloddsbot/x-research)<a href="https://agentmods.dev/skills/alsk1992/cloddsbot/x-research"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/x-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alsk1992/cloddsbot/x-research"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/x-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00740 |
| Opus 5 | $0.00010 | $0.00370 |
| Sonnet 5 | $0.00004 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
x-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Research Skill
X/Twitter research agent powered by Composio. Zero API cost.
Search for real-time discussions, breaking news, expert opinions, and engagement data.
Commands
Search
/x search <query> [--sort likes|recent] [--since 1h|1d|7d] [--limit N] [--pages N] [--json] [--markdown]
Search recent tweets (last 7 days). Supports engagement sorting, time filtering, pagination, and multiple output formats (default, --json for raw data, --markdown for research documents).
Profile
/x profile <username> [--count N] [--replies] [--json]
Fetch recent tweets from a specific user. Excludes replies by default. Use --json for raw data.
Thread
/x thread <tweet_id> [--pages N]
Reconstruct a full conversation thread from a root tweet ID.
Single Tweet
/x tweet <tweet_id> [--json]
Fetch and display a single tweet with engagement metrics. Use --json for raw data.
Cache
/x cache clear Clear search cache
Manage the in-memory search cache (15-minute TTL).
Watchlist
/x watchlist Show all tracked accounts
/x watchlist add <user> [note] Add user to watchlist
/x watchlist remove <user> Remove user from watchlist
/x watchlist check Check recent tweets from all watchlist accounts
Track accounts of interest. Watchlist is session-scoped (in-memory).
Research Workflow
For deep research on a topic:
- Decompose your question into 3-5 targeted search queries
- Search with different sort modes (likes for signal, recent for breaking)
- Follow high-engagement threads for context
- Check profiles of key accounts found in results
- Add important accounts to watchlist for monitoring
Search Operators
Composio supports standard X search operators:
"exact phrase"— Match exact textfrom:username— Tweets from a user-is:retweet— Exclude retweets (added by default)-is:reply— Exclude replies (use--no-replies)#hashtag— Filter by hashtaghas:links— Only tweets with linkslang:en— Filter by language
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 98 lines · 21 tokens per session scan A 471fbeee0a19
x-research is a skill published in the GitHub repository alsk1992/CloddsBot (1,190 stars, last pushed 8d ago), licensed MIT. It adds 21 tokens to every session and 740 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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