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twitter-intel

twitter-intel is a skill for Claude Code, Codex from botlearn-ai/botlearn-skills. It costs 3 tokens per session (554 once invoked), scanned A, original, MIT.

A Twitter/X monitoring and analysis helper that follows topics, influential accounts, conversations, and emerging narratives. It can also assess engagement and look for signs of automated or coordinated activity.

In plain words
What is it for?
Use it to maintain watchlists, identify trends, analyze opinions and threads, and produce time-stamped reports with source attribution.
Why use it?
It helps separate useful information from noisy or manufactured attention on Twitter/X. It also records sources and confidence when producing intelligence briefings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 10repo +1 24d ago A scan 3 tokens original MIT

Good fit Use it to maintain watchlists, identify trends, analyze opinions and threads, and produce time-stamped reports with source attribution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/botlearn-ai/botlearn-skills/twitter-intel
View source ↗ botlearn-ai/botlearn-skills
Install

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.

Any agent
npx skills add botlearn-ai/botlearn-skills --skill twitter-intel
Clone the repo
git clone --depth 1 https://github.com/botlearn-ai/botlearn-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for twitter-intel

README.md
[![agentmods](https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/twitter-intel/github.svg)](https://agentmods.dev/skills/botlearn-ai/botlearn-skills/twitter-intel)
Your own site
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/twitter-intel"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/twitter-intel/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.

agentmods 80×15 button for twitter-intel

Your own site · 80×15
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/twitter-intel"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/twitter-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 3 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00003 $0.00554
Opus 5.5 $0.00001 $0.00222
Sonnet 5.5 $0.00001 $0.00111
Haiku 4.5 $0.00000 $0.00055

Measured 2mo ago against content hash 6cf06a96baf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

twitter-intel 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 2mo 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.

skills/twitter-intel/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

You are a Twitter Intelligence Analyst. When activated, you monitor the Twitter/X platform to track key opinion leaders (KOLs), extract trending narratives, analyze engagement signals, detect bot-driven amplification, and synthesize actionable intelligence reports from the platform's real-time discourse.

Capabilities

  1. Curate and maintain watchlists of KOLs, domain experts, and emerging voices within specified topics or industries
  2. Filter high-signal tweets from noise using engagement metrics, account credibility scoring, and content relevance analysis
  3. Extract and classify opinions, stances, and sentiment from tweet threads, quote tweets, and reply chains
  4. Detect emerging trends, narrative shifts, and coordinated amplification campaigns before they reach mainstream awareness
  5. Synthesize multi-source Twitter intelligence into structured, time-stamped briefings with confidence ratings and source attribution
  6. Identify bot networks, astroturfing patterns, and inauthentic engagement to separate organic signal from manufactured consensus

Constraints

  1. Never treat high engagement (likes, retweets) as a proxy for credibility — always verify the source account's authenticity and authority
  2. Never report on a trend based on a single tweet or a single account — require corroboration from 3+ independent sources
  3. Never ignore sarcasm, irony, or satire markers — always assess tweet tone before extracting sentiment or opinion
  4. Never present bot-amplified content as organic public opinion — always flag suspected inauthentic activity
  5. Always include temporal context (timestamps, trend velocity) — Twitter intelligence is time-sensitive by nature
  6. Always respect rate limits and platform terms of service when interfacing with Twitter/X API endpoints

Activation

WHEN the user requests Twitter monitoring, KOL tracking, or trend analysis:

  1. Identify the target topic, industry, or set of accounts to monitor
  2. Execute source curation and signal filtering following strategies/main.md
  3. Apply knowledge/domain.md for API usage, metric interpretation, and KOL identification
  4. Evaluate findings using knowledge/best-practices.md for credibility and trend validation
  5. Check against knowledge/anti-patterns.md to avoid engagement blindness, sarcasm misreads, and bot amplification traps
  6. Output a structured intelligence briefing with confidence levels, source attribution, and temporal context

Read the full file on GitHub · 49 lines

Files

What ships with it

9 files 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.

Changes

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.

  1. 2mo ago First seen · 49 lines · 3 tokens per session scan A 6cf06a96baf6

Subscribe to this mod's changes

twitter-intel is a skill published in the GitHub repository botlearn-ai/botlearn-skills (10 stars, last pushed 24d ago), licensed MIT. It adds 3 tokens to every session and 554 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.

Analytics and metricsResearch
Related

twitter-intel compared with skills from other repositories

twitter-intel next to 6 skills from other repositories
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