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 AIsa-team/agent-skills --skill x-intelligence-automationgit clone --depth 1 https://github.com/AIsa-team/agent-skillsWrote 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/aisa-team/agent-skills/x-intelligence-automation)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/x-intelligence-automation"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/x-intelligence-automation/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/aisa-team/agent-skills/x-intelligence-automation"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/x-intelligence-automation.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 | $0.00049 | $0.00534 |
| Opus 5 | $0.00024 | $0.00267 |
| Sonnet 5 | $0.00010 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
x-intelligence-automation 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 10d 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.
What it actually says
X Intelligence Automation
Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AIsa relay.
When to use
- The user wants Twitter/X research plus posting, liking, unliking, following, or unfollowing workflows.
- The task can use a Python client with
AISA_API_KEYand explicit OAuth approval. - The workflow needs a single package that covers read, post, and engagement actions.
When NOT to use
- The user needs cookie extraction, password login, or a fully local Twitter client.
- The workflow must avoid relay-based network calls or media upload through
api.aisa.one. - The task needs undocumented secrets or browser-derived auth values.
Quick Reference
- Required environment variable:
AISA_API_KEY - Read client:
scripts/twitter_client.py - Post client:
scripts/twitter_oauth_client.py - Engage client:
scripts/twitter_engagement_client.py - References:
references/post_twitter.md,references/engage_twitter.md
Setup
export AISA_API_KEY="your-key"
Common Commands
python3 scripts/twitter_client.py search --query "AI agents" --type Latest
python3 scripts/twitter_oauth_client.py authorize
python3 scripts/twitter_engagement_client.py follow-user --user "@elonmusk"
Capabilities
- Research Twitter/X accounts, tweets, trends, lists, communities, and Spaces.
- Publish text, image, and video posts after explicit OAuth approval.
- Like, unlike, follow, and unfollow after authorization exists.
What ships with it
6 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.
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.
- 10d ago First seen · 61 lines · 49 tokens per session scan A ad2450dfbf68
x-intelligence-automation is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 534 once invoked, about $0.0002 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 2026-08-30.
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