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 aisa-twitter-command-centergit 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/aisa-twitter-command-center)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/aisa-twitter-command-center"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/aisa-twitter-command-center/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/aisa-twitter-command-center"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/aisa-twitter-command-center.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 48 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00052 | $0.00850 |
| Opus 5 | $0.00026 | $0.00425 |
| Sonnet 5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
aisa-twitter-command-center 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIsa Twitter Command Center
Search X/Twitter profiles, tweets, trends, lists, communities, and Spaces through the AIsa relay, then support approved posting workflows with OAuth.
When to use
- The user wants Twitter/X research, monitoring, or content discovery.
- The user wants to inspect profiles, timelines, mentions, trends, replies, quotes, lists, communities, or Spaces.
- The user wants to draft or publish posts after explicit OAuth approval without sharing passwords.
When NOT to use
- The user needs password-based login, cookie extraction, or browser credential scraping.
- The workflow must avoid relay-based calls to
api.aisa.one. - The request is for unsupported engagement actions not covered by this package.
Quick Reference
- Required environment variable:
AISA_API_KEY - Read client:
scripts/twitter_client.py - OAuth and posting client:
scripts/twitter_oauth_client.py - Posting guide:
references/post_twitter.md
Setup
export AISA_API_KEY="your-key"
All network calls go to https://api.aisa.one/apis/v1/....
Capabilities
- Read user data, timelines, mentions, followers, followings, and related profile information.
- Search tweets and users, inspect replies, quotes, retweeters, thread context, trends, lists, communities, and Spaces.
- Publish text, image, and video posts after explicit OAuth approval.
- Return an authorization link when posting access has not been approved yet.
Common Commands
python3 scripts/twitter_client.py user-info --username elonmusk
python3 scripts/twitter_client.py search --query "AI agents" --type Latest
python3 scripts/twitter_client.py trends --woeid 1
python3 scripts/twitter_oauth_client.py status
python3 scripts/twitter_oauth_client.py authorize
python3 scripts/twitter_oauth_client.py post --text "Hello from AIsa"
Posting Workflow
When the user asks to send, publish, reply, or quote on X/Twitter:
- Check whether
AISA_API_KEYis configured. - If the user intent is to publish, attempt the publish workflow.
- If authorization has not been completed, return the OAuth authorization link first.
- Use
--media-fileonly for user-provided local workspace files. - Do not claim the post succeeded until the publish command actually succeeds.
What ships with it
4 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 · 94 lines · 52 tokens per session scan A e3b7a1cb3055
aisa-twitter-command-center is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 850 once invoked, about $0.0003 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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