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-apigit 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-api)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/aisa-twitter-api"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/aisa-twitter-api/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-api"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/aisa-twitter-api.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 | $0.00067 | $0.00996 |
| Opus 5 | $0.00034 | $0.00498 |
| Sonnet 5 | $0.00013 | $0.00199 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
aisa-twitter-api 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 9d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIsa Twitter API Command Center
Flagship Twitter/X skill for research, monitoring, watchlists, and OAuth-approved posting through the AIsa relay.
When to use
- When the user wants one primary Twitter/X skill for research, monitoring, trend discovery, timeline review, or content discovery.
- When the user needs to inspect profiles, timelines, mentions, trends, replies, quotes, lists, communities, or Spaces.
- When the user wants to draft or publish posts after explicit OAuth approval without sharing passwords or browser cookies.
- When the workflow should use
AISA_API_KEYand relay-based access tohttps://api.aisa.oneinstead of local credential extraction.
When NOT to use
- Do NOT use this for password-based login, cookie extraction, or browser credential scraping.
- Do NOT use this when the workflow must avoid relay-based requests to
https://api.aisa.one. - Do NOT use this as the primary skill for like, follow, reply, or growth-action workflows better handled by
aisa-twitter-engagement-suite.
Quick Reference
- Required environment variable:
AISA_API_KEY - Required binary:
python3 - Read client:
scripts/twitter_client.py - OAuth and posting client:
scripts/twitter_oauth_client.py - Posting guide:
references/post_twitter.md - Relay target:
https://api.aisa.one - External writes: posting happens only after explicit OAuth approval
- Upload behavior: image and video posting sends user-selected media through the relay
Setup
export AISA_API_KEY="your-key"
Requirements:
python3AISA_API_KEY- Internet access to
https://api.aisa.one - Explicit OAuth approval before posting
- User-provided media files when posting images or videos
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.
- Run watchlist-style research and monitoring workflows from one Twitter/X command surface.
- Publish text, image, and video posts after explicit OAuth approval.
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.
- 9d ago First seen · 104 lines · 67 tokens per session scan A bfe2e54bffb3
aisa-twitter-api is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 996 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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