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 librefang/librefang-registry --skill twittergit clone --depth 1 https://github.com/librefang/librefang-registryWrote 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/librefang/librefang-registry/twitter)<a href="https://agentmods.dev/skills/librefang/librefang-registry/twitter"><img src="https://agentmods.dev/badge/skills/librefang/librefang-registry/twitter/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/librefang/librefang-registry/twitter"><img src="https://agentmods.dev/badge/skills/librefang/librefang-registry/twitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00030 | $0.07236 |
| Opus 5.5 | $0.00012 | $0.02894 |
| Sonnet 5.5 | $0.00006 | $0.01447 |
| Haiku 4.5 | $0.00003 | $0.00724 |
Grade A, and why
twitter-hand-skill scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \ This is a copy
100% identical to twitter-hand-skill — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 698 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twitter/X Management Expert Knowledge
Twitter API v2 Reference
Authentication
Twitter API v2 uses OAuth 2.0 Bearer Token for app-level access and OAuth 1.0a for user-level actions.
Bearer Token (read-only access + tweet creation):
Authorization: Bearer $TWITTER_BEARER_TOKEN
Environment variable: TWITTER_BEARER_TOKEN
Authentication modes:
- Bearer Token only (default): Sufficient for posting tweets, reading timelines, and searching. All core functionality works with just the Bearer Token.
- Bearer Token + OAuth 1.0a (optional): Required for user-context operations such as liking tweets, retweeting, following/unfollowing, and accessing DMs. Set
TWITTER_API_KEY,TWITTER_API_SECRET,TWITTER_ACCESS_TOKEN, andTWITTER_ACCESS_TOKEN_SECRETto enable these features.
Note: The Like endpoint (
POST /2/users/:id/likes) and Retweet endpoint (POST /2/users/:id/retweets) require OAuth 1.0a User Context authentication. If only Bearer Token is configured, these operations will be skipped with a warning.
Core Endpoints
Get authenticated user info:
curl -s -H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \
"https://api.twitter.com/2/users/me"
Response: {"data": {"id": "123", "name": "User", "username": "user"}}
Post a tweet:
curl -s -X POST "https://api.twitter.com/2/tweets" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \
-H "Content-Type: application/json" \
-d '{"text": "Hello world!"}'
Response: {"data": {"id": "tweet_id", "text": "Hello world!"}}
Post a reply:
curl -s -X POST "https://api.twitter.com/2/tweets" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \
-H "Content-Type: application/json" \
-d '{"text": "Great point!", "reply": {"in_reply_to_tweet_id": "PARENT_TWEET_ID"}}'
Post a thread (chain of replies to yourself):
- Post first tweet → get
tweet_id - Post second tweet with
reply.in_reply_to_tweet_id= first tweet_id - Repeat for each tweet in thread
What ships with it
2 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.
- 1mo ago First seen · 698 lines · 30 tokens per session scan A 3311ac869c81
twitter-hand-skill is a skill published in the GitHub repository librefang/librefang-registry (11 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 7,236 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to twitter-hand-skill, differing in 0 lines, and is treated as a copy.
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