OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.
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 RightNow-AI/openfang --skill twittergit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/rightnow-ai/openfang/twitter)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/twitter"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/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/rightnow-ai/openfang/twitter"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/twitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 findings, up to high
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 →
- high Tool Misuse · line 90 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Data Exfiltration · line 26 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.
- medium Data Exfiltration · line 27 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.
- medium Data Exfiltration · line 33 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.
- medium Data Exfiltration · line 42 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.
- medium Data Exfiltration · line 55 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.
- medium Data Exfiltration · line 61 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.
- medium Data Exfiltration · line 70 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.
- medium Data Exfiltration · line 76 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.
- medium Data Exfiltration · line 82 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 | $0.00030 | $0.03259 |
| Opus 5.5 | $0.00012 | $0.01304 |
| Sonnet 5.5 | $0.00006 | $0.00652 |
| Haiku 4.5 | $0.00003 | $0.00326 |
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" \ How it starts
The opening of the file, as written. The whole thing — 362 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
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
Delete a tweet:
curl -s -X DELETE "https://api.twitter.com/2/tweets/TWEET_ID" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN"
Like a tweet:
curl -s -X POST "https://api.twitter.com/2/users/USER_ID/likes" \
-H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \
-H "Content-Type: application/json" \
-d '{"tweet_id": "TARGET_TWEET_ID"}'
Get mentions:
curl -s -H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \
"https://api.twitter.com/2/users/USER_ID/mentions?max_results=10&tweet.fields=public_metrics,created_at,author_id"
Search recent tweets:
curl -s -H "Authorization: Bearer $TWITTER_BEARER_TOKEN" \
"https://api.twitter.com/2/tweets/search/recent?query=QUERY&max_results=10&tweet.fields=public_metrics"
What ships with it
1 file 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 · 362 lines · 30 tokens per session scan A b6cbc97e8336
twitter-hand-skill is a skill published in the GitHub repository RightNow-AI/openfang (18,227 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 3,259 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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