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 mturac/everything-openai-codex --skill x-apigit clone --depth 1 https://github.com/mturac/everything-openai-codexWrote 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/mturac/everything-openai-codex/x-api)<a href="https://agentmods.dev/skills/mturac/everything-openai-codex/x-api"><img src="https://agentmods.dev/badge/skills/mturac/everything-openai-codex/x-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/mturac/everything-openai-codex/x-api"><img src="https://agentmods.dev/badge/skills/mturac/everything-openai-codex/x-api.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 | $0.00048 | $0.01617 |
| Opus 5.5 | $0.00019 | $0.00647 |
| Sonnet 5.5 | $0.00010 | $0.00323 |
| Haiku 4.5 | $0.00005 | $0.00162 |
Grade A, and why
x-api 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.
resp = requests.get( This is a copy
100% identical to x-api — 11 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X API
Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics.
When to Activate
- User wants to post tweets or threads programmatically
- Reading timeline, mentions, or user data from X
- Searching X for content, trends, or conversations
- Building X integrations or bots
- Analytics and engagement tracking
- User says "post to X", "tweet", "X API", or "Twitter API"
Authentication
OAuth 2.0 Bearer Token (App-Only)
Best for: read-heavy operations, search, public data.
# Environment setup
export X_BEARER_TOKEN="your-bearer-token"
import os
import requests
bearer = os.environ["X_BEARER_TOKEN"]
headers = {"Authorization": f"Bearer {bearer}"}
# Search recent tweets
resp = requests.get(
"https://api.x.com/2/tweets/search/recent",
headers=headers,
params={"query": "openai codex", "max_results": 10}
)
tweets = resp.json()
OAuth 1.0a (User Context)
Required for: posting tweets, managing account, DMs, and any write flow.
# Environment setup — source before use
export X_CONSUMER_KEY="your-consumer-key"
export X_CONSUMER_SECRET="your-consumer-secret"
export X_ACCESS_TOKEN="your-access-token"
export X_ACCESS_TOKEN_SECRET="your-access-token-secret"
Legacy aliases such as X_API_KEY, X_API_SECRET, and X_ACCESS_SECRET may exist in older setups. Prefer the X_CONSUMER_* and X_ACCESS_TOKEN_SECRET names when documenting or wiring new flows.
import os
from requests_oauthlib import OAuth1Session
oauth = OAuth1Session(
os.environ["X_CONSUMER_KEY"],
client_secret=os.environ["X_CONSUMER_SECRET"],
resource_owner_key=os.environ["X_ACCESS_TOKEN"],
resource_owner_secret=os.environ["X_ACCESS_TOKEN_SECRET"],
)
Core Operations
Post a Tweet
resp = oauth.post(
"https://api.x.com/2/tweets",
json={"text": "Hello from OpenAI Codex"}
)
resp.raise_for_status()
tweet_id = resp.json()["data"]["id"]
Post a Thread
def post_thread(oauth, tweets: list[str]) -> list[str]:
ids = []
reply_to = None
for text in tweets:
payload = {"text": text}
if reply_to:
payload["reply"] = {"in_reply_to_tweet_id": reply_to}
resp = oauth.post("https://api.x.com/2/tweets", json=payload)
tweet_id = resp.json()["data"]["id"]
ids.append(tweet_id)
reply_to = tweet_id
return ids
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 · 230 lines · 48 tokens per session scan A 66b983f1374c
x-api is a skill published in the GitHub repository mturac/everything-openai-codex (86 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 1,617 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to x-api, differing in 11 lines, and is treated as a copy.
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verify
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simplify
Wrap-up refactoring — simplify code, eliminate duplication, preserve behavior.
oak-runtime-verification
Use after tests and validation pass and before the final review, whenever a change could show up at runtime - a screen, a command, an endpoint, a job or a data store - to prove the change works in the running system, including its failure path, with repeatable steps and minimal evidence.