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 agentmods add skills/answerdotai/skill-plugins/codex-docsnpx skills add AnswerDotAI/skill-plugins --skill codex-docsgit clone --depth 1 https://github.com/AnswerDotAI/skill-pluginsWhat 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 | $0.00043 | $0.00349 |
| Opus 5 | $0.00022 | $0.00175 |
| Sonnet 5 | $0.00009 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
codex-docs 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 yesterday.
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.
What it actually says
Codex Docs
- Work in
clikernel. Fetchhttps://learn.chatgpt.com/docs/llms.txtexactly withhttpx, save its text to a variable, and display the whole variable. It is the table of contents agents are meant to inspect. - Choose the link whose title matches the question. Do not replace the requested URL with a similar page.
- Fetch that linked Markdown page with
httpxand save its text to another variable. Never fetchllms-full.txt; select the relevant page fromllms.txtinstead. - Check the Markdown page's
len(). If it is at most 30,000 characters, display the whole page. If it is larger, do not display it: load thetoolslm.read_mdpyskill, parse the page variable, inspectpaths(), and retrieve the relevant sections. Fetch shared sections separately when an event-specific section refers to them. - Use the official documentation for documented interfaces and normal day-to-day behavior. Dive into the Codex source when the docs do not answer the question, when implementation details matter, or when investigating observed behavior. Prefer source matching the installed build; if the source may be newer or older, say so.
- Base the answer on the strongest applicable evidence: documented contracts for public behavior, matching source for implementation details, and direct observation for runtime behavior. Distinguish among them when it matters.
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.
- yesterday First seen · 14 lines · 43 tokens per session scan A 977d02deb232
codex-docs is a skill published in the GitHub repository AnswerDotAI/skill-plugins (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 349 once invoked, about $0.0002 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 2026-08-31.
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