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 Lingtai-AI/lingtai --skill codexgit clone --depth 1 https://github.com/Lingtai-AI/lingtaiWrote 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/lingtai-ai/lingtai/codex)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/codex"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/codex.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00724 |
| Opus 5 | $0.00010 | $0.00362 |
| Sonnet 5 | $0.00004 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
preset-skill-codex 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 7d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
codex
codexPreset() in tui/internal/preset/preset.go uses provider
codex, model gpt-5.6-sol, the Codex endpoint
https://chatgpt.com/backend-api/codex, and ChatGPT OAuth rather than an API
key env-var. The manifest exposes provider-native vision and web search.
Template-specific settings
The editor's model row ships the latest two GPT-5.x generations only:
gpt-5.6-sol (the default), gpt-5.6-terra, gpt-5.6-luna — three named
routes of the one 5.6 generation — and gpt-5.5. Per the TUI's
model-curation rule (tui/CONTRACT.md) the older gpt-5.4, gpt-5.4-mini,
gpt-5.3-codex, and gpt-5.2 ids are no longer offered. A saved preset
already pinned to one of them keeps working — the TUI never rewrites
presets/saved/ — it simply is not reachable from the picker any more.
Exact image support can depend on the current model/account; verify it rather than treating this manual as a promise.
Read the official Codex authentication and Codex models pages on demand. No separate Codex vision MCP is established. If the native route fails, report the failure and use this manual for discovery; do not fall back to a generic OpenAI key, switch providers, or auto-load/invoke an MCP. Recheck the TUI preset source for model and capability changes. Never inspect, print, or reproduce OAuth token contents.
Operations
For base URL/API-compat/model/capability declaration shape versus
credentials, see reference/operations/endpoint-capabilities/SKILL.md. See
also reference/codex-pool/SKILL.md for the pooled multi-account variant.
To check live OAuth quota/rate-limit state for this account, query the
app-server directly: complete initialize, then send the
account/rateLimits/read request (its params are structurally null — no
request body), and read the GetAccountRateLimitsResponse
(usedPercent/windowDurationMins/resetsAt per window, plan/credits
fields). Optionally also watch the sparse account/rateLimits/updated
notification as a rolling supplement, never a substitute for the read.
Full field-by-field routing, the official-272K-vs-measured-372K distinction,
and secret-safety rules live in
reference/operations/endpoint-capabilities/SKILL.md — do not restate or
re-derive that evidence here.
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.
- 7d ago First seen · 54 lines · 21 tokens per session scan A 57202454670c
preset-skill-codex is a skill published in the GitHub repository Lingtai-AI/lingtai (693 stars, last pushed yesterday), licensed Apache-2.0. It adds 21 tokens to every session and 724 once invoked, about $0.0001 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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