Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/adamallcock/codex-chatgpt-controlnpx agentmods add skills/adamallcock/codex-chatgpt-control/chatgpt-pro-consultWrote 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/adamallcock/codex-chatgpt-control/chatgpt-pro-consult)<a href="https://agentmods.dev/skills/adamallcock/codex-chatgpt-control/chatgpt-pro-consult"><img src="https://agentmods.dev/badge/skills/adamallcock/codex-chatgpt-control/chatgpt-pro-consult/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/adamallcock/codex-chatgpt-control/chatgpt-pro-consult"><img src="https://agentmods.dev/badge/skills/adamallcock/codex-chatgpt-control/chatgpt-pro-consult.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Agent Snooping · line 51 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00035 | $0.02938 |
| Opus 5 | $0.00017 | $0.01469 |
| Sonnet 5 | $0.00007 | $0.00588 |
| Haiku 4.5 | $0.00003 | $0.00294 |
Grade A, and why
chatgpt-pro-consult 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 12d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT Pro Consult
This is a backward-compatible skill alias. Prefer chatgpt-delegate for new work because it chooses between Chat, Work, and official Codex based on the job and uses the strict experience/configuration APIs.
Use this alias when an existing workflow or user explicitly requests the visible Chat Pro intelligence setting for a focused consultation. Typical uses are critical review, synthesis, planning review, and a long-form second opinion through the user's ChatGPT subscription.
This skill is a thin workflow over the codex-chatgpt-control plugin. Use the snippets below for ordinary consults, but switch to the full codex-chatgpt-control skill as soon as bridge bootstrap, tab reuse, file attach, send, wait, read, or selector diagnosis becomes the main issue.
Guardrails
- This sends prompt and attachment content to ChatGPT web. Do not send secrets, credentials, private source material, financial details, legal evidence, medical details, or sensitive personal data unless the user clearly approved that disclosure.
- Use only visible ChatGPT web through the Codex/browser bridge. Do not replicate private ChatGPT network calls, read cookies, inspect localStorage/sessionStorage, or extract hidden auth headers.
- Make Pro selection explicit with
experience: "chat"andconfiguration: { intelligence: "Pro" }. The strict configuration API handles older and newer visible pickers and verifies the postcondition. If the SDK cannot verify Pro, stop and report the blocker and visible candidate labels. - Call
experience.open({ experience: "chat" })through the workflow even when Work is currently visible; do not assume the current ChatGPT pane is Chat. - Prefer a fresh thread unless the user asked to continue a specific ChatGPT thread.
- Return Markdown by default. Use redacted reports by default; raw prompt/response content is opt-in only.
- Treat ChatGPT Pro output as another model's judgment, not verified truth. Verify current, legal, medical, financial, or high-stakes claims with primary sources.
- Keep each Codex tool call below the host call ceiling. Do not ask one JS call to wait for a long Pro response. Submit the prompt under Pro first, then poll/read in bounded chunks.
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.
- 12d ago First seen · 290 lines · 35 tokens per session scan A 5e90b80f0a79
chatgpt-pro-consult is a skill published in the GitHub repository adamallcock/codex-chatgpt-control (400 stars, last pushed 4d ago), licensed MIT. It adds 35 tokens to every session and 2,938 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 2026-08-30.
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