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 JairoTorregrosa/jaiskills --skill askcodexgit clone --depth 1 https://github.com/JairoTorregrosa/jaiskillsWrote 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/jairotorregrosa/jaiskills/askcodex)<a href="https://agentmods.dev/skills/jairotorregrosa/jaiskills/askcodex"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/askcodex/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/jairotorregrosa/jaiskills/askcodex"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/askcodex.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 | $0.00158 | $0.03611 |
| Opus 5.5 | $0.00063 | $0.01444 |
| Sonnet 5.5 | $0.00032 | $0.00722 |
| Haiku 4.5 | $0.00016 | $0.00361 |
Grade A, and why
askcodex 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 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.
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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
askcodex
You have the askcodex CLI. It sends one request to an OpenAI model through the user's
ChatGPT/Codex subscription and returns a text answer, an image, or a transcript. Turn the user's
request into a complete brief, run one focused call, check the result against the brief, and hand
the user the useful output with its saved path.
Canonical copy: skill/ in https://github.com/JairoTorregrosa/askcodex (this is a mirror; change
it there, then re-sync). Local delta: the description's not-for clause points to second-opinion.
Context you must respect
- This skill describes askcodex 0.3.0 or later. Check
askcodex --versiononce per session. 0.2.x has no--schema,--verbosityor--background, prints the ~700 KB raw catalog insidemodels --json, and gives errors withouterror.backend; 0.1.x also hides the GPT-6 models. If it is older, tell the user to update instead of working around it: in an askcodex checkout,git pull && ./install.sh; without one, download the latest release binary from https://github.com/JairoTorregrosa/askcodex/releases (verifySHA256SUMS), or clone it and run./install.sh(needs Rust 1.88+). - Every call is one-shot and stateless.
asksends only the prompt and optional--instructions: the model gets no tools, files, browsing, repository, or earlier conversation. A file path in a prompt is just text; paste the contents instead. - Everything in a prompt, a reference image or an audio file leaves the machine for OpenAI's backend. Before you paste logs, exports, code or documents, always remove credentials, tokens, keys and passwords, even when the user supplied them for the task: replace them with placeholders. Also remove personal or customer data the task does not need; if the task needs it, or you cannot tell, ask the user first.
- Every call spends the user's subscription quota. GPT-6 Astra is the most expensive model.
- A second model's answer is input to your work. Verify its facts, review its code, and look at its images before you report success.
- askcodex uses the credentials
codex loginsaved to~/.codex/auth.json; it reads no API key. Never print credentials.
What ships with it
15 files 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.
- agents/openai.yaml 120 B
- references/model-gpt-5.5.md 5.3 KB
- references/model-gpt-5.6-luna.md 8.5 KB
- references/model-gpt-5.6-sol.md 9.7 KB
- references/model-gpt-5.6-terra.md 7.8 KB
- references/model-gpt-6-astra.md 10 KB
- references/model-gpt-6-luna.md 12 KB
- references/model-gpt-6-sol.md 10 KB
- references/model-gpt-6.1-sol.md 13 KB
- references/model-gpt-daybreak-blue-latest.md 9.7 KB
- references/model-gpt-image-2.md 17 KB
- references/prompting-images.md 8.4 KB
- references/prompting-text.md 8.4 KB
- references/prompting.md 2.8 KB
- references/transcription.md 2.6 KB
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 Changed · +35 lines · +7 tokens per session 394930a96085
- 1mo ago Changed · +1 lines 575bbeb44ced
- 1mo ago Changed · +32 lines · +11 tokens per session df69f1ee5239
- 1mo ago Changed · +31 lines · -33 tokens per session 0dbc7a6b0f3e
- 2mo ago First seen · 82 lines · 173 tokens per session scan A 21b03c6e3fb3
askcodex is a skill published in the GitHub repository JairoTorregrosa/jaiskills (11 stars, last pushed yesterday), licensed MIT. It adds 158 tokens to every session and 3,611 once invoked, about $0.0006 per session on Opus 5.5. 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.
askcodex compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| askcodexJairoTorregrosa/jaiskills | Skill | 11 | yesterday | MIT | A | 158 | Claude Code, Codex |
| data-catchallChipagosfinest/enterprise-team | Skill | 20 | 6mo ago | none | A | 95 | Claude Code |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | today | MIT | A | 65 | Claude Code, Codex |
| voice-extractorelvisun/newsjack | Skill | 1.7k | 2d ago | MIT | A | 90 | Claude Code |
| coverage-trackerelvisun/newsjack | Skill | 1.7k | 2d ago | MIT | A | 47 | Claude Code |
| prompt-set-qaelvisun/newsjack | Skill | 1.7k | 2d ago | MIT | A | 56 | Claude Code |
| realistic-prompt-generationelvisun/newsjack | Skill | 1.7k | 2d ago | MIT | A | 55 | Claude Code |