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 commands/xiaolai/cc-suite/codex-preflightgit clone --depth 1 https://github.com/xiaolai/cc-suiteWhat 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 | $0.00011 | $0.00626 |
| Opus 5 | $0.00005 | $0.00313 |
| Sonnet 5 | $0.00002 | $0.00125 |
| Haiku 4.5 | $0.00001 | $0.00063 |
Grade A, and why
codex-preflight scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Preflight Check
Run a preflight check to verify Codex is working and discover which models are available.
Workflow
Step 1: Run the preflight script
bash "${CLAUDE_PLUGIN_ROOT}/scripts/codex-preflight.sh"
Parse the JSON output from stdout. The script also prints a human-readable summary to stderr.
Step 2: Display results
Present the results in a clear, readable format:
## Codex Preflight Results
**Status**: {status}
**Codex version**: {codex_version}
**Auth mode**: {auth_mode}
**Codex Cloud**: {codex_cloud}
**Default model**: {default_model}
The default is selected dynamically from the current Codex model catalog. The
preflight prefers the latest-marked general-purpose model, then the newest
version, and does not hardcode a model name or select review-only models.
### Available Models
| Model | Status |
|-------|--------|
| {model-name} | Available |
### Unavailable Models
| Model | Status |
|-------|--------|
| {model-name} | Unavailable |
### Options
- **Reasoning efforts**: {reasoning_efforts from preflight}
- **Sandbox levels**: read-only, workspace-write, danger-full-access
Step 3: Handle errors
Failures are reported in band: the script prints the same field set with "status": "error", a stable error_code, and empty models, and still exits 0. Switch on status, never on the exit code.
- If
statusis"error":-
Display the
errormessage prominently -
Suggest the fix for its
error_code(branch on the code, not the message text):error_codeFix codex_not_foundnpm install -g @openai/codexcodex_not_authenticatedcodex logincodex_no_models_cacheRun any codex session once (e.g. codex exec 'say ok') to repopulate~/.codex/models_cache.json
-
- If
modelsis empty:- Warn: "No models are currently available"
- Suggest: Check subscription status, then run any codex session once (e.g.
codex exec 'say ok') to repopulate the model cache —codex logindoes not refresh the model list
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.
- 2d ago First seen · 78 lines · 11 tokens per session scan A 2e1882a9f3ea
codex-preflight is a command published in the GitHub repository xiaolai/cc-suite (44 stars, last pushed 24d ago), licensed ISC. It adds 11 tokens to every session and 626 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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