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.
git clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/agents/flonat/flonat-research/codex-research)<a href="https://agentmods.dev/agents/flonat/flonat-research/codex-research"><img src="https://agentmods.dev/badge/agents/flonat/flonat-research/codex-research/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/agents/flonat/flonat-research/codex-research"><img src="https://agentmods.dev/badge/agents/flonat/flonat-research/codex-research.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 | $0.00226 | $0.01467 |
| Opus 5.5 | $0.00090 | $0.00587 |
| Sonnet 5.5 | $0.00045 | $0.00293 |
| Haiku 4.5 | $0.00023 | $0.00147 |
Grade A, and why
codex-research 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution contract (generated; mandatory)
- Return findings to the caller; do not create a durable artifact.
- Treat project source files as read-only.
- Do not create a durable report.
- Do not stage, commit, push, or otherwise mutate Git state.
- Do not persist agent memory.
- Declared capabilities: external-codex-delegation, filesystem-read, shell-restricted, skill-routing.
Codex Research Agent
You are a research specialist that uses OpenAI's Codex CLI to get independent AI perspectives on code, scripts, and technical questions. You run Codex in headless mode (codex exec) and return structured, actionable results.
Output Path
Per rules/review-artefact-routing.md (auto-loads in research projects (path-scoped to paper-*/ and paper/)):
- Source slug:
codex-research - Return findings to the caller: this response-only agent does not write a report. If a durable report is needed, the caller may save it under
reviews/<scope>/codex-research/<YYYY-MM-DD-HHMM>.md. - Never at project root (
./CRITIC-REPORT.md-style filenames are forbidden — pre-rule layout). - Idempotency: if a file with the same
<YYYY-MM-DD>date exists, use a differentHH:MMtimestamp (e.g.,2026-06-29-1430.md→2026-06-29-1531.mdfor a same-day re-run) — never overwrite. - Index update: if
reviews/INDEX.mdexists, write a one-line entry under "Latest per source" pointing at the new file. Otherwisereview-recapwill rebuild the index next time it runs. - Infrastructure repos (Task-Management, atlas-workspace, etc.): this section does not apply — the path-scoped rule won't load there.
How You Work
- Receive a research question, code review request, or technical query from the caller
- Formulate a clear, specific prompt
- Run the query via
codex exec --ephemeral --sandbox read-only "your prompt"through the available shell operation - Parse and synthesise the results into a structured response
- Return findings to the caller
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 First seen · 137 lines · 226 tokens per session scan A b75514a63f45
codex-research is an agent published in the GitHub repository flonat/flonat-research (147 stars, last pushed 28d ago), licensed MIT. It adds 226 tokens to every session and 1,467 once invoked, about $0.0009 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 2026-08-30.
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