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 richfrem/agent-plugins-skills --skill codex-cli-agentgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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/richfrem/agent-plugins-skills/codex-cli-agent)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/codex-cli-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/codex-cli-agent/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/richfrem/agent-plugins-skills/codex-cli-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/codex-cli-agent.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 | $0.00038 | $0.00663 |
| Opus 5.5 | $0.00015 | $0.00265 |
| Sonnet 5.5 | $0.00008 | $0.00133 |
| Haiku 4.5 | $0.00004 | $0.00066 |
Grade A, and why
codex-cli-agent 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 18d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex CLI Agent
Dispatch the authorized task using the bundled router.
Contents
Constraints
Reuse the user's runtime/model/effort choice; do not start an unrequested review.
Use one backend; halt on failure without silent fallback. Analysis uses --isolated;
it suppresses dangerous flags and adds instructions, but is not an OS sandbox.
Non-isolated dispatch requires authorization and external containment where needed.
Quick start
Run from this skill root; input and output paths are supplied by the caller:
python3 scripts/run_agent.py agents/security-auditor.md <input> <output> "Review supplied source." --cli codex --isolated --require-input
Workflow
- Read dispatch details before selecting flags or models.
- Read execution rules and backend capabilities; user instructions govern authorization.
- Use the selected model or catalog tier; inspect the resolved executable/version.
- Dispatch once, then check exit status, nonempty output and requested acceptance criteria.
Profile contract applies when a caller supplies a profile.
Verification
Record backend, executable/version, model, effort, scope and result. Empty or failed output is not a completed review. Log failures in Map Debt. For gated reviews, record PASS/REVISE/REJECT through the control plane; only PASS approves.
🎭 Persona Registry (agents/)
These personas are mirrored across CLI agent dispatchers to ensure consistent analytical behavior across the ecosystem.
| Persona | Use For |
|---|---|
security-auditor.md |
Red team, vulnerability scanning, threat modeling |
refactor-expert.md |
Optimizing code for readability, performance, and DRY |
architect-review.md |
Assessing system design, modularity, and complexity |
What ships with it
17 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/architect-review.md 35 B
- agents/refactor-expert.md 34 B
- agents/security-auditor.md 35 B
- evals/evals.json 562 B
- evals/results.tsv 34 B
- references/acceptance-criteria.md 42 B
- references/backend-capabilities.md 43 B
- references/capability-profile-contract.md 50 B
- references/cheapest_models.json 40 B
- references/cheapest_models.md 38 B
- references/codex-cli-dispatch.md 41 B
- references/codex-models.json 37 B
- references/execution-contract.md 41 B
- references/map-debt.md 31 B
- scripts/capability_profile.py 38 B runs code
- scripts/model_catalog.py 33 B runs code
- scripts/run_agent.py 29 B runs code
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.
- 18d ago Changed · -54 lines · -27 tokens per session 3d647ded48a3
- 1mo ago Changed · +15 lines 0c430c7c2e93
- 1mo ago Changed · +21 lines b26c99b29744
- 1mo ago First seen · 91 lines · 65 tokens per session scan A 2bdf32138773
codex-cli-agent is a skill published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 663 once invoked, about $0.0002 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 2026-09-03.
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