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 appautomaton/agent-designer --skill collaborating-with-codexgit clone --depth 1 https://github.com/appautomaton/agent-designerWrote 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/appautomaton/agent-designer/collaborating-with-codex)<a href="https://agentmods.dev/skills/appautomaton/agent-designer/collaborating-with-codex"><img src="https://agentmods.dev/badge/skills/appautomaton/agent-designer/collaborating-with-codex/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/appautomaton/agent-designer/collaborating-with-codex"><img src="https://agentmods.dev/badge/skills/appautomaton/agent-designer/collaborating-with-codex.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 | $0.00042 | $0.03264 |
| Opus 5.5 | $0.00017 | $0.01306 |
| Sonnet 5.5 | $0.00008 | $0.00653 |
| Haiku 4.5 | $0.00004 | $0.00326 |
Grade A, and why
collaborating-with-codex scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Shell network (`curl`, `pip`, `npm`): blocked in both `read-only` and `workspace-write`. Grant it only when the task needs it (dependency installs, integration tests) via `--sandbox workspace-write --network`, preferab The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
11 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.
- assets/prompt-template.md 1.7 KB
- references/cli-reference.md 8.1 KB
- references/handoff-patterns.md 2.4 KB
- references/imagegen.md 4.3 KB
- references/parallel.md 3.3 KB
- references/patterns.md 3.4 KB
- references/prompt-antipatterns.md 1.6 KB
- references/prompt-blocks.md 3.9 KB
- references/prompt-recipes.md 3.4 KB
- references/shell-quoting.md 1.0 KB
- scripts/codex_bridge.py 23 KB 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.
- 1mo ago First seen · 237 lines · 42 tokens per session scan A 504d58c0bf7d
collaborating-with-codex is a skill published in the GitHub repository appautomaton/agent-designer (132 stars, last pushed 1mo ago), with no licence file. It adds 42 tokens to every session and 3,264 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
retro
Mine review artifacts for recurring patterns and write project learnings.
secure-review
Deep semantic security review of code changes with data flow tracing, taint analysis, and trust boundary validation. Composable building block invoked by /audit when deployed.
agent-review
Use in /implement after committing, inside the draft PR, to review the committed diff. Dispatches a dependency-free review subagent fed the diff + review criteria and returns structured findings (severity / location / problem / fix). The recipe drives the address→re-review loop with a human exit gate; the…
council
Five independent critic subagents in parallel on an idea, plan, design, R&R strategy, grant, or SKILL.md, then a synthesis pass that ranks findings by how much of the argument rests on them, never by vote count. A markdown work plan gets the plan roster (assumptions, pre-mortem, what to delete, alternatives per piece…
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation.
ai-code-review
Security-focused review of AI-generated or AI-assisted code. Use when reviewing code produced by AI coding assistants, auditing AI-generated patches, verifying AI-assisted contributions before merge, or when a review needs to account for failure modes specific to AI code generation.