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 feiskyer/codex-settings --skill claude-skillgit clone --depth 1 https://github.com/feiskyer/codex-settingsWrote 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/feiskyer/codex-settings/claude-skill)<a href="https://agentmods.dev/skills/feiskyer/codex-settings/claude-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/codex-settings/claude-skill/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/feiskyer/codex-settings/claude-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/codex-settings/claude-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 9 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 53 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 59 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 143 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 152 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 161 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 169 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 175 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 181 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 192 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00615 |
| Opus 5.5 | $0.00017 | $0.00246 |
| Sonnet 5.5 | $0.00008 | $0.00123 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
claude-skill 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 23d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Headless Mode
Build and run claude commands for work that should be executed through Claude Code itself.
| Reference | Read it when |
|---|---|
| references/flags-and-permissions.md | The command needs more than -p — permission modes, tool scoping, output formats, flag inventory, installation |
| references/examples.md | You want a worked command for a specific shape of task (read-only analysis, safe edit run, JSON report, resume, MCP, sandboxed unattended run) |
Requires the claude CLI installed and authenticated on the target machine.
Core rules
claude --helpon the target machine is the compatibility floor. CLI flags and permission-rule syntax move faster than docs and copied examples, and they differ between builds. Verify any uncommon flag there before emitting it.- Do not add
--modelunless the user asked for an override or the workflow must pin a model for reproducibility. The user's configured model is the right default. - Prefer
--append-system-promptover--system-promptunless replacing Claude Code's default behavior is the point. - Choose the least-permissive mode that still fits the task.
acceptEditsis the usual starting point for coding automation. For a truly unattended run, reach for explicit permission rules ordontAskfirst;bypassPermissionsis only for an already-isolated environment.
Check what the task needs
Before execution, confirm the CLI is available and authenticated. Consult claude --help for flags needed by this command; use version or diagnostic commands when compatibility or installation is in doubt. A request for a command example does not authorize running that task.
Basic shape
claude -p "summarize the repository architecture"
claude -p "review the auth layer for risks" --output-format json
Everything else is a matter of scoping tools and permissions around that — see the references.
What ships with it
3 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.
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.
- 23d ago Changed · -2 lines 7e69ab818376
- 28d ago Changed · -181 lines · -7 tokens per session 4c53ec5dceae
- 1mo ago First seen · 229 lines · 49 tokens per session scan A b3b1f3243bb1
claude-skill is a skill published in the GitHub repository feiskyer/codex-settings (247 stars, last pushed 24d ago), licensed MIT. It adds 42 tokens to every session and 615 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 2026-08-30.
Other skills, from other repositories
github-review-pr
Review GitHub pull requests with detailed, multi-perspective code analysis using parallel subagents. Use this skill whenever the user wants to review a PR, asks for code review on a pull request, mentions "review PR", "check this PR", "look at pull request", or references a PR number or GitHub PR URL. Do NOT use for…
skill-creator
Create, refine, and benchmark agent skills. Use when building a new skill, updating an existing one, running evals, checking trigger quality, or improving a skill description.
deep-research
Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless claude -p subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis.…
brainstorming
Explore user intent, requirements, and design options through collaborative dialogue before implementation. Use before building new features, components, or systems — whenever the user describes something to build and design decisions are involved. Triggers: "brainstorm", "help me design", "think through the…
grill-me
A guided, adversarial interview for challenging a plan or design one question at a time. It also records agreed terms and architectural decisions as the discussion develops.
gpt-image-skill
A skill for generating or editing images through OpenAI's GPT Image API, a programming interface for requesting image operations. It uses a bundled Python script and supports configuration such as model, size, quality, and output file.