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 skills/bytefer/geo-seo-codex/geo-setupnpx skills add bytefer/geo-seo-codex --skill geo-setupgit clone --depth 1 https://github.com/bytefer/geo-seo-codexWrote 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/bytefer/geo-seo-codex/geo-setup)<a href="https://agentmods.dev/skills/bytefer/geo-seo-codex/geo-setup"><img src="https://agentmods.dev/badge/skills/bytefer/geo-seo-codex/geo-setup.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.01079 |
| Opus 5 | $0.00021 | $0.00540 |
| Sonnet 5 | $0.00008 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
geo-setup 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 5d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Runtime Setup Skill
Purpose
Use this skill when a GEO workflow needs bundled Python utilities, dependencies, templates, or PDF tooling and the runtime is missing or uncertain. It supports both installation modes:
- Plugin mode: skills are loaded from a
geo-seo-codexplugin checkout/cache, while scripts, schema templates, and report templates remain in that plugin root. - Classic installer mode: files are copied under
~/.codex/skills/geo/, with sub-skills under~/.codex/skills/geo-*/and optional agents under~/.codex/agents/.
Do not require ~/.codex/agents/geo-*.toml for setup. Agents are the preferred full-audit acceleration path when available; plugin-only installs must still work through skills fallback.
Runtime Root Resolution
Resolve GEO_ROOT before running scripts:
- If
CODEX_GEO_ROOTis set and containsscripts/, use it. - If this skill was loaded from a plugin path like
<plugin-root>/skills/geo-setup/SKILL.md, use<plugin-root>. - If the current repository contains
scripts/andrequirements.txt, use that repository root. - Fall back to the classic installer path:
${CODEX_HOME:-$HOME/.codex}/skills/geo.
If no root contains scripts/fetch_page.py, stop and ask the user to install the plugin or run install.sh / install-win.sh.
Setup Workflow
Run the equivalent of this shell flow in the user's environment:
GEO_ROOT="${CODEX_GEO_ROOT:-}"
if [ -z "$GEO_ROOT" ]; then
for candidate in "$PWD" "$PWD/.." "$PWD/../.." "${CODEX_HOME:-$HOME/.codex}/skills/geo"; do
if [ -f "$candidate/scripts/fetch_page.py" ]; then
GEO_ROOT="$(cd "$candidate" && pwd)"
break
fi
done
fi
if [ -z "$GEO_ROOT" ] || [ ! -f "$GEO_ROOT/scripts/fetch_page.py" ]; then
echo "GEO runtime root not found. Set CODEX_GEO_ROOT to the geo-seo-codex plugin/repo root."
exit 1
fi
if [ "$GEO_ROOT" = "${CODEX_HOME:-$HOME/.codex}/skills/geo" ]; then
GEO_RUNTIME_DIR="$GEO_ROOT"
else
GEO_RUNTIME_DIR="${CODEX_GEO_RUNTIME_DIR:-${CODEX_HOME:-$HOME/.codex}/geo-seo-codex}"
fi
mkdir -p "$GEO_RUNTIME_DIR"
if command -v python3 >/dev/null 2>&1; then
GEO_SYSTEM_PYTHON="python3"
elif command -v python >/dev/null 2>&1; then
GEO_SYSTEM_PYTHON="python"
elif command -v py >/dev/null 2>&1; then
GEO_SYSTEM_PYTHON="py"
else
echo "Python 3.8+ is required."
exit 1
fi
"$GEO_SYSTEM_PYTHON" -m venv "$GEO_RUNTIME_DIR/.venv"
if [ -x "$GEO_RUNTIME_DIR/.venv/bin/python" ]; then
GEO_PYTHON="$GEO_RUNTIME_DIR/.venv/bin/python"
else
GEO_PYTHON="$GEO_RUNTIME_DIR/.venv/Scripts/python.exe"
fi
"$GEO_PYTHON" -m pip install --upgrade pip
"$GEO_PYTHON" -m pip install -r "$GEO_ROOT/requirements.txt"
echo "GEO_ROOT=$GEO_ROOT"
echo "GEO_RUNTIME_DIR=$GEO_RUNTIME_DIR"
echo "GEO_PYTHON=$GEO_PYTHON"
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.
- 5d ago First seen · 121 lines · 42 tokens per session scan A bb46b013c7cb
geo-setup is a skill published in the GitHub repository bytefer/geo-seo-codex (11 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 1,079 once invoked, about $0.0002 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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