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 psyduckler/aeo-skills --skill aeo-initgit clone --depth 1 https://github.com/psyduckler/aeo-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/psyduckler/aeo-skills/aeo-init)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-init"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-init/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/psyduckler/aeo-skills/aeo-init"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-init.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 | $0.00148 | $0.01389 |
| Opus 5.5 | $0.00059 | $0.00556 |
| Sonnet 5.5 | $0.00030 | $0.00278 |
| Haiku 4.5 | $0.00015 | $0.00139 |
Grade A, and why
aeo-init 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 2mo 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Init
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite Output schema: aeo-config-v1
The workspace bootstrapper. One command, one config file, then aeo-baseline knows what to measure.
Requirements
- Python 3.9+
- No API keys (this skill never calls a provider)
- Optional:
pip install jsonschemafor full schema validation at write time
Usage
# Interactive — walks through every field
python3 scripts/init.py
# Flag-driven — best for agent use
python3 scripts/init.py \
--brand Tabiji --domain tabiji.ai \
--alias tabiji \
--competitor tripadvisor.com --competitor lonelyplanet.com \
--prompt "best travel planning tools" \
--prompt "AI travel apps for itineraries" \
--prompt-intent commercial --prompt-intent commercial
# Print the would-be config without writing
python3 scripts/init.py --brand X --domain x.com --prompt "best X" --dry-run
# Overwrite an existing config (safety: refuses unless --force)
python3 scripts/init.py --brand NewName --domain new.com --force
# Custom output path
python3 scripts/init.py --output /path/to/aeo.config.json ...
Interactive mode triggers automatically when neither --brand nor a useful flag combination is provided. Pass --interactive to force it even with flags.
Options
| Option | Description |
|---|---|
--brand |
Brand/company name to track (required for non-interactive mode) |
--domain |
Brand's primary domain (e.g. example.com) |
--alias (repeatable) |
Alternate spellings/abbreviations |
--competitor (repeatable) |
Competitor domains to track |
--prompt (repeatable) |
Prompts to track for visibility |
--prompt-intent (repeatable) |
Intent for each --prompt, paired by position |
--locale |
BCP-47 locale (default: en-US) |
--persona |
Optional persona prefix used by some downstream skills |
--output PATH |
Where to write the config (default: ./aeo.config.json) |
--data-dir PATH |
Where baselines should write evidence files |
--force |
Overwrite an existing config without prompting |
--interactive |
Force interactive prompts even when flags are set |
--dry-run |
Print the config to stdout instead of writing |
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.
- 2mo ago First seen · 119 lines · 148 tokens per session scan A f5a0d32432d7
aeo-init is a skill published in the GitHub repository psyduckler/aeo-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 148 tokens to every session and 1,389 once invoked, about $0.0006 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.
aeo-init compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aeo-initpsyduckler/aeo-skills | Skill | 13 | 5mo ago | MIT | A | 148 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |