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-competitor-monitorgit 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-competitor-monitor)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-competitor-monitor"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-competitor-monitor/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-competitor-monitor"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-competitor-monitor.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 | $0.00104 | $0.02181 |
| Opus 5.5 | $0.00042 | $0.00872 |
| Sonnet 5.5 | $0.00021 | $0.00436 |
| Haiku 4.5 | $0.00010 | $0.00218 |
Grade A, and why
aeo-competitor-monitor 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Competitor Monitor
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite
Track which competitors get cited in AI Overviews — and how that changes over time.
Why This Matters
AI Overviews create a new competitive landscape. Influence happens at retrieval, not inside the model — the sources Gemini cites for your key prompts form the recurring retrieval set, and those are your real competitors. Gemini is search-first, searching before nearly every answer — influence compounds through repeated inclusion in this set. Tracking citation share over time reveals shifts in the recurring retrieval set:
- Who's gaining ground — new content entering the recurring retrieval set
- Who's losing ground — previously-cited pages dropping out of the candidate set
- Market dynamics — how the retrieval set shifts with content updates, algorithm changes
- Your relative position — where you stand in the candidate set vs competitors
Requirements
- Gemini API key (free) — set as
GEMINI_API_KEYenv var - Python 3.9+
- No pip dependencies (stdlib only)
Usage
Scan — Run a new competitive scan
# Scan two prompts, tracking three competitors
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/monitor.py scan \
--prompts "best SEO tools" "content optimization software" \
--competitors acme.com surferseo.com semrush.com \
--data-file monitor-data.json
# With custom run count
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/monitor.py scan \
--prompts "best SEO tools" \
--competitors acme.com surferseo.com \
--data-file monitor-data.json \
--runs 30
Report — Generate a comparison report
# Text report
python3 scripts/monitor.py report --data-file monitor-data.json
# JSON report
python3 scripts/monitor.py report --data-file monitor-data.json --output json
What ships with it
2 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 · 259 lines · 104 tokens per session scan A 631ec52a5ec3
aeo-competitor-monitor is a skill published in the GitHub repository psyduckler/aeo-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 104 tokens to every session and 2,181 once invoked, about $0.0004 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-competitor-monitor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aeo-competitor-monitorpsyduckler/aeo-skills | Skill | 13 | 5mo ago | MIT | A | 104 | 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 |