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-cannibalization-detectorgit 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-cannibalization-detector)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-cannibalization-detector"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-cannibalization-detector/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-cannibalization-detector"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-cannibalization-detector.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 | $0.00113 | $0.01638 |
| Opus 5.5 | $0.00045 | $0.00655 |
| Sonnet 5.5 | $0.00023 | $0.00328 |
| Haiku 4.5 | $0.00011 | $0.00164 |
Grade A, and why
aeo-cannibalization-detector 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Cannibalization Detector
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite
Detect when your own pages compete against each other for the same slots in Gemini's candidate set.
Background
Influence over AI answers happens at retrieval, not inside the model. When Gemini searches the web to answer a prompt, it builds a candidate set of pages to cite. If two of your own pages both enter that candidate set for the same prompt, you're competing against yourself — Gemini alternates between citing page A and page B, diluting the citation strength of both.
This matters because influence compounds through repeated inclusion in the recurring retrieval set. A page that gets cited 90% of the time is building authority. Two pages that each get cited 40% are neither building authority. In a search-first system like Gemini, where every response triggers web retrieval, having a single strong page in the candidate set beats splitting your authority across competing pages.
Defaults
- Model:
gemini-3-flash-preview— the same model powering Google AI Overviews - Samples: 20 runs per prompt — enough to detect citation splits
Requirements
- Gemini API key (free from aistudio.google.com) — set as
GEMINI_API_KEYenv var - Python 3.9+
- No pip dependencies (stdlib only)
Usage
# Check two prompts for cannibalization
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/detect.py --domain acme.com \
"best content optimization tools" \
"SEO content software"
# Load prompts from a file
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/detect.py --domain acme.com --prompts-file prompts.txt
# Both positional prompts and file, JSON output
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/detect.py --domain acme.com \
"content optimization" \
--prompts-file more-prompts.txt \
--output json
# Higher confidence with more runs
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/detect.py --domain acme.com \
"best SEO tools" --runs 30
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 · 157 lines · 113 tokens per session scan A 93947bae68a9
aeo-cannibalization-detector is a skill published in the GitHub repository psyduckler/aeo-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 113 tokens to every session and 1,638 once invoked, about $0.0005 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-cannibalization-detector compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aeo-cannibalization-detectorpsyduckler/aeo-skills | Skill | 13 | 5mo ago | MIT | A | 113 | 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 |