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 ansvisor/ansvisor --skill marketsgit clone --depth 1 https://github.com/ansvisor/ansvisorWrote 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/ansvisor/ansvisor/markets)<a href="https://agentmods.dev/skills/ansvisor/ansvisor/markets"><img src="https://agentmods.dev/badge/skills/ansvisor/ansvisor/markets/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/ansvisor/ansvisor/markets"><img src="https://agentmods.dev/badge/skills/ansvisor/ansvisor/markets.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 | $0.00014 | $0.00385 |
| Opus 5.5 | $0.00006 | $0.00154 |
| Sonnet 5.5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
markets 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 4d 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.
This is a copy
100% identical to markets — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Who AI recommends by market
Who AI engines recommend in each market the brand tracks, and where a competitor leads in one market but not in the others.
When to use
- "Where in Germany does AI send buyers to rivals?", "Market snapshot", "How do we do in each country?"
- For the sources AI cites in a market, the Listing gaps skill fits better.
What to read
list_prompts: the locations each prompt tracks. A market is a location the brand's prompts track.get_visibility_summaryandget_competitor_comparisonfor each market: the brand's place and the competitors'.list_ai_answersfor the market's prompts: which brands each engine recommends there, and how buyers ask.list_citationsfor the market: the sources behind those answers.
Steps
- List the markets the brand tracks. With only one, compare languages or segments instead, and say so.
- For each market: the brands AI recommends most, and the brand's place.
- Where a competitor leads in one market but not in the others, say where, on which prompts, and which sources back it.
- Note the markets with too few answers to tell anything yet.
Output
- One table per market: Brand, Mentioned in, Recommended in, Top prompt.
- "Where to start": the market and prompts where a change would count most.
Don't
- Don't name a market the brand doesn't track.
- Don't guess a market's size or the brand's sales there.
- Don't compare markets with too few answers to tell.
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.
- 4d ago First seen · 43 lines · 14 tokens per session scan A d488b3f4107a
markets is a skill published in the GitHub repository ansvisor/ansvisor (232 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 385 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to markets, differing in 0 lines, and is treated as a copy.
markets compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| marketsansvisor/ansvisor | Skill | 232 | yesterday | MIT | A | 14 | Claude Code, Codex |
| orangeo-ai-visibility-skillOranAi-Ltd/orangeo-ai-visibility-skill | Skill | 144 | 5mo ago | MIT | A | 119 | Codex |
| mcp-geoAKzar1el/mcp-geo | Skill | 40 | today | MIT | A | 42 | Claude Code |
| ai-visibilitypetar-nauka/ai-visibility-skill | Skill | 9 | 3mo ago | MIT | A | 208 | Claude Code, Codex |
| web-optimizationstaksoft/geo-seo-aeo-skill | Skill | 7 | 4mo ago | MIT | A | 105 | Claude Code, Codex |
| crazyseod08m/crazyseo | Skill | 4 | 3mo ago | AGPL-3.0 | A | 89 | Claude Code |
| fulcrugsmmediaro/fulcru | Skill | 0 | 3mo ago | AGPL-3.0 | A | 0 | Claude Code |