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 iamwaqargulzar/Marketing-Agent-OS --skill geo-proposalgit clone --depth 1 https://github.com/iamwaqargulzar/Marketing-Agent-OSWrote 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/iamwaqargulzar/marketing-agent-os/geo-proposal)<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/geo-proposal"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/geo-proposal/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/iamwaqargulzar/marketing-agent-os/geo-proposal"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/geo-proposal.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 | $0.00040 | $0.00690 |
| Opus 5 | $0.00020 | $0.00345 |
| Sonnet 5 | $0.00008 | $0.00138 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
geo-proposal 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 6d 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
72% identical to impeccable — 315 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geo Proposal
Quick Start
Use this skill for geo proposal. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.
Compatibility routing: this source-facing name delegates to sales-enablement while preserving its narrower semantics.
Skill Contract
- Reads: user-provided context; relevant project files;
.agents/product-marketing.mdwhen present; approved public or connected data sources. - Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
- Evidence: label consequential claims as
measured,user-provided,calculated,estimated, orproxy. Never upgrade uncertainty silently. - Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
- Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.
Instructions
- Read the task as
geo-proposalfor compatibility, then apply the workflow insales-enablement. - Preserve any narrower intent implied by the compatibility name instead of broadening the task.
- Mention the canonical skill only when that helps the user understand routing; do not force migration.
- Return the same evidence labels, permission boundaries and handoff shape as canonical skills.
Domain Checklist
- Intent and query/entity scope
- Crawl/index/renderability
- Information architecture and internal links
- On-page relevance and uniqueness
- Structured data accuracy
- Performance and UX signals
- Authority/brand/citation evidence
- AI crawler and answer-engine readiness
- Measurement and change monitoring
Output
Return the smallest useful artifact for the task. For analyses, structure findings as: Observation → Evidence → Interpretation → Recommendation → Validation. For plans, include owner/next action, metric, dependency and risk where relevant.
What ships with it
11 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.
- references/connectors.md 1.2 KB
- references/product-context-schema.md 855 B
- references/routing-policy.md 1.6 KB
- references/skill-contract.md 2.4 KB
- scripts/brand_scanner.py 654 B runs code
- scripts/citability_scorer.py 1.5 KB runs code
- scripts/fetch_page.py 4.2 KB runs code
- scripts/generate_markdown_report.py 1.4 KB runs code
- scripts/generate_pdf_report.py 839 B runs code
- scripts/llmstxt_generator.py 762 B runs code
- scripts/schema_generator.py 1.3 KB runs code
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.
- 6d ago First seen · 75 lines · 40 tokens per session scan A cf2ccf75a9c0
geo-proposal is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (3 stars, last pushed 7d ago), licensed Apache-2.0. It adds 40 tokens to every session and 690 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 72% identical to impeccable, differing in 315 lines, and is treated as a copy.
Other skills, from other repositories
ansvisor-aeo-coach-standalone
Standalone (no-MCP) version of the Ansvisor AEO Coach. Use this only when the user's Claude client cannot connect to the Ansvisor MCP server (e.g. claude.ai web without a Connector configured). Fetches live data from the Ansvisor REST API directly with the user's API key via code execution. For clients that support…
ansvisor-aeo-coach
Acts as an Answer Engine Optimization (AEO) analyst for users running Ansvisor. Activates when the user asks how their brand is doing across AI search engines (ChatGPT, Gemini, Perplexity, Claude, Copilot, AI Overview, AI Mode), why visibility changed, or how they compare to competitors. Uses the Ansvisor MCP server…
seo-vertical-detect
Classify a website as ecommerce, local-business, blog-publisher, saas, docs, or generic (multiple may apply), and report detected locales, from the persisted PageSnapshot plus the platform detector's vertical hints. Used by seo-orchestrator to decide which conditional modules to run and how to reweight the scores.
seo-fix-apply
Writer protocol preloaded into the seo-fixer-writer agent — how confirmed SEO/AI-search fixes are applied (git pre-flight, backup, Edit/Write for local diffs, ticketed adapter CLIs for remote targets, re-verify, publish only on a second ticket, rollback) and the findings-array output contract. Used only by the fix…
audit
Audit a website or web codebase for SEO and AI-search (GEO/AEO) — produces two independent 0-100 scores (Search SEO + AI Visibility) plus a prioritized, evidence-backed report persisted on disk. Read-only; never writes to the project. Use when the user asks to audit, analyze, check, or score a site's SEO, structured…
amazing-seo-skill
SEO + AEO + GEO analysis for any website (SaaS, e-commerce, local, publisher, agency). Full-site audits, single-page deep-dive, technical SEO (crawl, index, CWV with INP, JS-rendering), Schema.org detection/validation/gen, E-E-A-T content quality, image optimization, sitemap, hreflang, programmatic SEO, competitor…