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 iradoweck/antigravity-awesome-skills --skill altorankgit clone --depth 1 https://github.com/iradoweck/antigravity-awesome-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/iradoweck/antigravity-awesome-skills/altorank)<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/altorank"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/altorank/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/iradoweck/antigravity-awesome-skills/altorank"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/altorank.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 | $0.00030 | $0.01898 |
| Opus 5.5 | $0.00012 | $0.00759 |
| Sonnet 5.5 | $0.00006 | $0.00380 |
| Haiku 4.5 | $0.00003 | $0.00190 |
Grade A, and why
altorank 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 3d 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
97% identical to altorank — 7 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AltoRank
AltoRank (https://altorank.co) is open-source SEO content software. Its tools
come from the altorank MCP server. You can audit whether search engines and
AI assistants can read a site, read an account, create drafts, move
planned keywords, edit a draft by find-and-replace, and pause or resume a
workspace. A person decides what publishes. There is no approve, hold or
delete tool and no tool that publishes a draft, and you must not look for a
way around that. The one publish-side tool, altorank_retry_publish, only
re-runs a failed publish of an article a person already approved.
When to Use
- Use when the user asks about SEO or AI-search (GEO) readiness of a site, Search Console numbers, keyword research, or drafting articles for their site with AltoRank.
- Use when the user wants missing JSON-LD proposed for a page, or a readiness report for any public domain.
- Requires an AltoRank account (hosted, or a self-hosted install) and the
altorankMCP server connected.
Connect once
If the altorank tools are missing, tell the user:
- Claude Code:
claude mcp add --transport http altorank https://app.altorank.co/api/mcp, then/mcp→ altorank → Authenticate (OAuth in the browser) - Optional plugin: use an already reviewed local plugin. If unavailable, stop and report the missing prerequisite; this skill does not install external plugins.
- Other MCP clients: add a Streamable HTTP server at
https://app.altorank.co/api/mcpand sign in with OAuth. Self-hosted installs use their own origin.
Two kinds of tools
- Any domain:
altorank_check_readiness,altorank_propose_schema,altorank_generate_machine_readable,altorank_readiness_report. Work on any public domain, not only the person's own sites. - Workspace tools: everything else. They act on the person's AltoRank
account. Write access is opt-in on the OAuth consent screen; a
forbiddenerror means they did not grant it.unauthorizedmeans the connection expired and the person has to reconnect.
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.
- 3d ago First seen · 156 lines · 30 tokens per session scan A 63e9987327e8
altorank is a skill published in the GitHub repository iradoweck/antigravity-awesome-skills (30 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 1,898 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to altorank, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
altorank
Run AltoRank through its hosted MCP server: readiness audits, Search Console, keyword research, and SEO drafts into a review queue.
zens-ink
Free SEO toolkit for indie builders. 22 zero-dependency Python tools covering the full SEO workflow: keyword discovery (Google Autocomplete), keyword clustering (semantic grouping), keyword difficulty (SERP structure analysis, no Ahrefs needed), KGR opportunity scoring, search volume (Bing + Brave), real Ahrefs Domain…
geo-readiness
Make a site citable by AI engines (ChatGPT, Perplexity, Google AI Overviews) — Generative Engine Optimization. Audits robots.txt AI-crawler policy and the llms.txt layer, generates llms.txt / llms-full.txt from a static build or sitemap, and plans Query Fan-out content (the sub-queries AI engines spawn from a seed…
keyword-difficulty
Estimate keyword difficulty from SERP structure — no Ahrefs subscription. Analyzes who actually ranks (homepage vs inner pages, platform ecosystems, brand-word fingerprints, winnable seat count) and outputs a difficulty verdict with an entry strategy. Use when the user asks "how hard is this keyword", "can I rank for…
keyword-research
Find low-competition keyword opportunities without paid tools (Ahrefs, Semrush). Runs real zero-dependency Python CLIs: Google Autocomplete discovery (with a-z long-tail expansion), semantic clustering, Bing volume lookup, and automated KGR opportunity scoring. Use when the user wants keyword ideas for a niche, asks…
rank-tracking
Track keyword rankings in a local SQLite history, pull real Google Search Console performance (impressions, clicks, position by query and page), and look up Ahrefs Domain Rating via the free public API with local caching. Use when the user asks "track my rankings", "how is my site performing in Google", "check my…