score

score is a skill for Claude Code from Hainrixz/claude-seo-ai. It costs 58 tokens per session (779 once invoked), scanned A, original, MIT.

A scoring tool for a website audit. It calculates separate scores for search-engine visibility and visibility in answers produced by AI systems, without running the audit again.

In plain words
What is it for?
Use it after an audit or with a saved findings file to display both scores, category details, severity limits, and the number of checks needing an API.
Why use it?
It avoids repeating a website crawl when you only need to review or refresh scores from existing findings. It also shows how each category affected the result.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the claude-seo-ai plugin — 34 skills, 5 agents, 1 hook shipped together

Good fit Use it after an audit or with a saved findings file to display both scores, category details, severity limits, and the number of checks needing an API.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Hainrixz/claude-seo-ai
Claude Code
/plugin install claude-seo-ai

Made for: Claude Code.

Or install claude-seo-ai, the plugin that ships this one along with the rest of its 34 skills, 5 agents, 1 hook.

Wrote 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.

agentmods badge for score

README.md
[![agentmods](https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/score/github.svg)](https://agentmods.dev/skills/hainrixz/claude-seo-ai/score)
Your own site
<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/score"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/score/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.

agentmods 80×15 button for score

Your own site · 80×15
<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/score"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/score.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 779 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00779
Opus 5 $0.00029 $0.00390
Sonnet 5 $0.00012 $0.00156
Haiku 4.5 $0.00006 $0.00078

Measured 4d ago against content hash 8ed7c82a67d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

score 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.

skills/score/SKILL.md · 21 lines

What it actually says

/claude-seo-ai:score

Recompute and show the two 0–100 scores by running the seo-score skill, which uses scripts/score.mjs for a reproducible number.

Runs live under <root>/<host>/<run-id>/, where <root> is --out$CLAUDE_SEO_AI_HOME${CLAUDE_PLUGIN_DATA}/runs~/.claude-seo-ai/runs, and <host> is the lower-cased host with :_ (local targets become local/<basename>-<hash>). score.mjs --run takes a directory or a findings file — it does not understand the word latest, so resolve the pointer yourself with Read before you call it: <root>/<host>/latest.json is { run, path, updated_at } and path is the absolute run directory; <root>/index.json lists every host with its latest run id.

  • No argument (default): read <root>/index.json, take the host whose latest run id sorts highest (run ids are UTC YYYY-MM-DDTHH-mm-ssZ, so string order is chronological), read that host's latest.json, then node "${CLAUDE_PLUGIN_ROOT}/scripts/score.mjs" --run <path from latest.json>.
  • latest:<host> → read <root>/<host>/latest.json and pass its path to --run.
  • A run directory → node "${CLAUDE_PLUGIN_ROOT}/scripts/score.mjs" --run <run-dir> (it reads <run-dir>/findings.json).
  • A findings JSON path → node "${CLAUDE_PLUGIN_ROOT}/scripts/score.mjs" --findings <path> (add --vertical a,b, --multilingual and --environment production|preview|staging|local when the file carries no run context; --manifest <crawl.json> adds the site rollup, --strict exits 2 if any finding fails schema validation, --validate-only reports the per-finding schema verdict without scoring).
  • If no index.json/latest.json exists, or the run has no findings.json, tell the user to run /claude-seo-ai:audit <url> first — never score from memory.

Show both scores with bands, the per-category breakdown, any severity-gating cap (cap_reasons), the unscored state when no category is active, and the needs_api / manual_review / dropped counts. Two scores, never blended. When an axis comes back provisional: true (state: "partial"), say the band and its coverage % in the same sentence — a band built on a third of the model is not the same claim as a measured one, and the per-axis warnings[] name what was not measured. With a rollup, read pages_scored against pages_count: a page listed in unscored_pages[] did not answer 2xx, so it was never scored — name those pages and their status instead of letting the site score stand for a sample that was not measured.

Changes

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.

  1. 4d ago Changed · +2 lines 8ed7c82a67d6
  2. 6d ago Changed · +3 lines · +7 tokens per session 5e3fac527722
  3. 12d ago First seen · 16 lines · 51 tokens per session scan A 7efd803a436b

Subscribe to this mod's changes

score is a skill published in the GitHub repository Hainrixz/claude-seo-ai (59 stars, last pushed 5d ago), licensed MIT. It adds 58 tokens to every session and 779 once invoked, about $0.0003 per session on Opus 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.

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