arwp-search-maturity

arwp-search-maturity is a skill for Claude Code, Codex from dkharlanau/agent-ready-web-profile. It costs 72 tokens per session (2,205 once invoked), scanned A, original, Apache-2.0.

A research workflow for comparing a target website with visible reference pages in search and AI systems. It records observations and turns repeated differences into experiments rather than assumed ranking rules.

In plain words
What is it for?
It is for analysing search or AI reference sites, identifying observable gaps, and prioritising experiments for a target site.
Why use it?
It replaces vague competitor checklists with documented comparisons, timestamps, and evidence about what is actually visible.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node bin/arwp-search-maturity.mjs check \.

Good fit It is for analysing search or AI reference sites, identifying observable gaps, and prioritising experiments for a target site.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/dkharlanau/agent-ready-web-profile
agentmods
npx agentmods add skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity

Made for: Claude Code, Codex.

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 arwp-search-maturity

README.md
[![agentmods](https://agentmods.dev/badge/skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity/github.svg)](https://agentmods.dev/skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity)
Your own site
<a href="https://agentmods.dev/skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity"><img src="https://agentmods.dev/badge/skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity/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 arwp-search-maturity

Your own site · 80×15
<a href="https://agentmods.dev/skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity"><img src="https://agentmods.dev/badge/skills/dkharlanau/agent-ready-web-profile/arwp-search-maturity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,205 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 $0.00072 $0.02205
Opus 5 $0.00036 $0.01103
Sonnet 5 $0.00014 $0.00441
Haiku 4.5 $0.00007 $0.00220

Measured 2d ago against content hash 5ca01acc2dd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

arwp-search-maturity 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/evidence-relay.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/arwp-search-maturity/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ARWP Search Maturity

Use this specialist when the Growth Loop needs a reference cohort, not another generic checklist.

Use docs/ANTI-PATTERNS.md to review fabricated maturity, weak evidence and measurement errors; preserve unknown states and legitimate countercases. Record findings with templates/growth/anti-pattern-review.md.

Goal

Turn volatile Search/AI observations into an explainable comparison:

intent → timestamped visible references → observable evidence vector → cohort pattern → target gap → experiment → verify → measure

The output is a hypothesis generator and prioritization input. It is not a list of secret ranking factors.

Sources of truth

Read:

  • docs/SEARCH-MATURITY-BENCHMARK.md;
  • docs/INTERNAL-DISCOVERY-EVIDENCE.md when reviewing internalTopicalGraph;
  • docs/INTENT-OWNERSHIP.md when owner query/grounding evidence may imply a new or competing canonical page;
  • schema/search-maturity-corpus.schema.json;
  • the relevant reviewed corpus under benchmarks/search-maturity/;
  • current primary platform guidance;
  • the target site's actual content, entity, Search Surface and owner evidence where available.

Workflow

  1. Define the intent family first. Do not benchmark unrelated high-authority sites merely because they rank for something.
  2. Resolve intent ownership before creating URLs. When owner Search/AI evidence exists, map the intent family to a reviewed disposition and zero/one/multiple canonical owners with arwp-intent-ownership. Strengthen an existing owner first; query or fan-out variation is not a page-creation instruction. Deliberately decline query mismatches instead of turning them into owner gaps.
  3. Capture the visibility observation exactly. Preserve provider/surface, query, locale/device when known and observation time. Store a numeric rank only when explicit rankEvidence independently supports that exact rank.
  4. Separate ownership. Independent references can inform the external cohort. ARWP-owned/project-reference sites remain implementation/dogfood evidence.
  5. Review only observable dimensions. Use the 16 Search Maturity dimensions. Omit anything not actually checked; omission is unknown, never failure.
  6. Classify evidence. Keep documented-platform, observed-correlation, experiment and unknown distinct.
  7. Compile the cohort vector. Prefer repeated patterns and state distributions over a universal score.
  8. Compare the target. A target gap is interesting only when the reference pattern is sufficiently repeated and the target evidence is real.
  9. Perform applicability review. Ask whether closing the gap improves the actual user/evidence artifact. Reject cosmetic copying and cargo cult.
  10. Route accepted work through existing ARWP machinery. Growth hypothesis → Adaptive Upgrade → safe transformation/manual edit → verification receipt.
  11. Probe owner production surfaces after source changes. Capture the bounded HTTP/robots/noindex/canonical observation in a derived ledger. A successful probe means evidence was collected, not that production is ready.
  12. Gate served intent owners separately. Run the deterministic ownership gate over the observed ledger. A served family must have exactly one currently indexable owner; preserve the proof artifact on failure. Reviewed decline families are intentionally excluded.
  13. Verify source→production parity separately. Technical owner eligibility does not identify the deployed commit. Use deployment/change receipts when that distinction matters.
  14. Measure external outcomes separately. Search visibility, AI retrieval/citation, referral traffic and business outcomes are different signals.
  15. Preserve negative results. A change with no effect is useful evidence and should influence future priors.

Read the full file on GitHub · 181 lines

Files

What ships with it

1 file 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.

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. 2d ago Changed · +51 lines 5ca01acc2dd5
  2. 3d ago First seen · 130 lines · 72 tokens per session scan A 271ddd76df80

Subscribe to this mod's changes

arwp-search-maturity is a skill published in the GitHub repository dkharlanau/agent-ready-web-profile (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 72 tokens to every session and 2,205 once invoked, about $0.0004 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 2026-09-08.

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