SKILLEMALL.ai

AF serp-analysis

Use when the user asks to "analyze search results", "SERP analysis", "what ranks for", "SERP features", "why does this page rank", "what is on page one for this query", "who ranks for this keyword", or "what does Google show for". Analyzes search engine results pages (SERPs) to understand ranking factors, SERP features, user intent patterns, and AI overview triggers. Essential for understanding what it takes to rank. For tracking rankings over time, see rank-tracker. For keyword discovery, see keyword-research.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 5 346 tokens Open the sourcegithub.com analyzed 2 d ago

Use when the user asks to "analyze search results", "SERP analysis", "what ranks for", "SERP features", "why does this page rank", "what is on page one for…

As a process F 51/100 · Will not run — References files that are not bundled: ../keyword-research/, ../competitor-analysis/, ../content-gap-analysis/

AnalyzerMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: ../keyword-research/, ../competitor-analysis/, ../content-gap-analysis/
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5346 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../keyword-research/
  • warning missing-ref reference to a missing file: ../competitor-analysis/
  • warning missing-ref reference to a missing file: ../content-gap-analysis/
  • warning missing-ref reference to a missing file: ../../build/seo-content-writer/
  • warning missing-ref reference to a missing file: ../../build/geo-content-optimizer/
  • warning missing-ref reference to a missing file: ../../build/meta-tags-optimizer/
  • warning missing-ref reference to a missing file: ../../build/schema-markup-generator/
  • warning missing-ref reference to a missing file: ../../optimize/on-page-seo-auditor/
  • warning missing-ref reference to a missing file: ../../optimize/technical-seo-checker/
  • warning missing-ref reference to a missing file: ../../optimize/internal-linking-optimizer/
  • warning missing-ref reference to a missing file: ../../optimize/content-refresher/
  • warning missing-ref reference to a missing file: ../../monitor/rank-tracker/
  • warning missing-ref reference to a missing file: ../../monitor/backlink-analyzer/
  • warning missing-ref reference to a missing file: ../../monitor/performance-reporter/
  • warning missing-ref reference to a missing file: ../../monitor/alert-manager/
  • warning missing-ref reference to a missing file: ../../cross-cutting/content-quality-auditor/
  • warning missing-ref reference to a missing file: ../../cross-cutting/domain-authority-auditor/
  • warning missing-ref reference to a missing file: ../../cross-cutting/entity-optimizer/
  • warning missing-ref reference to a missing file: ../../cross-cutting/memory-management/
  • warning missing-ref reference to a missing file: ../../CONNECTORS.md

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: ../keyword-research/, ../competitor-analysis/, ../content-gap-analysis/
  • 0Tools and files. 20 referenced file(s) missing: ../keyword-research/, ../competitor-analysis/, ../content-gap-analysis/
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5346 tokens
  • 85Steps. 54 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 13 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 516: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 54 items
  • +3Output format is stated explicitly
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.