Skills serp-analysis

📦

serp-analysis

Name: serp-analysis
Author: aaron-he-zhu

v17.0.0 Content revision r1 Safe ⚙️ External commands🌐 Network access📁 Filesystem access🔑 Env variables

Analyze SERPs and Find Ranking Opportunities

Search results change by query, location, device, and time. This skill turns live or supplied SERP evidence into prioritized ranking and content recommendations.

Supports: Claude Codex Code(CC)

🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "serp-analysis" from https://skillstore.io/skills/aaron-he-zhu-serp-analysis.md and its manifest at https://skillstore.io/api/skills/aaron-he-zhu-serp-analysis/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/aaron-he-zhu-serp-analysis.md Signed manifest GET /api/skills/aaron-he-zhu-serp-analysis/manifest Signed lockfile GET /api/skills/aaron-he-zhu-serp-analysis/lockfile

Test it

Using "serp-analysis". Analyze the SERP for project management software using the supplied desktop screenshot.

Expected outcome:

Intent: Commercial investigation, supported by comparison pages, vendor pages, ads, and review results.
Primary opportunity: Publish a transparent comparison with pricing, use cases, limitations, and an updated evaluation method.
Evidence status: Screenshot observations are user-provided; backlink requirements remain unavailable.

Using "serp-analysis". Compare local SERPs for emergency plumber in Bristol and Bath.

Expected outcome:

Both markets show strong local intent through map packs and service pages.
Bristol appears more competitive because established directories and larger providers occupy more visible positions.
Recommended focus: Build location-specific service proof, review coverage, and complete business profile information.

Security Audit

Safe

v5 • 7/12/2026 Open versioned report

Two command findings are confirmed because the skill directs agents to execute connector scripts outside the audited package, which also initiate network searches. The other 26 alerts are Markdown fences, documentation links, local output paths, or harmless metadata references, and no semantic threat was found.

Files scanned

416

Lines analyzed

Review items

False positives ignored

Capability review items (2)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium

SKILL.md:49

Ruby/shell backtick execution

**Zero-dependency live SERP (keyless)**: `python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/firecraw

Line 49 instructs the agent to run a Python connector outside this audited skill package and perform a live network search. The connector implementation is unavailable here, so its command and data-handling behavior cannot be verified.

Medium

SKILL.md:51

Ruby/shell backtick execution

**Second keyless engine for corroboration**: `python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/tavi

Line 51 instructs the agent to execute another external Python connector that performs network searches and optional answer synthesis. The referenced script is outside the audited files.

Risk Factors

⚙️ External commands (17)

SKILL.md:23-25 SKILL.md:25-27 SKILL.md:27-29 SKILL.md:29-33 SKILL.md:33-37 SKILL.md:37 SKILL.md:49 SKILL.md:51 SKILL.md:82-84 SKILL.md:84-88 SKILL.md:88-90 SKILL.md:90-94 SKILL.md:94-96 SKILL.md:96-100 SKILL.md:100-102 SKILL.md:102-116 SKILL.md:116

🌐 Network access (2)

SKILL.md:10 SKILL.md:14

📁 Filesystem access (8)

SKILL.md:39 SKILL.md:43 SKILL.md:47 SKILL.md:49 SKILL.md:112 SKILL.md:116 SKILL.md:123 SKILL.md:127

🔑 Env variables (1)

SKILL.md:49

Audited by: codex View Audit History →

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/aaron-he-zhu-serp-analysis/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/aaron-he-zhu-serp-analysis/security.svg)](https://skillstore.io/skills/aaron-he-zhu-serp-analysis?utm_source=security_passport_badge)

HTML badge

<a href="https://skillstore.io/skills/aaron-he-zhu-serp-analysis?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/aaron-he-zhu-serp-analysis/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Embed card

<iframe src="https://skillstore.io/embed/skills/aaron-he-zhu-serp-analysis.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Academic citations (APA · BibTeX · CFF)

APA citation

aaron-he-zhu. (2026). serp-analysis security audit report (audit version 5) [Author version 17.0.0]. Skillstore. https://skillstore.io/skills/aaron-he-zhu-serp-analysis/audits/5

BibTeX citation

@techreport{aaron-he-zhu-aaron-he-zhu-serp-analysis-2026,
  author = {aaron-he-zhu},
  title = {serp-analysis security audit report (audit version 5)},
  institution = {Skillstore},
  year = {2026},
  number = {5},
  url = {https://skillstore.io/skills/aaron-he-zhu-serp-analysis/audits/5},
  note = {Author version 17.0.0}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "serp-analysis security audit report (audit version 5)"
version: "17.0.0"
type: report
authors:
  - name: "aaron-he-zhu"
date-released: "2026-07-12"
url: "https://skillstore.io/skills/aaron-he-zhu-serp-analysis/audits/5"
identifiers:
  - type: other
    value: "skillstore:aaron-he-zhu-serp-analysis:audit:5"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

100

Maintainability

Content

Community

Spec Compliance

What You Can Build

Plan a competitive article

Identify the format, depth, evidence, and SERP features a new article must address.

Prioritize SEO targets

Compare candidate queries by intent, ranking barriers, volatility, and site-stage fit.

Find AI visibility opportunities

Review AI Overview citations, answer formats, video results, and structured content opportunities.

Try These Prompts

Analyze one query

Analyze the current SERP for [keyword] in [location] on [device]. Identify intent, visible features, top-result formats, and three practical opportunities.

Evaluate supplied evidence

Using these SERP screenshots or URLs for [keyword], compare the top results. Explain ranking patterns, content requirements, and feature opportunities with evidence.

Compare keyword SERPs

Compare SERPs for [keyword 1], [keyword 2], and [keyword 3] in [location]. Highlight overlap, intent differences, difficulty, and the best target.

Run a multi-market audit

Audit [keyword] across [locations] and [devices], then compare current and historical evidence. Score difficulty, volatility, site-stage fit, and AI visibility opportunities.

Best Practices

Provide the target location, language, device, date, and current SERP evidence.
Label every metric as measured, user-provided, estimated, or unavailable.
Support intent and difficulty conclusions with specific features and ranking pages.

Avoid

Do not treat a generic organic result API as a complete view of SERP features.
Do not present estimated authority, links, traffic, or difficulty inputs as measured facts.
Do not reuse one market's SERP conclusions for another location, device, or date.