market-report

market-report is a skill for Claude Code, Codex from rediumvex/ai-marketing-claude. It costs 77 tokens per session (1,234 once invoked), scanned A, original, MIT.

A report-building skill combines existing marketing audit files into one client-ready document in Markdown or PDF. Markdown is plain text with formatting; PDF is a fixed-layout document.

In plain words
What is it for?
Use it to assemble marketing audits into a final report, provided the relevant audit files already exist.
Why use it?
It saves you from manually collecting scores, findings, and recommendations from separate audit files.

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 python3 scripts/generate_pdf_report.py /tmp/report_data.json "MARKETING-REPORT-<domain>.pdf".

Good fit Use it to assemble marketing audits into a final report, provided the relevant audit files already exist.

Compare 6 skills from other repositories ↓
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/rediumvex/ai-marketing-claude
agentmods
npx agentmods add skills/rediumvex/ai-marketing-claude/market-report

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 market-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rediumvex/ai-marketing-claude/market-report"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,234 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 $0.00077 $0.01234
Opus 5 $0.00039 $0.00617
Sonnet 5 $0.00015 $0.00247
Haiku 4.5 $0.00008 $0.00123

Measured 12d ago against content hash 33df398bb28b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

market-report 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 12d 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/market-report/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Market Report — Consolidated Deliverable

Compile the outputs of previous /market skills into one cohesive client-ready report. Markdown by default; PDF with --format pdf.

Pre-flight

  1. Scan the project root for any of these artifacts:

    • MARKETING-AUDIT.md
    • LANDING-CRO.md
    • SEO-AUDIT.md
    • BRAND-VOICE.md
    • COMPETITOR-ANALYSIS.md
    • FUNNEL-ANALYSIS.md
    • LAUNCH-PLAN.md
  2. If none exist: tell the user they should run /market audit <url> first. Offer to run it.

  3. If some exist: use what's there; don't re-analyze unless data is stale or contradictory.

  4. Extract scores, findings, and recommendations from each file. Normalize category names across files (they should already match, but verify).

  5. Determine the format--format md (default) or --format pdf.

Report Assembly

Build a JSON data structure that feeds either the Markdown template or the PDF generator:

{
  "url": "https://example.com",
  "brand_name": "Example",
  "date": "YYYY-MM-DD",
  "business_type": "SaaS",
  "overall_score": 62,
  "grade": "D",
  "executive_summary": "2–4 sentences.",
  "categories": {
    "Content & Messaging": {"score": 68, "weight": "25%", "top_finding": "..."},
    "Conversion Optimization": {"score": 52, "weight": "20%", "top_finding": "..."},
    "SEO & Discoverability": {"score": 74, "weight": "20%", "top_finding": "..."},
    "Competitive Positioning": {"score": 48, "weight": "15%", "top_finding": "..."},
    "Brand & Trust": {"score": 70, "weight": "10%", "top_finding": "..."},
    "Growth & Strategy": {"score": 55, "weight": "10%", "top_finding": "..."}
  },
  "findings": [
    {"severity": "Critical", "title": "...", "evidence": "...", "fix": "...", "impact": "..."}
  ],
  "quick_wins": ["..."],
  "medium_term": ["..."],
  "strategic": ["..."],
  "competitors": [
    {"name": "...", "positioning": "...", "pricing": "...", "social_proof": "...", "content": "..."}
  ]
}

Save to /tmp/report_data.json.

Read the full file on GitHub · 151 lines

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. 12d ago First seen · 151 lines · 77 tokens per session scan A 33df398bb28b

Subscribe to this mod's changes

market-report is a skill published in the GitHub repository rediumvex/ai-marketing-claude (38 stars, last pushed 5mo ago), licensed MIT. It adds 77 tokens to every session and 1,234 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 2026-08-30.

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