web-report

web-report is a skill for Claude Code from DouglasRao/Claude-Pentest-Skills. It costs 102 tokens per session (3,764 once invoked), scanned A, a copy of ad-report, MIT.

Instructions for producing a report from a web penetration test, which checks a website for security weaknesses. It combines reconnaissance, exploitation, post-exploitation, and screenshot evidence into technical and executive sections.

In plain words
What is it for?
Use it to collect findings from earlier web-security investigations, review evidence, write the report, and publish the finished result to Notion.
Why use it?
It organizes confirmed security findings into a consistent report for both technical teams and decision-makers. It also supports different report scopes, including combined, technical, and executive formats.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-pentest-skills plugin — 8 skills shipped together

Good fit Use it to collect findings from earlier web-security investigations, review evidence, write the report, and publish the finished result to Notion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/douglasrao/claude-pentest-skills/web-report
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add DouglasRao/Claude-Pentest-Skills --skill web-report
Clone the repo
git clone --depth 1 https://github.com/DouglasRao/Claude-Pentest-Skills

Made for: Claude Code.

Or install claude-pentest-skills, the plugin that ships this one along with the rest of its 8 skills.

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 web-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/douglasrao/claude-pentest-skills/web-report"><img src="https://agentmods.dev/badge/skills/douglasrao/claude-pentest-skills/web-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,764 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 88% copy Near-identical to another mod 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 $0.00102 $0.03764
Opus 5 $0.00051 $0.01882
Sonnet 5 $0.00020 $0.00753
Haiku 4.5 $0.00010 $0.00376

Measured 12d ago against content hash 70dfc6797c13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

web-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.

Origin

This is a copy

88% identical to ad-report — 417 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/web-report/SKILL.md · 373 lines

How it starts

The opening of the file, as written. The whole thing — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Report — Technical & Executive Report Generation

Architecture

This skill is Claude-driven. It reads output directories from prior skills, organizes all confirmed findings, writes the full report in the correct format, reviews it twice, and publishes to Notion.

Input directories (any combination):
  $RECON_OUT    — web-recon output (nuclei findings, live hosts, JS secrets, CMS results)
  $EXPLOIT_OUT  — web-exploitation output (sqli/, xss/, lfi/, ssrf/, auth/, findings/)
  $POSTEX_OUT   — web-postexploitation output (if applicable)
  $EVIDENCE_DIR — screenshots directory (gowitness/, manual captures)

Initial Setup

TARGET="https://target.com"
DOMAIN="target.com"
CLIENT="Client Company Name"
ENGAGEMENT="Web Application Penetration Test"
TESTER="[Your Name / Company]"
DATE="$(date +%Y-%m-%d)"

RECON_OUT="$(pwd)/target"
EXPLOIT_OUT="$(pwd)/target-exploit"
POSTEX_OUT="$(pwd)/target-postex"       # leave empty if not applicable
EVIDENCE_DIR="$(pwd)/target/evidence"

# Report mode — default: combined (recommended)
REPORT_MODE="combined"  # options: combined | technical | executive

Create progress tasks with TaskCreate:

"PHASE 1 — Finding Triage & Consolidation"
"PHASE 2 — Evidence Collection & Organization"
"PHASE 3 — Report Writing"
"PHASE 4 — Review #1 (completeness and technical accuracy)"
"PHASE 5 — Review #2 (clarity, language, formatting)"
"PHASE 6 — Notion Publication"

Report Modes

Mode Target audience What it includes
combined (default) Mixed — technical and management Full technical detail + executive sections with plain-language explanations. Recommended when audience is unknown.
technical Security team, developers Full technical detail, commands, payloads, reproduction steps
executive C-level, managers, non-technical Summary, business impact, risk ratings, no raw payloads or commands

When mode is not specified: always use combined.

Read the full file on GitHub · 373 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 · 373 lines · 102 tokens per session scan A 70dfc6797c13

Subscribe to this mod's changes

web-report is a skill published in the GitHub repository DouglasRao/Claude-Pentest-Skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 102 tokens to every session and 3,764 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to ad-report, differing in 417 lines, and is treated as a copy.

Related

Other skills, from other repositories

auditing-azure-active-directory-configuration

Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.

xalgorix/xalgorix · 58 tokens

deploying-active-directory-honeytokens

Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use…

xalgorix/xalgorix · 101 tokens

analyzing-windows-event-logs-in-splunk

Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or…

26zl/cybersec-toolkit · 81 tokens

deploying-active-directory-honeytokens

Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use…

26zl/cybersec-toolkit · 101 tokens

conducting-internal-reconnaissance-with-bloodhound-ce

Conduct internal Active Directory reconnaissance using BloodHound Community Edition to map attack paths, identify privilege escalation chains, and discover misconfigurations in domain environments.

26zl/cybersec-toolkit · 44 tokens

configuring-active-directory-tiered-model

Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory. Covers Tier 0/1/2 separation, privileged access workstations (PAWs), administrative f.

26zl/cybersec-toolkit · 46 tokens