report-agent

report-agent is an agent for Claude Code from waybarrios/cyber-agent. It costs 34 tokens per session (774 once invoked), scanned A, original, no licence file.

A writing assistant for security assessment reports. It turns the results of a penetration test—a controlled attempt to find security weaknesses—into Markdown reports using OWASP and PTES guidance.

In plain words
What is it for?
Use it after a red-team assessment to document vulnerabilities, testing results, and conclusions in Markdown.
Why use it?
It removes the need to structure and write a professional report from raw attack findings by hand.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/waybarrios/cyber-agent/report-agent
Clone the repo
git clone --depth 1 https://github.com/waybarrios/cyber-agent

Made for: Claude Code.

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 report-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/waybarrios/cyber-agent/report-agent.svg)](https://agentmods.dev/agents/waybarrios/cyber-agent/report-agent)
Your own site
<a href="https://agentmods.dev/agents/waybarrios/cyber-agent/report-agent"><img src="https://agentmods.dev/badge/agents/waybarrios/cyber-agent/report-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 774 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00034 $0.00774
Opus 5 $0.00017 $0.00387
Sonnet 5 $0.00007 $0.00155
Haiku 4.5 $0.00003 $0.00077

Measured 5d ago against content hash d316c49e621f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

report-agent 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 5d 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.

.claude/agents/report-agent.md · 93 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 5d ago First seen · 93 lines · 34 tokens per session scan A d316c49e621f

Subscribe to this mod's changes

report-agent is an agent published in the GitHub repository waybarrios/cyber-agent (21 stars, last pushed 2mo ago), with no licence file. It adds 34 tokens to every session and 774 once invoked, about $0.0002 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.

Related

Other agents, from other repositories

osint-collector

Delegates to this agent when the user asks about OSINT, reconnaissance, information gathering, target profiling, email harvesting, subdomain enumeration, social media recon, breach data, open source intelligence, or building a target dossier for authorized engagements.

0xSteph/pentest-ai-agents · 53 tokens

threat-modeler

Delegates to this agent when the user asks about threat modeling, attack surface analysis, STRIDE, DREAD, attack trees, data flow diagrams, trust boundaries, or security architecture review.

0xSteph/pentest-ai-agents · 42 tokens

malware-analyst

Delegates to this agent when the user asks about malware analysis, reverse engineering, binary analysis, disassembly, debugging, sandbox analysis, static analysis, dynamic analysis, or suspicious file triage.

0xSteph/pentest-ai-agents · 44 tokens

c2-operator

Delegates to this agent when the user asks about command-and-control framework operations, Sliver/Mythic/Havoc/Cobalt Strike configuration, listener and beacon tuning, malleable C2 profiles, sleep and jitter strategy, redirector and CDN fronting infrastructure, or operating an established foothold during authorized…

0xSteph/pentest-ai-agents · 71 tokens

cicd-redteam

Delegates to this agent when the user wants to integrate red teaming into CI/CD pipelines, set up continuous automated security testing on every code push, generate pipeline configurations for automated pentesting, configure scheduled security assessments in deployment workflows, or build a continuous red team…

0xSteph/pentest-ai-agents · 64 tokens

opsec-anonymizer

Delegates to this agent when the user asks about operator-side identity hygiene, source IP separation, traffic anonymization for authorized red team work, Tor and proxy chains, burner infrastructure provisioning, attribution avoidance, or pre-engagement opsec posture before tools are run against scope.

0xSteph/pentest-ai-agents · 60 tokens