Agent skill

Offensive Reporting

by SnailSploit in SnailSploit/Claude-Red

Penetration test and red team report writing methodology. An agent skill from SnailSploit/Claude-Red.

MITAuto-check passedSecurity

Install Offensive Reporting

skills CLI
$ npx skills add SnailSploit/Claude-Red --skill offensive-reporting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install SnailSploit/Claude-Red offensive-reporting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skills/utility/offensive-reporting .claude/skills/offensive-reporting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
offensive-reporting
GitHub stars
7.3k
Token cost
~3.7k tokens
SKILL.md length
1,264 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Penetration test and red team report writing methodology. An agent skill from SnailSploit/Claude-Red.

  • Works in 5 steps: Capture evidence as you exploit — never… → Draft each finding immediately while… → Build the executive summary last, after… → …
  • Tasks that involve Summarization
  • SKILL.md covers Quick Workflow, Report Structure (Standard), Executive Summary — The… and Technical Finding Template, plus 13 more sections
  • Calls pandoc

What it does

Offensive Reporting is an agent skill from SnailSploit/Claude-Red. Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, impact, remediation, references), CVSS v3.1 / v4.0 scoring with vector justification, OWASP risk rating, evidence hygiene (redacting credentials, hashing client data, time-stamping every action), screenshot and PoC artifact management, finding chain narratives…

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering Summarization, Web application vulnerabilities and Plain language and style rules. It works with Microsoft Word. The repository describes itself as: claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level… The licence is MIT.

When your agent uses it

  • Tasks that involve Summarization
  • Tasks that involve Web application vulnerabilities
  • Tasks that involve Plain language and style rules

Example prompts

  • “so what”
  • “/offensive-reporting”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Capture evidence as you exploit — never reconstruct after the fact
  2. Draft each finding immediately while context is fresh; one finding = one numbered file
  3. Build the executive summary last, after all findings are scored
  4. Two-pass review: technical accuracy first, then read-as-CISO for narrative
  5. Hand off with a retest plan and a JSON/CSV index for the client's tracking system

What it can do on your machine

Read from SKILL.md and the folder at commit 739512a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pandoc

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Offensive Reporting loads about 3.7k tokens when it runs. Until then it costs about 247 tokens; SKILL.md has 1,264 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~247
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from SnailSploit/Claude-Red at commit 739512a, republished under its MIT licence (© SnailSploit). 1,264 words, ~3,654 tokens.

Download SKILL.mdSave it as .claude/skills/offensive-reporting/SKILL.md (or your agent's skills folder).
name
offensive-reporting
description
Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, impact, remediation, references), CVSS v3.1 / v4.0 scoring with vector justification, OWASP risk rating, evidence hygiene (redacting credentials, hashing client data, time-stamping every action), screenshot and PoC artifact management, finding chain narratives, scope/limitations/assumptions documentation, retest evidence and remediation tracking, deliverable formats (PDF, DOCX, HTML, JSON for SIEM ingestion), client-customer-deliverable separation, and common report mistakes (over-CVSSing, undermining the triager, missing the 'so what'). Use at the end of an engagement when authoring a deliverable, when restructuring a draft for executive readability, or when establishing a reusable report template for a consulting practice.

Penetration Test Reporting — Professional Methodology

A great finding lost in a bad report is a wasted finding. Reports are the artifact the client pays for, the auditor reads, and the developer fixes from. Treat the report with the same rigor as the exploit.

Quick Workflow

  1. Capture evidence as you exploit — never reconstruct after the fact
  2. Draft each finding immediately while context is fresh; one finding = one numbered file
  3. Build the executive summary last, after all findings are scored
  4. Two-pass review: technical accuracy first, then read-as-CISO for narrative
  5. Hand off with a retest plan and a JSON/CSV index for the client's tracking system

Report Structure (Standard)

1. Executive Summary             ← Last to write, first read
2. Engagement Overview
   2.1 Scope
   2.2 Methodology
   2.3 Limitations / Assumptions
   2.4 Timeline
   2.5 Team
3. Risk Summary                  ← Heatmap, finding count by severity
4. Technical Findings            ← One per finding, sorted by severity
5. Attack Narratives / Chains    ← Critical chains called out separately
6. Strategic Recommendations     ← Programmatic, not finding-by-finding
7. Appendices
   A. Tools Used
   B. Indicators of Compromise (for blue team)
   C. Raw Evidence Pointers
   D. Glossary

Executive Summary — The 90-Second Read

The executive summary is for the CISO, the GRC officer, and the board member. They read this and nothing else.

Structure (one page max):

  1. Engagement context — what was tested, when, by whom (1 sentence)
  2. Headline finding — the worst thing you found, in business terms (2–3 sentences)
  3. Risk verdict — overall posture in plain language (1 paragraph)
  4. Counts — number of findings by severity, in a small table
  5. Top 3 strategic recommendations — programmatic fixes, not "patch CVE-X"

Words to avoid in the executive summary: payload, RCE, XSS, LDAP, SMB, kerberos, injection. Translate every one. ("An attacker could run arbitrary commands on the server" not "RCE via deserialization gadget chain.")

Words to include: Business impact (customer data, regulatory exposure, operational disruption, financial loss). Anchor every finding to a business consequence.


Technical Finding Template

markdown
## Finding ID — Short Descriptive Title

**Severity:** Critical (CVSS 9.8 — vector below)
**Affected Scope:** <hosts/URLs/components, with version where relevant>
**Status:** Open / Fixed in retest / Accepted Risk
**CWE:** CWE-89 (SQL Injection)
**OWASP:** A03:2021 — Injection

### Summary
One paragraph. What is the finding, why does it matter, what's the worst case.

### Background
What technology is involved and why this class of bug exists. Two paragraphs max.
Skip if obvious (e.g. don't explain XSS to an XSS shop).

### Description
Detailed walkthrough of the issue. The root cause, not just the symptom.

### Reproduction Steps
1. Numbered, copy-paste ready.
2. Include the exact request/response, redacted.
3. A reader with no engagement context should reproduce in <15 minutes.

### Evidence
- `screenshots/finding-007/01-payload.png`
- `requests/finding-007/initial-poc.http`
- `evidence-log.csv` line 142 (timestamp 2025-04-12 14:33:07Z)

### Impact
Concrete. Quantified where possible.
- "Read access to the entire customer table (~2.3M records)"
- "Authenticate as any user; verified for sample ID 1, 2, 999, 1000000"
- "Cross-tenant access — verified by reading data from acquired-tenant ABC"

### Remediation
Specific, actionable, ordered by precedence:
1. **Fix the bug** — exact code change or config flag
2. **Defense in depth** — secondary control (WAF rule, input validation)
3. **Detection** — log line / SIEM rule that would have caught the exploit

### References
- CWE / OWASP / CAPEC
- Vendor advisory if known CVE
- Blog posts only if directly relevant

### Notes for Retest
What you'd do to verify the fix. Specific request, specific expected response.

Severity Scoring

CVSS v3.1 Discipline

CVSS is a tool, not a verdict. Score it, then sanity-check against business impact.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H = 9.8 Critical

For every metric, justify the choice in one sentence:

  • AV:N — exposed to internet (port 443)
  • AC:L — no special preconditions
  • PR:N — no authentication needed
  • UI:N — no user interaction
  • S:U — does not cross security scope
  • C:H I:H A:H — full read/write/availability impact on the database

If two reasonable people would score it differently, document why you chose what you chose.

When CVSS Lies

CVSS doesn't capture business context. A "Medium" CVSS XSS in the customer support chat panel that authenticated agents use to handle PII is more dangerous than an unauthenticated "High" SSRF on a metadata-less internal service. Use CVSS as the floor, not the ceiling.

In those cases, score CVSS honestly and then add a "Business Impact Adjustment" paragraph that argues for higher reporting severity. Don't lie with CVSS.

CVSS v4.0 (where required)

CVSS v4.0 adds environmental and threat metrics that better capture real-world risk. Use it when the client mandates it (PCI DSS 4.0 trends this way) — otherwise v3.1 stays the lingua franca.

OWASP Risk Rating (alternative)

For web-app-only engagements where CVSS feels stretched, OWASP's risk rating (likelihood × impact across multiple factors) often communicates better.


Evidence Discipline

What to Capture

For every finding, every action:

  1. Timestamp (UTC, ISO 8601)
  2. Source IP (yours, including any pivot)
  3. Target (host, URL, RPC interface)
  4. Action (what request was sent)
  5. Result (response, what you got)
  6. Hash of any data extracted (so you can prove what you saw)
csv
timestamp,operator,src_ip,target,action,result_hash,notes
2025-04-12T14:33:07Z,KA,10.10.10.5,app.client.com,SQLi probe ' OR 1=1--,sha256:abc...,initial detection

This is the audit trail. Clients with mature security teams will ask for it.

Redaction Rules

Before any artifact leaves your secure environment:

  • Replace credentials with placeholders: <REDACTED-PASSWORD>, <TOKEN-A1>
  • Hash extracted PII — never include real names, emails, SSNs in screenshots
  • Crop screenshots to the relevant area; check for browser tab leaks (other tabs visible)
  • Strip EXIF from images; auto-redact via exiftool -all= *.png
  • Remove debug toolbars from screenshots that reveal client infrastructure paths
  • Verify URLs in screenshots don't include session tokens
Storage & Chain of Custody
  • Encrypted volume during the engagement (LUKS, FileVault, BitLocker)
  • Per-engagement key, not a master operator key
  • Wipe to client-spec at end of engagement (typically 30–90 days post-delivery)
  • Retain only the report and a hash manifest of evidence, deletable on request

Scope, Limitations, and Assumptions

These three sections protect both you and the client. Be explicit.

Scope
  • IPs / domains / repos / accounts in scope, with start/end of engagement window
  • Excluded: third-party SaaS used by the client (they don't own it)
  • Out of scope by request: physical, social engineering against staff, DoS
Limitations
  • "Testing was conducted from the internet only; no internal network access provided"
  • "Source code review was not in scope"
  • "Production database mutations were avoided per ROE"
  • "No coordinated downtime — testing windows were 22:00–06:00 UTC"
Assumptions
  • "We assumed the staging environment mirrors production"
  • "We assumed the WAF in front of app.client.com is the same as production"
  • "Service accounts with admin rights were assumed pre-existing"

Show full SKILL.md (522 more words)Show less

Risk Summary & Heatmap

Show, don't tell. A visual summary every executive can read in 5 seconds:

Severity   Count   Top Example
Critical     3     RCE via deserialization (Finding #2)
High         7     ADCS ESC1 → Domain Admin (Finding #11)
Medium      14     Stored XSS in customer support panel (Finding #4)
Low         22     TLS 1.0 still enabled on api.client.com (Finding #29)
Info        11     —

A simple bar chart or stoplight grid converts this to a one-glance summary. Put it on page 2 (after exec summary).


Attack Chains / Narratives

Critical findings rarely matter in isolation. The chain is the story:

1. Phishing email → user runs HTA payload (Finding #1, Medium)
2. Local UAC bypass via Token Manipulation (Finding #5, Low)
3. Kerberoast service account (Finding #11, High)
4. Crack TGS offline → service account password (Finding #11)
5. ACL abuse: service account has WriteDacl on Domain Users (Finding #14, High)
6. Grant DCSync, dump krbtgt → Golden Ticket → Domain Admin (Finding #15, Critical)

Total time: 4 hours. Detection points missed: 3 (see Appendix B).

Highlight chains separately because the combination often warrants higher severity than any individual finding.


Strategic Recommendations

Below the per-finding remediations, write 3–5 programmatic recommendations:

  • "Adopt SAST in CI for Java services" (addresses 12 findings)
  • "Roll out tier-0 admin model for AD" (addresses entire AD attack chain)
  • "Centralize secrets in HashiCorp Vault; rotate hardcoded creds" (addresses 9 findings)

This is what the CISO presents to the board. Make it memorable.


Deliverable Formats

FormatUse
PDFExecutive read, formal record, contractual deliverable
DOCXIf the client wants to redact or extend
HTMLInternal portal upload, searchable via grep
JSONSIEM / GRC tool ingestion (DefectDojo, Faraday, ServiceNow)
CSVQuick import into Jira / Asana for tracking
Markdown sourceThe single source of truth that generates all the above

Build all formats from one Markdown source via Pandoc / a static site generator. Never maintain parallel formats by hand.

bash
# Markdown → polished PDF via Pandoc + LaTeX template
pandoc report.md -o report.pdf \
  --template=client-template.tex \
  --pdf-engine=xelatex \
  --metadata=title:"Penetration Test Report — Client Co." \
  --toc --number-sections

Common Report Mistakes

MistakeFix
CVSS 9.0 on every finding ("over-CVSSing")Score honestly; clients lose trust if everything is critical
Marketing language ("revolutionary attack")Plain professional tone
Tool output dumped as evidenceCurate; show the relevant 5 lines
Generic remediation ("validate input")Specific code/config changes
Missing reproduction stepsIf they can't reproduce, they can't fix
Untimed evidenceEvery action gets a UTC timestamp
Confusing identical findingsGroup by class, list affected items in a table
Forgotten retest planEach finding includes how you'll verify the fix
Failure to separate scope from limitationsScope = what we tested; Limitations = what blocked us
Treating informational findings as fillerEither drop them or write them well

Reporting for Bug Bounty (Different Audience)

Bug bounty triagers are time-pressured and skeptical. Adjust:

  • Title: include the bug class + endpoint + impact in 80 chars
  • Reproduction: a single curl command if possible, plus the expected vs actual response
  • Impact: anchor to the program's threat model (read PII? auth bypass? cross-account?)
  • Avoid: walls of text, screenshots without a request log, claims without reproduction

A good bounty report is read in 2 minutes and reproduced in 5. A bad one bounces with "more info."


Retest & Closeout

markdown
### Retest Summary

| Finding | Original Severity | Retest Status | Verification Date |
|---------|-------------------|---------------|-------------------|
| #1 | Critical | ✓ Fixed (verified) | 2025-05-10 |
| #2 | High | ✓ Fixed | 2025-05-10 |
| #5 | Medium | ⚠ Partially fixed — see notes | 2025-05-10 |
| #11 | High | ✗ Not fixed — finding stands | 2025-05-10 |
| #14 | Low | • Accepted Risk (client decision) | 2025-05-10 |

For each finding, include the exact verification request/response showing the fix. Without proof, "fixed" is hearsay.


Sample CVSS Vectors (Reference)

ClassTypical VectorScore
Unauth RCEAV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H9.8
Authed RCEAV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H8.8
Stored XSSAV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N5.4
IDOR (PII read)AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N6.5
SSRF (cloud meta)AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N9.0
Open RedirectAV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N4.3

Use these as starting points; adjust per environment.


Tooling

ToolUse
Pandoc + LaTeXMarkdown → polished PDF
Sphinx / mkdocsMarkdown → HTML portal
DefectDojoFinding tracking, JSON export
FaradayMulti-engagement aggregation
DradisCollaborative report drafting
serpico (legacy but still used)Pentest report templates
PlextracCommercial reporting platform

Key References

  • NIST SP 800-115 (technical security testing reporting)
  • PTES — Penetration Testing Execution Standard, reporting section
  • OWASP Testing Guide — reporting chapter
  • FIRST CVSS v3.1 / v4.0 specifications
  • CREST Cyber Security Incident Response and Penetration Testing reporting standards
  • Source: https://github.com/SnailSploit/offensive-checklist/blob/main/reporting.md

© SnailSploit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Skills/utility/offensive-reporting of SnailSploit/Claude-Red.

Open the folder on GitHubat commit 739512a

Compare with similar skills

Offensive Reporting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Offensive Reporting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Offensive Reporting this skillSnailSploit/Claude-Red7.3k—~3.7kAutomated safety check: PassMIT
Hunt InjectionEncod3d-Sec/TORCH329—~2kAutomated safety check: PassMIT
Cybersecurityohmyjahh/xquads-squads276—~895Automated safety check: PassMIT
Rational Red Blue Debatedigoal/blog8.6k—~2.2kAutomated safety check: PassGPL-2.0
Web Xxes0ld13rr/pentestcode817—~585Automated safety check: PassMIT
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0

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Works with

Questions about Offensive Reporting

What does Offensive Reporting do?

Penetration test and red team report writing methodology. An agent skill from SnailSploit/Claude-Red. Offensive Reporting is an agent skill from SnailSploit/Claude-Red. Penetration test and red team report writing methodology.

When should I use Offensive Reporting?

Offensive Reporting fits situations like: tasks that involve Summarization; tasks that involve Web application vulnerabilities; tasks that involve Plain language and style rules.

How do I install Offensive Reporting in Claude Code?

Run `npx skills add SnailSploit/Claude-Red --skill offensive-reporting -a claude-code`. Or copy the skill folder (Skills/utility/offensive-reporting in SnailSploit/Claude-Red) into .claude/skills/offensive-reporting in your project. Claude Code loads it when a task matches its description.

How do I install Offensive Reporting in Codex?

Run `npx skills add SnailSploit/Claude-Red --skill offensive-reporting -a codex`. Or copy the skill folder (Skills/utility/offensive-reporting in SnailSploit/Claude-Red) into .agents/skills/offensive-reporting in your project. Codex loads it when a task matches its description.

Can I use Offensive Reporting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add SnailSploit/Claude-Red --skill offensive-reporting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/offensive-reporting, .gemini/skills/offensive-reporting, .github/skills/offensive-reporting and .opencode/skills/offensive-reporting in your project.

What does Offensive Reporting need to run?

Going by SKILL.md and its folder, Offensive Reporting needs the command-line tools its instructions call (pandoc).

Does Offensive Reporting access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Offensive Reporting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Offensive Reporting use?

Offensive Reporting is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Offensive Reporting use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Offensive Reporting?

Skills that share tags, products or a category with Offensive Reporting: Hunt Injection (Encod3d-Sec/TORCH, 329 stars), Cybersecurity (ohmyjahh/xquads-squads, 276 stars), Rational Red Blue Debate (digoal/blog, 8.6k stars) and Web Xxe (s0ld13rr/pentestcode, 817 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Offensive Reporting?

SnailSploit (a GitHub user) maintains it in SnailSploit/Claude-Red, which has 7,321 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 19, 2026.

Source: SnailSploit/Claude-Red on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.