Agent skill / SnailSploit
### offensive-reporting
Core file
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionoffensive-reportingExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/SnailSploit/Claude-Red --skill offensive-reportingFetches offensive-reporting from SnailSploit/Claude-Red and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate offensive-reporting. Access via /offensive-reportingin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Copy the command for your terminal
Package manager
npx skills add https://github.com/SnailSploit/Claude-Red --skill offensive-reportingWorks with
| 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." |
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.
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
The executive summary is for the CISO, the GRC officer, and the board member. They read this and nothing else.
Structure (one page max):
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.
## 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.
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 preconditionsPR:N — no authentication neededUI:N — no user interactionS:U — does not cross security scopeC:H I:H A:H — full read/write/availability impact on the databaseIf two reasonable people would score it differently, document why you chose what you chose.
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 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.
For web-app-only engagements where CVSS feels stretched, OWASP's risk rating (likelihood × impact across multiple factors) often communicates better.
For every finding, every action:
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.
Before any artifact leaves your secure environment:
<REDACTED-PASSWORD>, <TOKEN-A1>exiftool -all= *.pngThese three sections protect both you and the client. Be explicit.
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).
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.
Below the per-finding remediations, write 3–5 programmatic recommendations:
This is what the CISO presents to the board. Make it memorable.
| Format | Use |
|---|---|
| Executive read, formal record, contractual deliverable | |
| DOCX | If the client wants to redact or extend |
| HTML | Internal portal upload, searchable via grep |
| JSON | SIEM / GRC tool ingestion (DefectDojo, Faraday, ServiceNow) |
| CSV | Quick import into Jira / Asana for tracking |
| Markdown source | The 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.
# 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
| Mistake | Fix |
|---|---|
| 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 evidence | Curate; show the relevant 5 lines |
| Generic remediation ("validate input") | Specific code/config changes |
| Missing reproduction steps | If they can't reproduce, they can't fix |
| Untimed evidence | Every action gets a UTC timestamp |
| Confusing identical findings | Group by class, list affected items in a table |
| Forgotten retest plan | Each finding includes how you'll verify the fix |
| Failure to separate scope from limitations | Scope = what we tested; Limitations = what blocked us |
| Treating informational findings as filler | Either drop them or write them well |
Bug bounty triagers are time-pressured and skeptical. Adjust:
A good bounty report is read in 2 minutes and reproduced in 5. A bad one bounces with "more info."
### 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.
| Class | Typical Vector | Score |
|---|---|---|
| Unauth RCE | AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H | 9.8 |
| Authed RCE | AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H | 8.8 |
| Stored XSS | AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N | 5.4 |
| IDOR (PII read) | AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N | 6.5 |
| SSRF (cloud meta) | AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N | 9.0 |
| Open Redirect | AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N | 4.3 |
Use these as starting points; adjust per environment.
| Tool | Use |
|---|---|
| Pandoc + LaTeX | Markdown → polished PDF |
| Sphinx / mkdocs | Markdown → HTML portal |
| DefectDojo | Finding tracking, JSON export |
| Faraday | Multi-engagement aggregation |
| Dradis | Collaborative report drafting |
| serpico (legacy but still used) | Pentest report templates |
| Plextrac | Commercial reporting platform |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
Solid pick for teams standardizing on skills: offensive-reporting is focused, and the summary matches what you get after install.
offensive-reporting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
offensive-reporting reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for offensive-reporting matched our evaluation — installs cleanly and behaves as described in the markdown.
offensive-reporting has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend offensive-reporting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: offensive-reporting is focused, and the summary matches what you get after install.
offensive-reporting reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in offensive-reporting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
offensive-reporting reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 73