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.
git clone --depth 1 https://github.com/crazyMarky/pentest-skillsnpx agentmods add skills/crazymarky/pentest-skills/results-storageWrote 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.
[](https://agentmods.dev/skills/crazymarky/pentest-skills/results-storage)<a href="https://agentmods.dev/skills/crazymarky/pentest-skills/results-storage"><img src="https://agentmods.dev/badge/skills/crazymarky/pentest-skills/results-storage/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.
<a href="https://agentmods.dev/skills/crazymarky/pentest-skills/results-storage"><img src="https://agentmods.dev/badge/skills/crazymarky/pentest-skills/results-storage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 190 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 191 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high YARA Match · line 282 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Tool Misuse · line 536 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Rogue Agent · line 308 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.04418 |
| Opus 5 | $0.00020 | $0.02209 |
| Sonnet 5 | $0.00008 | $0.00884 |
| Haiku 4.5 | $0.00004 | $0.00442 |
Grade A, and why
results-storage 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 655 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pentest Results Storage & Reporting
Overview
The results-storage skill provides a SQLite-based persistent storage system for all penetration testing activities. It enables cross-session data persistence, structured vulnerability tracking, and professional report generation.
Key Features
- Persistent Storage: SQLite database at
./data/results.db - Flexible Organization: Subsystem (optional) > Host hierarchy
- Multi-Format Reports: Markdown and JSON report generation
- Query Capabilities: Filter by severity, type, host, subsystem
- Zero Breaking Changes: Works alongside existing skills without modifications
Data Organization
Subsystem (optional)
└── Host
├── Port Scan Results
├── Vulnerabilities (SQLi, XSS, LFI, etc.)
└── Web Findings (detailed web vulnerability info)
Without Subsystem: Data is organized in a flat Host hierarchy (subsystem_id is NULL)
Quick Start
Initialize Database
Database is automatically created on first use:
from .claude.skills.results-storage.scripts.storage_api import StorageAPI
api = StoreAPI()
# Database created at ./data/results.db
Store Vulnerability
# Flat hierarchy (no subsystem)
api.store_sqli_vulnerability(
host_ip="192.168.1.100",
url="https://example.com/login?id=1",
parameter="id",
payload="1' OR '1'='1",
severity="Critical",
title="SQL Injection in Login Page"
)
# With subsystem
api.store_xss_vulnerability(
host_ip="192.168.1.100",
url="https://example.com/search",
xss_type="reflected",
payload="<script>alert(1)</script>",
subsystem="Web Application",
severity="High",
title="XSS in Search Functionality"
)
Generate Report
from .claude.skills.results-storage.scripts.report_generator import ReportGenerator
gen = ReportGenerator()
# Markdown report
gen.generate_markdown_report(output_path="pentest_report.md")
# JSON report
gen.generate_json_report(output_path="pentest_report.json")
# Subsystem-specific report
gen.generate_markdown_report(
output_path="webapp_report.md",
subsystem="Web Application"
)
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/report_templates/json_schema.json 4.7 KB
- assets/report_templates/markdown_template.md 3.4 KB
- references/api_reference.md 15 KB
- references/database_schema.md 12 KB
- references/integration_examples.md 16 KB
- scripts/__init__.py 453 B runs code
- scripts/__pycache__/storage_api.cpython-314.pyc 35 KB
- scripts/db_manager.py 15 KB runs code
- scripts/query_builder.py 18 KB runs code
- scripts/report_generator.py 21 KB runs code
- scripts/storage_api.py 29 KB runs code
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.
- 11d ago First seen · 655 lines · 40 tokens per session scan A 780cd1eedf10
results-storage is a skill published in the GitHub repository crazyMarky/pentest-skills (308 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 4,418 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.
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