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.
npx skills add Eyadkelleh/awesome-skills-security --skill llm-testinggit clone --depth 1 https://github.com/Eyadkelleh/awesome-skills-securityWrote 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/eyadkelleh/awesome-skills-security/llm-testing)<a href="https://agentmods.dev/skills/eyadkelleh/awesome-skills-security/llm-testing"><img src="https://agentmods.dev/badge/skills/eyadkelleh/awesome-skills-security/llm-testing/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/eyadkelleh/awesome-skills-security/llm-testing"><img src="https://agentmods.dev/badge/skills/eyadkelleh/awesome-skills-security/llm-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
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 | $0.00027 | $0.01719 |
| Opus 5 | $0.00014 | $0.00860 |
| Sonnet 5 | $0.00005 | $0.00344 |
| Haiku 4.5 | $0.00003 | $0.00172 |
Grade A, and why
llm-testing 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
9 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.
- Bias_Testing/gender_bias.txt 4.3 KB
- Bias_Testing/nationality_geographic_bias.txt 4.8 KB
- Bias_Testing/race_ethnicity_bias.txt 5.4 KB
- Data_Leakage/metadata.txt 422 B
- Data_Leakage/personal_data.txt 5.3 KB
- Divergence_attack/escape_out_of_allignment_training.txt 4.8 KB
- Divergence_attack/pre-training_data.txt 541 B
- Memory_Recall_Testing/session_recall.txt 4.8 KB
- README.md 3.1 KB
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.
- 12d ago First seen · 229 lines · 27 tokens per session scan A 2da521a02315
llm-testing is a skill published in the GitHub repository Eyadkelleh/awesome-skills-security (382 stars, last pushed 3mo ago), with no licence file. It adds 27 tokens to every session and 1,719 once invoked, about $0.0001 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.
Other skills, from other repositories
exploit-xss
Cross-site scripting (XSS) vulnerability detection and exploitation. Supports reflected XSS, stored XSS, DOM-based XSS, and blind XSS testing. Use this skill when user mentions XSS, cross-site scripting, script injection, or needs to test JavaScript injection in parameters, forms, headers, or DOM sources.
prompt-injection-tester
Red-team an LLM application against prompt injection and jailbreaks using a curated, categorized payload library and canary-based detection, then produce a resilience score. Use when the user asks to "test my chatbot for prompt injection", "check if my AI app is jailbreakable", "red-team my LLM", "evaluate…
dast-config
Reviews DAST tool configurations against OWASP Top 10:2021 and OWASP Testing Guide v4.2. Auto-invoked when reviewing OWASP ZAP configurations, DAST CI/CD integration, scan policies, or authenticated scanning setups. Produces a DAST maturity assessment covering scan policy configuration, active vs passive scanning, API…
report-writing
Bug bounty report writing for H1/Bugcrowd/Intigriti/Immunefi — report templates, human tone guidelines, impact-first writing, CVSS 3.1 scoring, title formula, impact statement formula, severity decision guide, downgrade counters, pre-submit checklist. Use after validating a finding and before submitting. Never use…
triage-validation
Finding validation before writing any report — 7-Question Gate (all 7 questions), 4 pre-submission gates, always-rejected list, conditionally valid with chain table, CVSS 3.1 quick reference, severity decision guide, report title formula, 60-second pre-submit checklist. Use BEFORE writing any report. One wrong answer…
web2-recon
Web2 recon pipeline — subdomain enumeration (subfinder, Chaos API, assetfinder), live host discovery (dnsx, httpx), URL crawling (katana, waybackurls, gau), directory fuzzing (ffuf), JS analysis (LinkFinder, SecretFinder), continuous monitoring (new subdomain alerts, JS change detection, GitHub commit watch). Use when…