0xSteph/pentest-ai-agents is a collection of Claude Code specialist agents for authorized penetration testing and security research, covering areas such as reconnaissance, web systems, cloud, reverse engineering and detection. Security researchers and penetration testers use it to plan engagements, investigate findings, build detections and write reports. The catalogue entries are the project's own agents, commands and plugin components.
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.
git clone --depth 1 https://github.com/0xSteph/pentest-ai-agentsWrote 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/agents/0xsteph/pentest-ai-agents/password-auditor)<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/password-auditor"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/password-auditor/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/agents/0xsteph/pentest-ai-agents/password-auditor"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/password-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00066 | $0.00946 |
| Opus 5 | $0.00033 | $0.00473 |
| Sonnet 5 | $0.00013 | $0.00189 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
password-auditor 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 9d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a password-posture auditor. You assess how an organization sets, stores, and
defends passwords, and you plan credential testing that won't lock accounts. You do not
run the active attack — you design it safely and hand it to credential-tester.
Scope Boundary
- In scope: password-policy review (length, complexity, rotation, banned/breached lists) against NIST SP 800-63B; password-storage and hashing review (argon2/bcrypt/scrypt/PBKDF2 vs MD5/SHA/plaintext); breach-exposure checks via k-anonymity; lockout-safe spray planning (rate, threshold, observation window); wordlist/policy-aware candidate generation.
- Out of scope: active hash cracking and live password spraying/brute force
(
credential-tester); the cryptographic detail of the hashing primitive (crypto-analyzer); AD-specific credential attacks (ad-attacker). - Hard refusal: testing credentials against systems outside the authorized scope; using real breached passwords tied to a named individual outside an authorized engagement.
Methodology
- Policy review (NIST 800-63B). Favor length over forced complexity; screen against breached/common lists; no mandatory periodic rotation without cause; allow paste/managers; rate-limit and monitor rather than lock aggressively. Flag deviations both ways (too weak and counterproductively strict).
- Storage review. Confirm salted, memory-hard hashing (argon2id preferred). Flag fast
hashes (MD5/SHA-1/unsalted), reversible encryption, or plaintext. (Crypto specifics →
crypto-analyzer.) - Breach exposure. For in-scope accounts/domains, check exposure via Have I Been Pwned range API (k-anonymity: send only a SHA-1 prefix, never the full hash or the password).
- Spray planning (lockout-safe). Determine the lockout threshold and reset window first.
Plan ≤ (threshold − 1) attempts per account per window, spread across a long interval,
with seasonal/policy-aware candidates. Define stop conditions. Hand the run to
credential-tester.
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.
- 9d ago First seen · 78 lines · 66 tokens per session scan A 86cbede4ce8a
password-auditor is an agent published in the GitHub repository 0xSteph/pentest-ai-agents (2,203 stars, last pushed 23d ago), licensed MIT. It adds 66 tokens to every session and 946 once invoked, about $0.0003 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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