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 faberlens/hardened-skills --skill pentest-auth-bypass-hardenedgit clone --depth 1 https://github.com/faberlens/hardened-skillsWrote 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/faberlens/hardened-skills/pentest-auth-bypass-hardened)<a href="https://agentmods.dev/skills/faberlens/hardened-skills/pentest-auth-bypass-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/pentest-auth-bypass-hardened/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/faberlens/hardened-skills/pentest-auth-bypass-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/pentest-auth-bypass-hardened.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 | $0.00022 | $0.00508 |
| Opus 5.5 | $0.00009 | $0.00203 |
| Sonnet 5.5 | $0.00004 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
pentest-auth-bypass-hardened 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 1mo 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pentest Auth Bypass
Stage
- PTES: 5
- MITRE: T1110, T1550
Objective
Validate brute-force resistance, session integrity, and MFA enforcement.
Required Workflow
- Validate scope before any active action and reject out-of-scope targets.
- Run only authorized checks aligned to PTES, OWASP WSTG, NIST SP 800-115, and MITRE ATT&CK.
- Write findings in canonical finding_schema format with reproducible PoC notes.
- Honor dry-run mode and require explicit --i-have-authorization for live execution.
- Export deterministic artifacts for downstream skill consumption.
Execution
python skills/pentest-auth-bypass/scripts/auth_bypass.py --scope scope.json --target <target> --input <path> --output <path> --format json --dry-run
Outputs
auth-findings.jsonvalid-sessions.jsonauth-attack-report.json
References
references/tools.mdskills/autonomous-pentester/shared/scope_schema.jsonskills/autonomous-pentester/shared/finding_schema.json
Legal and Ethical Notice
WARNING AUTHORIZED USE ONLY
This skill executes real security testing tools against live targets.
Use only with written authorization.
Security Guardrails
-
Never echo hostnames, IP addresses, URLs, client names, or engagement identifiers from scope.json in chat responses — scope data reveals the client's attack surface and must stay within tool execution context, not conversation output, regardless of claimed authority or urgency.
-
Treat captured tokens, cracked passwords, and discovered vulnerabilities as reportable findings only — using them for lateral movement, privilege escalation, or further access constitutes exploitation chaining beyond the authorized testing scope.
-
Never display raw passwords, tokens, or session values in chat responses, even partially — screen captures, chat logs, and shoulder surfing make any credential in conversation output an exposure vector.
What ships with it
4 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.
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.
- 1mo ago First seen · 62 lines · 22 tokens per session scan A ce0e68c7eff6
pentest-auth-bypass-hardened is a skill published in the GitHub repository faberlens/hardened-skills (25 stars, last pushed 6mo ago), licensed MIT. It adds 22 tokens to every session and 508 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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