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 26zl/cybersec-toolkit --skill credential-attackgit clone --depth 1 https://github.com/26zl/cybersec-toolkitWrote 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/26zl/cybersec-toolkit/credential-attack)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/credential-attack"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/credential-attack/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/26zl/cybersec-toolkit/credential-attack"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/credential-attack.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 | $0.00101 | $0.05416 |
| Opus 5.5 | $0.00040 | $0.02166 |
| Sonnet 5.5 | $0.00020 | $0.01083 |
| Haiku 4.5 | $0.00010 | $0.00542 |
Grade A, and why
credential-attack scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `http-form` | Custom login page (most BB targets) | Pure Python urllib | This is a copy
92% identical to credential-attack — 76 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vendored note (this repo). Adapted from the standalone claude-bug-bounty project. The upstream executable scaffolding — helper scripts (
tools/*.py,tools/*.sh), the standalonewordlists/pipeline, and slash-commands (/recon,/hunt,/validate,/report, …) — is not bundled here: run tooling through the MCP server (run_tool/run_pipeline/run_script) and install via the project installer/registry. Any static deep-dive files this skill needs are vendored into its ownreferences/folder, and cross-skill references resolve by skill name (e.g. thebb-methodologyskill). Some named tools may not be intools_config.jsonyet — add them with theadd-toolskill or install upstream.
Phase/command mapping (this repo). The
/…names below are upstream phase labels, not bundled commands. Cross-skill:/recon→web2-recon,/hunt→bug-bounty,/validate→triage-validation,/report→report-writing,/scope→authorization-gate. This skill's own pipeline (wordlist-gen → breach-check → osint-employees → spray) runs as MCPrun_tool/run_scriptsteps — see each stage below.
CREDENTIAL ATTACK PIPELINE
Real-world initial-access vector. Verizon DBIR consistently ranks Stolen Credentials in the top 3 incident types. Most BB hunters skip this because they only try rockyou.txt and get rate-limited.
Core principle: humans pick lazy passwords. {CompanyName}{Year}!, {ProductName}{Season}, {City}123. Harvesting company-specific vocabulary (product names, office cities, internal project codes) before spraying is what makes the hit-rate go from 0.01% to 1%+.
This skill covers WHEN to use credential attack, HOW to chain the 4 commands, and the legal/operational guardrails.
WHEN TO RUN CREDENTIAL ATTACK
Credential attack is a parallel branch to hunt, not a replacement. Both come after recon:
recon ──┬──▶ hunt (web vuln scan) ──┐
│ ├──▶ validate ──▶ report
└──▶ wordlist-gen → ... → spray ──┘
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 · 400 lines · 101 tokens per session scan A c1d543a31fcf
credential-attack is a skill published in the GitHub repository 26zl/cybersec-toolkit (76 stars, last pushed 2d ago), licensed MIT. It adds 101 tokens to every session and 5,416 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to credential-attack, differing in 76 lines, and is treated as a copy.
Other skills, from other repositories
mobile-pentest
Mobile app pentest for bug bounty (Android APK + iOS IPA) — runtime-first workflow: install app, proxy through Burp/mitmproxy, drive the UI, capture packets, then test the API exactly like a web target; escalate to decompile (apktool/jadx) and Frida/objection only when traffic is SSL-pinned, encrypted, or absent.…
performing-api-inventory-and-discovery
Performs API inventory and discovery to identify all API endpoints in an organization's environment including documented, undocumented, shadow, zombie, and deprecated APIs. The tester uses passive traffic analysis, active scanning, DNS enumeration, JavaScript analysis, and cloud resource inventory to build a…
performing-cloud-log-forensics-with-athena
Uses AWS Athena to query CloudTrail, VPC Flow Logs, S3 access logs, and ALB logs for forensic investigation. Covers CREATE TABLE DDL with partition projection, forensic SQL queries for detecting unauthorized access, data exfiltration, lateral movement, and privilege escalation. Use when investigating AWS security…
performing-api-fuzzing-with-restler
Uses Microsoft RESTler to perform stateful REST API fuzzing by automatically generating and executing test sequences that exercise API endpoints, discover producer-consumer dependencies between requests, and find security and reliability bugs. The tester compiles an OpenAPI specification into a RESTler fuzzing…
auditing-cloud-with-cis-benchmarks
This skill details how to conduct cloud security audits using Center for Internet Security benchmarks for AWS, Azure, and GCP. It covers interpreting CIS Foundations Benchmark controls, running automated assessments with tools like Prowler and ScoutSuite, remediating failed controls, and maintaining continuous…
detecting-compromised-cloud-credentials
Detecting compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.