claude-red is a library of structured skills that give Claude specialized offensive-security methods for areas such as web vulnerabilities, shellcode, exploit development, and identity systems. It is intended for authorized red-team work, bug-bounty triage, security research, CTF preparation, and operator training. Its catalogue contains the project's skills for loading these security specializations into Claude.
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 SnailSploit/Claude-Red --skill offensive-business-logicgit clone --depth 1 https://github.com/SnailSploit/Claude-RedWrote 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/snailsploit/claude-red/offensive-business-logic)<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-business-logic"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-business-logic/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/snailsploit/claude-red/offensive-business-logic"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-business-logic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00135 | $0.03426 |
| Opus 5.5 | $0.00054 | $0.01370 |
| Sonnet 5.5 | $0.00027 | $0.00685 |
| Haiku 4.5 | $0.00014 | $0.00343 |
Grade A, and why
offensive-business-logic 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.
diff <(curl https://app/main.js) <(curl -H "Cookie: ..." https://app/main.js) Copies of this mod
1 near-identical copy found in the catalogue:
- offensive-business-logic — 89% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Logic — Offensive Testing Methodology
Business logic flaws are the highest-paying class of vulnerability for bug bounty and the hardest for scanners to detect. They live in the gap between what the developer specified and what an attacker can convince the system to accept.
Quick Workflow
- Map every multi-step flow as a state machine (states + allowed transitions + side effects)
- For each transition, ask: who can call it, in what state, with what inputs, how many times
- Probe each axis (state, identity, input, frequency) for assumptions
- Combine flaws — single-axis flaws are usually low severity; chains are critical
- Quantify financial impact per finding (loss-per-attack × scale)
Reconnaissance — Mapping the Logic
Build the State Machine
For each user flow, draw:
- States: cart, pending payment, paid, shipped, refunded, cancelled
- Transitions: which API/UI action, which role, which preconditions
- Side effects: balance change, inventory change, email, webhook
Look for transitions that:
- Skip intermediate states (
cart→shippedwithoutpaid) - Are reversible when they shouldn't be (
shipped→cart) - Trigger side effects more than once
- Allow cross-role invocation
Hidden / Internal Endpoints
# Compare authenticated and unauthenticated JS bundles for buried admin routes
diff <(curl https://app/main.js) <(curl -H "Cookie: ..." https://app/main.js)
# Look for flag/feature toggles that change UI but not server-side enforcement
grep -E '(isAdmin|isInternal|featureFlag|debug)' bundle.js
# API spec (OpenAPI/Swagger) often lists endpoints the UI never calls
curl https://app/api/openapi.json | jq '.paths | keys'
Workflow / State-Machine Bypass
Skip a Required Step
# Normal flow: /verify-email → /set-password → /enable-2fa → /dashboard
# Try jumping directly:
GET /dashboard
GET /api/account/details
POST /api/payout-settings
# Checkout flow: /cart → /address → /shipping → /payment → /confirm
# Skip /payment by replaying /confirm with a previous order's payment-token reference:
POST /api/order/confirm
{ "cartId": "current", "paymentRef": "<old-paid-order-payment-ref>" }
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 · 399 lines · 135 tokens per session scan A 4bd5fbf6bf70
offensive-business-logic is a skill published in the GitHub repository SnailSploit/Claude-Red (8,487 stars, last pushed 12d ago), licensed MIT. It adds 135 tokens to every session and 3,426 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
verification-contract
Internal contract: the acceptance artifact per delivery unit — legacy (pre- feature 61) units may carry a frozen ACCEPTANCE.md (binding if present); post-feature 61 units use the unit doc's ## Acceptance criteria section as the canonical acceptance source; the unit doc's ## Evidence table serves as the execution…
grade-iterate
Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader), read each verdict, decide the next move (sharpen / re-run / promote to schedule), and once a version passes, run held-back eval cases in parallel. Use when the…
user-story-writer
Escribir historias de usuario bien estructuradas con criterios de aceptación y casos extremos. Úsalo cuando te pidan escribir historias de usuario, crear tickets a partir de un resumen de características, convertir un PRD en historias o redactar criterios de aceptación. Produce historias listas para estimar en formato…
prompt-regression-suite
Design a regression test suite that catches an LLM feature getting worse when the prompt, model, or context changes. Use when asked to stop prompt changes breaking production, set up golden tests or CI gates for an LLM feature, or test a model/prompt upgrade before shipping it. Produces a golden case set, per-case…
create-test-plan
Analyze what changed and generate a structured test plan at .turbo/test-plans/ .md covering four escalating levels: basic functionality, complex operations, adversarial testing, and cross-cutting scenarios. Use when the user asks to "create a test plan", "plan tests", "what should I test", "generate test scenarios"…
exploratory-test
Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens reported separately from defects. Deeper than /smoke-test. Use when the user asks to "exploratory test", "test…