Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/SecurityTalent/bugskill-ainpx agentmods add skills/securitytalent/bugskill-ai/business-logic-vulnerabilitiesWrote 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/securitytalent/bugskill-ai/business-logic-vulnerabilities)<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/business-logic-vulnerabilities"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/business-logic-vulnerabilities/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/securitytalent/bugskill-ai/business-logic-vulnerabilities"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/business-logic-vulnerabilities.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 | $0.00037 | $0.07587 |
| Opus 5.5 | $0.00015 | $0.03035 |
| Sonnet 5.5 | $0.00007 | $0.01517 |
| Haiku 4.5 | $0.00004 | $0.00759 |
Grade A, and why
business-logic-vulnerabilities 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.
For each hit, replay the URL anonymously (curl, VLC, flv.js demo at `https://bilibili.github.io/flv.js/demo/`). If the URL plays without a session, you've broken VIP gating. Defense: use signed, short-TTL URLs bound to u This is a copy
100% identical to business-logic-vulnerabilities — 0 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 — 712 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Business Logic Vulnerabilities — Expert Attack Playbook
AI LOAD INSTRUCTION: Business logic flaws are scanner-invisible and high-reward on bug bounty. This skill covers race conditions, price manipulation, workflow bypass, coupon/referral abuse, negative values, and state machine attacks. These require human reasoning, not automation. For specific exploitation techniques (payment precision/overflow, captcha bypass, password reset flaws, user enumeration), load the companion SCENARIOS.md. For the workflow approach itself (modeling → state machine → attack-surface matrix → human judgement) load METHODOLOGY.md. For the per-module check items load CHECKLIST.md.
Companion files
| File | When to load |
|---|---|
| METHODOLOGY.md | Need the 5-phase workflow, attack-surface 5×N matrix, human-judgement decision tree |
| CHECKLIST.md | Going through a target module-by-module (login / register / payment / IDOR / privacy) and want every line item with why+verify |
| SCENARIOS.md | Drilling deeper into payment precision/overflow, captcha bypass, password reset, enumeration, frontend bypass |
Extended Scenarios
Also load SCENARIOS.md when you need:
- Payment precision & integer overflow attacks — 32-bit overflow to negative, decimal rounding exploitation, negative shipping fees
- Payment parameter tampering checklist — price, discount, currency, gateway, return_url fields
- Condition race practical patterns — parallel coupon application, gift card double-spend with Burp group send
- Captcha bypass techniques — drop verification request, remove parameter, clear cookies to reset counter, OCR with tesseract
- Arbitrary password reset — predictable tokens (
md5(username)), session replacement attack, registration overwrite - User information enumeration — login error message difference, masked data reconstruction across endpoints, base64 uid cookie manipulation
- Frontend restriction bypass — array parameters for multiple coupons (
couponid[0]/couponid[1]), removedisabled/readonlyattributes - Application-layer DoS patterns — regex backtracking, WebSocket abuse
What ships with it
3 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 · 712 lines · 37 tokens per session scan A 91eb8e5cc29c
business-logic-vulnerabilities is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 37 tokens to every session and 7,587 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to business-logic-vulnerabilities, differing in 0 lines, and is treated as a copy.
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