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 agentmods add skills/awarexone/agentic-bug-hunter/bb-methodologynpx skills add Awarexone/Agentic-Bug-Hunter --skill bb-methodologygit clone --depth 1 https://github.com/Awarexone/Agentic-Bug-HunterWhat 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 | $0.00090 | $0.04941 |
| Opus 5 | $0.00045 | $0.02471 |
| Sonnet 5 | $0.00018 | $0.00988 |
| Haiku 4.5 | $0.00009 | $0.00494 |
Grade C, and why
bb-methodology scanned grade C with 2 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 3d 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.
Cloud metadata endpointhighServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
| +-- Can reach 169.254.169.254? -> Extract keys -> RCE Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. No time diff? OOB (`curl attacker.com`, interactsh) -- watch for DNS callback 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.
Bug Bounty Methodology: Workflow + Mindset
Master orchestrator for hunting sessions. Combines the 5-phase non-linear workflow with the critical thinking framework that separates top 1% hunters from the rest.
PART 1: MINDSET (How to Think)
Core Principle
Hunting is not "find a bug" -- it is "prove an attack scenario." Think like an attacker with a specific goal, not a scanner looking for patterns.
Daily Discipline: Define, Select, Execute
Before touching any tool:
- Define: "Today I target [feature/domain] to achieve [CIA impact]"
- Select: Choose 1-2 vuln classes (IDOR, Race Condition, etc.)
- Execute: Focus ONLY on selected techniques. No wandering.
5 Ultimate Goals (Pick One Per Session)
- Confidentiality -- steal data the attacker shouldn't see
- Integrity -- modify data the attacker shouldn't change
- Availability -- disrupt service (app-level DoS only)
- Account Takeover -- control another user's account
- RCE -- execute commands on the server
4 Thinking Domains
1. Critical Thinking (deep analysis)
Question trust boundaries:
- Frontend control disabled? Send request directly via proxy
user_role=usercookie? Change toadminprice=1000in POST? Change to1<script>blocked? Try<img onerror=...>
Reverse-engineer developer psychology:
- Feature A has auth checks -> Similar feature B (newly added) probably doesn't
- Complex flows (coupon + points + refund) -> Edge cases have bugs
/api/v2/userexists -> Does/api/v1/userstill work with weaker auth?
What-If experiments:
- Skip checkout -> hit
/checkout/successdirectly - Skip 2FA -> navigate to
/dashboard - Send coupon request 10x simultaneously -> Race condition?
- Replace
guid=f8a2...withid=100on sibling endpoint -> IDOR?
2. Multi-Perspective (multiple angles)
| Perspective | What to check |
|---|---|
| Horizontal (same role) | User A's token + User B's ID -> IDOR |
| Vertical (different role) | Regular user -> /admin/deleteUser |
| Data flow (proxy view) | Hidden params in JSON: debug=false, discount_rate |
| Time/State | Race conditions, post-delete session reuse |
| Client environment | Mobile UA -> legacy API with weaker auth |
| Business impact | "What's the $ damage if this breaks?" |
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.
- 3d ago First seen · 399 lines · 90 tokens per session scan C 85adb982da0f
bb-methodology is a skill published in the GitHub repository Awarexone/Agentic-Bug-Hunter (4,651 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 4,941 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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