AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill api-fuzzing-bug-bountygit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/api-fuzzing-bug-bounty)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/api-fuzzing-bug-bounty"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/api-fuzzing-bug-bounty/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/sickn33/agentic-awesome-skills/api-fuzzing-bug-bounty"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/api-fuzzing-bug-bounty.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 156 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 313 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Tool Misuse · line 183 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Data Exfiltration · line 435 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00048 | $0.03091 |
| Opus 5.5 | $0.00019 | $0.01236 |
| Sonnet 5.5 | $0.00010 | $0.00618 |
| Haiku 4.5 | $0.00005 | $0.00309 |
Grade A, and why
api-fuzzing-bug-bounty 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 2d 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.
curl -X POST https://target.com/graphql \ Copies of this mod
8 near-identical copies found in the catalogue:
- api-fuzzing-bug-bounty — 100% identical, 12 lines differ
- api-fuzzing-bug-bounty — 100% identical, 12 lines differ
- api-fuzzing-bug-bounty — 100% identical, 12 lines differ
- api-fuzzing-bug-bounty — 92% identical, 26 lines differ
- api-fuzzing-bug-bounty — 92% identical, 26 lines differ
- api-fuzzing-bug-bounty — 92% identical, 26 lines differ
- api-fuzzing-bug-bounty — 92% identical, 26 lines differ
- api-fuzzing-bug-bounty — 92% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ AUTHORIZED USE ONLY This skill is for educational purposes or authorized security assessments only. You must have explicit, written permission from the system owner before using this tool. Misuse of this tool is illegal and strictly prohibited.
Mandatory confirmation gate Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:
- Ask the user to state the exact target URL, IP, account, or resource.
- Ask the user to confirm written authorization and the permitted scope.
- Show the exact command(s) and explain their expected effect.
- Wait for explicit confirmation in the current conversation.
Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.
AUTHORIZED USE ONLY: Use this skill only for authorized security assessments, defensive validation, or controlled educational environments.
API Fuzzing for Bug Bounty
Purpose
Provide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exploitation, and API-specific attack vectors.
Inputs/Prerequisites
- Burp Suite or similar proxy tool
- API wordlists (SecLists, api_wordlist)
- Understanding of REST/GraphQL/SOAP protocols
- Python for scripting
- Target API endpoints and documentation (if available)
Outputs/Deliverables
- Identified API vulnerabilities
- IDOR exploitation proofs
- Authentication bypass techniques
- SQL injection points
- Unauthorized data access documentation
API Types Overview
| Type | Protocol | Data Format | Structure |
|---|---|---|---|
| SOAP | HTTP | XML | Header + Body |
| REST | HTTP | JSON/XML/URL | Defined endpoints |
| GraphQL | HTTP | Custom Query | Single endpoint |
Core Workflow
Use controlled test accounts/tenants and read-only canary resources. Scope rate, concurrency, duration, write/delete methods, SSRF destinations and any callback endpoint in the rules of engagement. DoS/deep recursion, credential attacks and destructive method tests require explicit separate approval and a disposable lab where possible. Stop on rate limits or unexpected access to real personal data; never evade limits through IP rotation. Payloads below are hypotheses, not proof of a vulnerability or a mandate to try every technique.
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.
- 2d ago Changed 3a90769a7d33
- 1mo ago First seen · 454 lines · 48 tokens per session scan A 9b83b636b81c
api-fuzzing-bug-bounty is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,548 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 3,091 once invoked, about $0.0002 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 2026-09-05.
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