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 adriannoes/awesome-agentic-ai --skill hunt-sqligit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/hunt-sqli)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-sqli"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-sqli/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/adriannoes/awesome-agentic-ai/hunt-sqli"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-sqli.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 | $0.00030 | $0.04014 |
| Opus 5.5 | $0.00012 | $0.01606 |
| Sonnet 5.5 | $0.00006 | $0.00803 |
| Haiku 4.5 | $0.00003 | $0.00401 |
Grade A, and why
hunt-sqli 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.
axios.get('/report?from=' + startDate + '&to=' + endDate) This is a copy
88% identical to hunt-sqli — 120 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crown Jewel Targets
SQL injection remains one of the highest-paying vulnerability classes in bug bounty because it directly threatens data confidentiality, integrity, and availability at scale.
Highest-value targets:
- SaaS platforms with multi-tenant databases — one injection can expose all customer data
- E-commerce/payment systems — PII, card data, transaction records
- Search endpoints — user-controlled input passed directly to queries (e.g., Rockstar Games
/search) - Analytics/tracking subdomains — often built fast, tested less (e.g.,
sctrack.email.uber.com.cn) - Third-party plugins on enterprise installs — WordPress plugins, CMS extensions running on corporate domains (Uber's Huge IT Video Gallery)
- Internal tooling exposed externally — Apache Airflow, GitHub Enterprise, admin dashboards
- NoSQL backends (MongoDB) — often overlooked, same injection class, different syntax
Asset types that pay most:
- Production APIs with
/search,/filter,/sort,/reportparameters - Subdomains with legacy stacks (
.cn,.co,.ioregional variants) - Self-hosted open-source tools (Airflow, GitLab, Jenkins) on bounty scope
- Email tracking and analytics infrastructure
Attack Surface Signals
URL patterns that suggest injectable parameters:
/search?q=
/filter?category=
/sort?by=&order=
/report?start_date=&end_date=
/api/v1/items?id=
/index.php?id=
/gallery?album_id=
/track?uid=&campaign=
?page=&limit=&offset=
Response header signals:
X-Powered-By: PHP— likely MySQL/PostgreSQL backendServer: Apache+ PHP — classic LAMP stackX-Powered-By: Express— possible MongoDB/NoSQL backend- Database error messages leaking in responses (MySQL, PostgreSQL, MSSQL error strings)
JavaScript patterns indicating dynamic query construction:
// Look for these in JS bundles
fetch(`/api/search?q=${userInput}`)
$.ajax({ url: '/filter?sort=' + param })
axios.get('/report?from=' + startDate + '&to=' + endDate)
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 · 368 lines · 30 tokens per session scan A f84efe427578
hunt-sqli is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (87 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 4,014 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 88% identical to hunt-sqli, differing in 120 lines, and is treated as a copy.
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