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-oauthgit 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-oauth)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-oauth"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-oauth/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-oauth"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-oauth.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 | $0.00028 | $0.04578 |
| Opus 5 | $0.00014 | $0.02289 |
| Sonnet 5 | $0.00006 | $0.00916 |
| Haiku 4.5 | $0.00003 | $0.00458 |
Grade C, and why
hunt-oauth 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl https://target.com/.well-known/openid-configuration | python3 -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -v "https://target.com/oauth/authorize?client_id=APP&redirect_uri=https://target.com/cb&response_type=code&state=FIXED_VALUE" How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crown Jewel Targets
OAuth vulnerabilities are among the highest-value bug classes in web security because they directly enable account takeover, session theft, and authentication bypass — the trifecta that programs pay most for.
Highest-value targets:
- Consumer identity providers (Google, Facebook, PayPal, Apple SSO integrations) — any compromise cascades across all relying parties
- Mobile apps with custom deep link OAuth handlers — Android/iOS intent handling is notoriously loose
- Multi-tenant SaaS platforms (GitLab, Reddit-scale apps) where one OAuth flaw hits millions of accounts
- Gaming/entertainment platforms with federated login (Rockstar, Oculus) — often security-immature teams
- Enterprise SSO connectors — critical infrastructure, high severity payouts
Asset types that pay most:
- OAuth authorization endpoints (
/oauth/authorize,/connect/authorize) - Token exchange endpoints (
/oauth/token) - Mobile deep link handlers (
push_notification_webview, custom scheme URIs) - Social login callback handlers (
/auth/callback,/oauth/callback)
Typical payouts: $500–$20,000+ depending on program; account takeover findings often hit max bounty.
Attack Surface Signals
URL Patterns to Hunt
/oauth/authorize
/oauth/token
/connect/authorize
/auth/callback
/oauth/callback
/login?redirect_uri=
/signin?next=
/auth?return_to=
/oauth/redirect
/push_notification_webview
Response Headers That Signal OAuth
Location: https://accounts.example.com/oauth/...
Set-Cookie: oauth_state=
WWW-Authenticate: Bearer
Content-Type: application/json (with access_token in body)
JavaScript Patterns (grep in JS bundles)
redirect_uri
client_id
response_type=code
response_type=token
state=
nonce=
oauth_token
access_token
push_notification_webview
deeplink
intent://
Tech Stack Signals
- Android apps with
intent-filterinAndroidManifest.xmlhandlinghttp://or custom scheme URIs - Apps using Doorkeeper, OmniAuth, Devise (Ruby), Passport.js (Node), Spring Security OAuth
- Social login buttons (Google, Facebook, Apple) = OAuth surface guaranteed
.well-known/openid-configurationpresent = full OIDC surface available
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.
- 9d ago First seen · 318 lines · 28 tokens per session scan C 68ccb80f7bfd
hunt-oauth is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 28 tokens to every session and 4,578 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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