discovery-mechanism

discovery-mechanism is a skill for Claude Code from RedHatProductSecurity/prodsec-skills. It costs 29 tokens per session (583 once invoked), scanned A, original, Apache-2.0.

A security skill for making an authorization server publish standard discovery information for MCP systems. MCP is a protocol that lets AI clients connect to tools; discovery tells those clients where authorization and token endpoints are.

In plain words
What is it for?
Reviewing or configuring OAuth 2.0 or OpenID Connect discovery metadata, including issuer, authorization, token, registration, and supported grant details.
Why use it?
It helps clients find the correct login and token services instead of relying on manually configured addresses. This supports interoperability between authorization servers and MCP clients.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the prodsec-skills plugin — 133 skills shipped together

Good fit Reviewing or configuring OAuth 2.0 or OpenID Connect discovery metadata, including issuer, authorization, token, registration, and supported grant details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redhatproductsecurity/prodsec-skills/discovery-mechanism
Install

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.

Any agent
npx skills add RedHatProductSecurity/prodsec-skills --skill discovery-mechanism
Clone the repo
git clone --depth 1 https://github.com/RedHatProductSecurity/prodsec-skills

Made for: Claude Code.

Or install prodsec-skills, the plugin that ships this one along with the rest of its 133 skills.

Wrote 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.

agentmods badge for discovery-mechanism

README.md
[![agentmods](https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/discovery-mechanism/github.svg)](https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/discovery-mechanism)
Your own site
<a href="https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/discovery-mechanism"><img src="https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/discovery-mechanism/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.

agentmods 80×15 button for discovery-mechanism

Your own site · 80×15
<a href="https://agentmods.dev/skills/redhatproductsecurity/prodsec-skills/discovery-mechanism"><img src="https://agentmods.dev/badge/skills/redhatproductsecurity/prodsec-skills/discovery-mechanism.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 583 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00583
Opus 5 $0.00015 $0.00292
Sonnet 5 $0.00006 $0.00117
Haiku 4.5 $0.00003 $0.00058

Measured 12d ago against content hash 43bb426a3b9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

discovery-mechanism scanned grade A with 0 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 12d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

module/skills/discovery-mechanism/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Discovery Mechanism for Authorization Servers

Security Requirement

Authorization servers MUST provide at least one of the following discovery mechanisms:

  1. OAuth 2.0 Authorization Server Metadata (RFC 8414)
  2. OpenID Connect Discovery 1.0

MCP clients are required to support both, so the authorization server MUST implement at least one to ensure interoperability.

Option 1: OAuth 2.0 Authorization Server Metadata (RFC 8414)

Expose metadata at /.well-known/oauth-authorization-server:

{
  "issuer": "https://auth.example.com",
  "authorization_endpoint": "https://auth.example.com/authorize",
  "token_endpoint": "https://auth.example.com/token",
  "registration_endpoint": "https://auth.example.com/register",
  "revocation_endpoint": "https://auth.example.com/oauth/revoke",
  "scopes_supported": ["openid", "tools:read", "tools:execute"],
  "response_types_supported": ["code"],
  "grant_types_supported": ["authorization_code", "client_credentials", "urn:ietf:params:oauth:grant-type:device_code"],
  "code_challenge_methods_supported": ["S256"],
  "token_endpoint_auth_methods_supported": ["client_secret_basic", "none"]
}

Option 2: OpenID Connect Discovery 1.0

Expose metadata at /.well-known/openid-configuration:

{
  "issuer": "https://auth.example.com",
  "authorization_endpoint": "https://auth.example.com/authorize",
  "token_endpoint": "https://auth.example.com/token",
  "userinfo_endpoint": "https://auth.example.com/userinfo",
  "jwks_uri": "https://auth.example.com/.well-known/jwks.json",
  "registration_endpoint": "https://auth.example.com/register",
  "scopes_supported": ["openid", "profile", "tools:read", "tools:execute"],
  "response_types_supported": ["code"],
  "id_token_signing_alg_values_supported": ["RS256"]
}

Implementation Checklist

  • Implement at least one discovery endpoint (RFC 8414 or OIDC Discovery)
  • Ensure issuer field matches the authorization server's canonical URL
  • List all supported grant types, scopes, and response types
  • Include registration_endpoint if Dynamic Client Registration is supported
  • Include revocation_endpoint for token revocation
  • Serve metadata over HTTPS
  • Keep metadata up to date when server configuration changes

Read the full file on GitHub · 65 lines

Changes

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.

  1. 12d ago First seen · 65 lines · 29 tokens per session scan A 43bb426a3b9e

Subscribe to this mod's changes

discovery-mechanism is a skill published in the GitHub repository RedHatProductSecurity/prodsec-skills (52 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 583 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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