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 ashish7802/awesome-api-skills --skill auth0git clone --depth 1 https://github.com/ashish7802/awesome-api-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/ashish7802/awesome-api-skills/auth0)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/auth0"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/auth0/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/ashish7802/awesome-api-skills/auth0"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/auth0.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00517 |
| Opus 5.5 | $0.00000 | $0.00207 |
| Sonnet 5.5 | $0.00000 | $0.00103 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
auth0 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auth0 API Skill
Overview
Auth0 provides Authentication as a Service. This skill focuses on the Management API for backend operations (users, roles, permissions).
Installation
npm install auth0
pip install auth0-python
Authentication
Authenticate against the Management API using an OAuth2 Machine-to-Machine (M2M) token fetched from your tenant's /oauth/token endpoint.
Core Concepts
- Tenant: Your isolated Auth0 instance.
- Connection: A source of users (e.g., Database, Google OAuth).
- Rules/Actions: Serverless functions triggered during authentication.
Common Workflows
- Obtain a Management API Token (cache this).
- Initialize
ManagementClient. - Perform actions like
client.users.update({ id }, data).
Error Handling
Catch API errors. Watch for HTTP 429 (Rate Limit Exceeded) and HTTP 400 (Validation Error, such as invalid password strength).
Security
Management API tokens have massive power. Ensure they are scoped strictly to the resources they need (e.g., read:users rather than update:users if only reading).
Rate Limits
Limits depend on your subscription tier. The Management API is strictly rate-limited; heavily cache user profiles in your own database.
Best Practices
Do not call the Management API on every user login. Use Auth0 Actions to inject custom claims into the ID Token instead.
Troubleshooting
If M2M token generation fails, verify that your Machine-to-Machine application is authorized to access the Auth0 Management API resource server.
References
Why use this skill
Use this when your agent works with auth0 — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
Production checklist
- Secrets in environment variables, not source code
- Error handling and logging in place
- Rate limits and timeouts configured
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 63 lines · 0 tokens per session scan A 676edea1d82d
auth0 is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 517 tokens. 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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