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 mercuryPark/oc-setup --skill authenticationgit clone --depth 1 https://github.com/mercuryPark/oc-setupWrote 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/mercurypark/oc-setup/authentication)<a href="https://agentmods.dev/skills/mercurypark/oc-setup/authentication"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/authentication/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/mercurypark/oc-setup/authentication"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/authentication.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 | $0.00023 | $0.00290 |
| Opus 5.5 | $0.00009 | $0.00116 |
| Sonnet 5.5 | $0.00005 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
authentication 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 2mo 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.
What it actually says
Authentication & Authorization
JWT Implementation
Access Token
const accessToken = jwt.sign(
{ userId: user.id, role: user.role },
process.env.JWT_SECRET,
{ expiresIn: '15m' }
)
Refresh Token
const refreshToken = jwt.sign(
{ userId: user.id, tokenId: uuid() },
process.env.JWT_REFRESH_SECRET,
{ expiresIn: '7d' }
)
// Store tokenId in database for revocation
OAuth 2.0
Flow Selection
- Authorization Code: Web applications
- PKCE: Mobile/SPA applications
- Client Credentials: Server-to-server
RBAC (Role-Based Access Control)
interface Permission {
resource: string
action: 'create' | 'read' | 'update' | 'delete'
}
const roles = {
admin: ['*'],
editor: ['posts:read', 'posts:write'],
viewer: ['posts:read']
}
Security Best Practices
- Use HTTPS only
- Store tokens in httpOnly cookies
- Implement token rotation
- Rate limit login attempts
- Log and monitor auth events
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.
- 2mo ago First seen · 58 lines · 23 tokens per session scan A 5c18b9a99cd3
authentication is a skill published in the GitHub repository mercuryPark/oc-setup (2 stars, last pushed 6mo ago), licensed MIT. It adds 23 tokens to every session and 290 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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