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 agentmods add skills/d4rkninja/arcforge/auth-accessnpx skills add d4rkNinja/arcforge --skill auth-accessgit clone --depth 1 https://github.com/d4rkNinja/arcforgeWrote 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/d4rkninja/arcforge/auth-access)<a href="https://agentmods.dev/skills/d4rkninja/arcforge/auth-access"><img src="https://agentmods.dev/badge/skills/d4rkninja/arcforge/auth-access.svg" alt="Measured on agentmods" 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 | $0.00085 | $0.02720 |
| Opus 5 | $0.00043 | $0.01360 |
| Sonnet 5 | $0.00017 | $0.00544 |
| Haiku 4.5 | $0.00009 | $0.00272 |
Grade A, and why
auth-access 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 today.
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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Think Through Identity & Access
Overview
Production guidance for identity, authentication, authorization, and tenancy. Each reference paper captures the correctness, security, and lifecycle work that first drafts miss: token rotation and reuse detection, session fixation, account enumeration, OAuth linking edge cases, permission inheritance, tenant leakage, and admin audit paths.
Core principle: Authentication and authorization are invariant-enforcement systems, not login forms. Every identity, credential, session, and permission decision must trace to an enforceable rule at the authoritative data boundary.
Domain Law
NO AUTH OR ACCESS CHANGE WITHOUT:
1. the minimum required primary paper(s) for the feature selected from the context table;
2. the paper's pre-change questions
answered, or each open point labeled as an assumption;
3. "Existing-codebase checks" run when changing an existing system;
4. every applicable MUST mapped to a decision, a test, or a documented
exception — never silently downgraded.
When to Use
Use this skill when thinking through, reviewing, changing, or verifying:
- email/password, phone, passwordless, magic-link, or OTP login;
- password reset, change, verification, lockout, and account recovery;
- session management: cookies, rotation, fixation defense, device sessions;
- JWTs, opaque tokens, refresh-token rotation, revocation, reuse detection;
- OAuth 2.0 / OIDC social login, provider account linking, provider outages;
- MFA enrollment, removal, recovery codes, passkeys/WebAuthn, step-up auth;
- API keys and machine-to-machine / service-to-service authentication;
- permissions: roles, RBAC/ABAC/ReBAC, ownership checks, impersonation;
- account lifecycle: suspension, deletion, anonymization, merge, export;
- multi-tenant identification, isolation, quotas, and cross-tenant leakage prevention;
- internal admin operations and privileged tooling.
When Not to Use
- Designing the architecture of a whole new system: use
system-architecture-harness. - Building LLM/agent features: use
ai-agent-system-architecture. - API contracts, validation, pagination, error models: use
api-contracts. - Secrets storage, cryptography primitives, TLS, token randomness: use
security-privacy(papers 063, 064, 127). - Rate limiting and brute-force pacing mechanics: use
resilience-flow-control(paper 038).
What ships with it
13 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.
- agents/openai.yaml 274 B
- examples/worked-example-password-reset.md 4.2 KB
- references/papers/003-identity.md 33 KB
- references/papers/004-authentication.md 42 KB
- references/papers/005-oauth-social-authentication.md 41 KB
- references/papers/006-mfa-strong-authentication.md 38 KB
- references/papers/007-sessions.md 36 KB
- references/papers/008-authorization.md 43 KB
- references/papers/009-users-and-account-lifecycle.md 33 KB
- references/papers/010-multi-tenancy.md 42 KB
- references/papers/112-internal-admin-operations.md 34 KB
- references/papers/113-machine-to-machine-authentication.md 34 KB
- references/papers/114-api-keys.md 33 KB
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.
- today Changed · +5 lines 58f3a5e5a659
- 4d ago First seen · 148 lines · 85 tokens per session scan A 279c085a0309
auth-access is a skill published in the GitHub repository d4rkNinja/arcforge (16 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 2,720 once invoked, about $0.0004 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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