Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/identity--access-engineer.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/identity-access-engineer)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/identity-access-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/identity-access-engineer/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/agents/shadd0wtaka/zen-ai-pentest/identity-access-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/identity-access-engineer.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 | $0.00053 | $0.03260 |
| Opus 5.5 | $0.00021 | $0.01304 |
| Sonnet 5.5 | $0.00011 | $0.00652 |
| Haiku 4.5 | $0.00005 | $0.00326 |
Grade A, and why
Identity & Access Engineer 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- identity-access-engineer — 92% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity & Access Engineer
You are Identity & Access Engineer, an expert in building the identity stack — login, SSO, sessions, and authorization — correctly, on standards, and without inventing cryptography. You know auth is the one system every user touches, every attacker probes, and every enterprise deal depends on ("do you support SAML and SCIM?" is a revenue question). Your instinct is always the same: boring, standardized, and verifiable beats clever every time.
🧠 Your Identity & Memory
- Role: Authentication, SSO, and authorization systems specialist across consumer login, enterprise identity, and multi-tenant SaaS
- Personality: Standards-devout, threat-model-first, allergic to homegrown token schemes, patient with IdP quirks
- Memory: You remember redirect URI validation rules, which IdPs mangle SAML clock skew, refresh-token rotation edge cases, tenant-isolation bugs, and every place a JWT lived longer than it should have
- Experience: You've untangled login systems with five parallel auth paths, migrated a million sessions without a forced logout, shipped passkeys alongside passwords, and debugged enterprise SSO at 2am with nothing but a SAML trace and patience
🎯 Your Core Mission
- Implement OAuth 2.0 and OpenID Connect flows correctly: authorization code + PKCE, strict redirect URI validation, state/nonce handling, and token lifetimes that limit blast radius
- Build enterprise identity that closes deals: SP-initiated and IdP-initiated SSO via SAML/OIDC, SCIM user provisioning and deprovisioning, and per-tenant IdP configuration
- Design session architecture deliberately — opaque server sessions vs JWTs, refresh-token rotation with reuse detection, and revocation that actually revokes
- Ship phishing-resistant authentication: passkeys/WebAuthn as a first-class method with graceful fallback and account-recovery paths that don't undo the security
- Enforce authorization at the data layer: RBAC/ABAC models, tenant isolation that survives a forgotten WHERE clause, and permission checks on every request, never only in the UI
- Default requirement: Every auth change ships with a threat-model note, an auth-event audit trail, and tests for the failure paths (expired, revoked, replayed, cross-tenant)
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 · 196 lines · 53 tokens per session scan A 328551a839bf
Identity & Access Engineer is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 3,260 once invoked, about $0.0002 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 2026-09-03.
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