Borrowing it
Nothing to install: this file belongs to qauth-labs/qauth. 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/qauth-labs/qauth/main/.claude/skills/schema/SKILL.mdgit clone --depth 1 https://github.com/qauth-labs/qauthWrote 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/qauth-labs/qauth/schema)<a href="https://agentmods.dev/skills/qauth-labs/qauth/schema"><img src="https://agentmods.dev/badge/skills/qauth-labs/qauth/schema/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/qauth-labs/qauth/schema"><img src="https://agentmods.dev/badge/skills/qauth-labs/qauth/schema.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 102 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00050 | $0.03218 |
| Opus 5.5 | $0.00020 | $0.01287 |
| Sonnet 5.5 | $0.00010 | $0.00644 |
| Haiku 4.5 | $0.00005 | $0.00322 |
Grade A, and why
schema 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schema Rules
You are working with the QAuth database layer. This document reflects the
CURRENT shipped schema: the identifier-abstraction model (ADR-002,
implemented via Epic #224, PRs #225–#230, migrations 0009–0011). users
is a pure identity anchor; authentication methods live in user_credentials;
identity data lives in user_attributes. The legacy monolithic columns
(users.email/email_normalized/password_hash) were dropped in migration
0011 and no longer exist.
Identity Model (CURRENT — shipped)
Three tables (see libs/infra/db/src/lib/schema/core.ts + identity.ts):
users— identity anchor ONLY:id(uuidv7 PK — the stable OIDCsub),realm_id,enabled,first_name/last_name(→ OIDCnameclaim),metadata, timestamps,last_login_at. (The vestigialemail_verified/email_verified_atcolumns were dropped in #261, migration 0012; verified state lives incredential_data/user_attributes.)user_credentials— one row per authentication method per user.provider_type('password' | 'wallet' | 'oidc_*', plain text — no enum),external_sub(normalized email for password; DID/upstream sub later),credential_datajsonb (for'password':{ password_hash, email_verified }snake_case — shape owned bypasswordCredentialDataSchemain@qauth-labs/server-federation). UNIQUE(realm_id, provider_type, external_sub)— since #230 this is the sole duplicate-registration guard.user_attributes— claims as data:(user_id, source, attr_key)UNIQUE,attr_value,verified, optionalexpires_at. Trust order (wallet > oidc_* > self_reported) is app-code policy (selectTrustedAttribute), not a DB constraint.
Login lookup (password auth)
SELECT * FROM user_credentials
WHERE realm_id = $realm_id
AND provider_type = 'password'
AND external_sub = $normalized_email
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 b1299797f78d
- yesterday Changed bd4c48d66ba4
- 2d ago Changed · +4 lines 7297b2154773
- 3d ago Changed · +11 lines fabbed224efd
- 4d ago Changed · +12 lines a0bf4e20430f
- 6d ago Changed · +6 lines c708d310cb64
- 7d ago Changed · +3 lines f9c4ff00cf4c
- 16d ago Changed · +1 lines d54c513e1a60
- 1mo ago First seen · 159 lines · 50 tokens per session scan A ff644d764a72
schema is a skill published in the GitHub repository qauth-labs/qauth (26 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 3,218 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 2026-08-30.
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