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 Babatunde-Fatai/ai-agent-skills-library --skill social-auth-coregit clone --depth 1 https://github.com/Babatunde-Fatai/ai-agent-skills-libraryWrote 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/babatunde-fatai/ai-agent-skills-library/social-auth-core)<a href="https://agentmods.dev/skills/babatunde-fatai/ai-agent-skills-library/social-auth-core"><img src="https://agentmods.dev/badge/skills/babatunde-fatai/ai-agent-skills-library/social-auth-core/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/babatunde-fatai/ai-agent-skills-library/social-auth-core"><img src="https://agentmods.dev/badge/skills/babatunde-fatai/ai-agent-skills-library/social-auth-core.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 | $0.00093 | $0.01785 |
| Opus 5 | $0.00046 | $0.00892 |
| Sonnet 5 | $0.00019 | $0.00357 |
| Haiku 4.5 | $0.00009 | $0.00178 |
Grade A, and why
social-auth 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 12d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Navigation
⚠️ READ FIRST: AGENT_EXECUTION_SPEC.md - Security contract and execution order
- Providers: Google | GitHub | LinkedIn | Apple | Twitter/X
- Patterns: OAuth Flow | Golden Path | Token Management | Refresh Token Lifecycle | Sessions | Data Models
- Adapters: Next.js | Express | Vanilla Node | Pseudocode | Laravel | Django | Flask | Rails | Vue
- Governance (mandatory): Env Contract | Error Handling | Account Linking | Testing
Mandatory Start (No Code)
- Produce a Discovery Report before any code or config changes.
- Read mandatory references:
references/AGENT_EXECUTION_SPEC.mdand all governance references inreferences/governance/. - Confirm provider(s), framework, language, deployment environment, and session strategy. If any are missing or ambiguous, stop and ask.
- Verify current provider documentation and security guidance (RFC 9700, RFC 7636, RFC 8252, OIDC Core) before implementation.
Multi-Part Implementation Note
OAuth/OIDC requires coordination between frontend and backend. This skill assumes full-stack access. If implementing in parts:
Scenario 1: Backend-only access
- Implement login start and callback routes.
- Document the route URLs for the frontend team.
- Provide success and error redirect URLs.
- See "Role Selection and Multi-Part Implementation" in
references/AGENT_EXECUTION_SPEC.md.
Scenario 2: Frontend-only access
- Implement a login button that calls an existing backend route.
- Do not implement OAuth flow logic client-side.
- Use the Frontend-Only Discovery Report in AGENT_EXECUTION_SPEC.md.
- If the backend uses cookie-based sessions, configure API calls with credentials included and derive auth state from the server.
- Do not modify existing auth logic unrelated to the social login being added.
Scenario 3: Full-stack access (recommended)
- Implement backend first (routes, handlers, validation).
- Then add frontend integration (button, redirects).
- Test end-to-end before deploying.
What ships with it
39 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.
- .DS_Store 6.0 KB
- README.md 6.2 KB
- references/.DS_Store 10 KB
- references/adapters/django-patterns.md 1.5 KB
- references/adapters/express-patterns.md 1.6 KB
- references/adapters/flask-patterns.md 1.5 KB
- references/adapters/laravel-patterns.md 1.5 KB
- references/adapters/nextjs-patterns.md 2.1 KB
- references/adapters/pseudocode-patterns.md 2.2 KB
- references/adapters/rails-patterns.md 1.4 KB
- references/adapters/vanilla-node-patterns.md 1.6 KB
- references/adapters/vue-patterns.md 1.0 KB
- references/AGENT_EXECUTION_SPEC.md 13 KB
- references/governance/account-linking.md 2.5 KB
- references/governance/env-contract.md 1.1 KB
- references/governance/error-edge-cases.md 1.2 KB
- references/governance/minimal-test-harness.md 980 B
- references/governance/testing-validation.md 1.9 KB
- references/patterns/data-models.md 2.0 KB
- references/patterns/existing-auth-integration.md 2.9 KB
- references/patterns/golden-path.md 1.3 KB
- references/patterns/jwks-validation-helper.md 2.8 KB
- references/patterns/oauth-flow-core.md 1.5 KB
- references/patterns/refresh-token-lifecycle.md 1.1 KB
- references/patterns/samesite-decision-tree.md 1.3 KB
- references/patterns/session-handling.md 1.9 KB
- references/patterns/token-management.md 1.3 KB
- references/providers/apple.md 1.3 KB
- references/providers/apple/CREDENTIALS.md 2.9 KB
- references/providers/facebook/CREDENTIALS.md 2.4 KB
- references/providers/github.md 1.2 KB
- references/providers/github/CREDENTIALS.md 2.5 KB
- references/providers/google.md 1.5 KB
- references/providers/google/CREDENTIALS.md 4.0 KB
- references/providers/linkedin.md 1.2 KB
- references/providers/linkedin/CREDENTIALS.md 2.6 KB
- references/providers/microsoft/CREDENTIALS.md 2.8 KB
- references/providers/twitter.md 1.2 KB
- references/providers/twitter/CREDENTIALS.md 2.3 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.
- 12d ago First seen · 162 lines · 93 tokens per session scan A 41922e58a487
social-auth is a skill published in the GitHub repository Babatunde-Fatai/ai-agent-skills-library (10 stars, last pushed 5mo ago), licensed MIT. It adds 93 tokens to every session and 1,785 once invoked, about $0.0005 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 2026-08-31.
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