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Modern authentication implementation for 2026 - passkeys (WebAuthn), OAuth (Google, Apple), magic links, and cross-device sync. Use for passwordless-first authentication, social login setup, Supabase Auth, Next.js auth flows, and multi-factor authentication. Activate on "passkeys", "WebAuthn", "Google Sign-In", "Apple Sign-In", "magic link", "passwordless", "authentication", "login", "OAuth", "social login". NOT for session management without auth (use standard JWT docs), authorization/RBAC (use security-auditor), or API key management (use api-architect).

curiositech/some_claude_skills Agent Skills author: curiositech 2 files body ≈ 6 477 tokens Open the sourcegithub.com↗ analyzed 39 min ago

Modern authentication implementation for 2026 - passkeys (WebAuthn), OAuth (Google, Apple), magic links, and cross-device sync.

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationSupabaseSoftware developmentData and analyticsSecuritytype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
94
Quality 40%
81
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash Grep Glob WebSearch mcp__supabase__*
  • low Secrets in code secret-private-key SKILL.md:821
    Private key material (placeholder value)
    APPLE_PRIVATE_KEY="-----BEGIN PRIVATE KEY----- …
    placeholder

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6477 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 61, 64): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 50/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 6477 tokens
  • 85Steps. 73 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +3Output format is not stated: the model decides each time
  • -228 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 562: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (24 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.