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Secret Handling

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bradygaster
secret-handling

Never read .env files or write secrets to .squad/ committed files

Overview

Publisherbradygaster
Repositorysquad
Skill namesecret-handling
Stars
3.3K
Forks
506
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by bradygaster on GitHub. Read the source before you install it.

Installation

Install the Secret Handling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/secret-handling
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bradygaster/squad.git /tmp/squad
mkdir -p .claude/skills
cp -r /tmp/squad/packages/squad-cli/templates/skills/secret-handling .claude/skills/secret-handling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Secret Handling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Secret Handling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Secret Handling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Context

Spawned agents have read access to the entire repository, including .env files containing live credentials. If an agent reads secrets and writes them to .squad/ files (decisions, logs, history), Scribe auto-commits them to git, exposing them in remote history. This skill codifies absolute prohibitions and safe alternatives.

Patterns

Prohibited File Reads

NEVER read these files:

  • .env (production secrets)
  • .env.local (local dev secrets)
  • .env.production (production environment)
  • .env.development (development environment)
  • .env.staging (staging environment)
  • .env.test (test environment with real credentials)
  • Any file matching .env.* UNLESS explicitly allowed (see below)

Allowed alternatives:

  • .env.example (safe — contains placeholder values, no real secrets)
  • .env.sample (safe — documentation template)
  • .env.template (safe — schema/structure reference)

If you need config info:

  1. Ask the user directly — "What's the database connection string?"
  2. Read .env.example — shows structure without exposing secrets
  3. Read documentation — check README.md, docs/, config guides

NEVER assume you can "just peek at .env to understand the schema." Use .env.example or ask.

Prohibited Output Patterns

NEVER write these to .squad/ files:

Pattern TypeExamplesRegex Pattern (for scanning)
API KeysOPENAI_API_KEY=sk-proj-..., GITHUB_TOKEN=ghp_...`[A-Z_]+(?:KEY
PasswordsDB_PASSWORD=super_secret_123, password: "..."`(?:PASSWORD
Connection Stringspostgres://user:pass@host:5432/db, Server=...;Password=...`(?:postgres
JWT TokenseyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+
Private Keys-----BEGIN PRIVATE KEY-----, -----BEGIN RSA PRIVATE KEY----------BEGIN [A-Z ]+PRIVATE KEY-----
AWS CredentialsAKIA..., aws_secret_access_key=...`AKIA[0-9A-Z]{16}
Email Addressesuser@example.com (PII violation per team decision)[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}

What to write instead:

  • Placeholder values: DATABASE_URL=<set in .env>
  • Redacted references: API key configured (see .env.example)
  • Architecture notes: "App uses JWT auth — token stored in session"
  • Schema documentation: "Requires OPENAI_API_KEY, GITHUB_TOKEN (see .env.example for format)"

Scribe Pre-Commit Validation

Before committing .squad/ changes, Scribe MUST:

  1. Scan all staged files for secret patterns (use regex table above)

  2. Check for prohibited file names (don't commit .env even if manually staged)

  3. If secrets detected:

    • STOP the commit (do NOT proceed)
    • Remove the file from staging: git reset HEAD <file>
    • Report to user:
      🚨 SECRET DETECTED — commit blocked
      
      File: .squad/decisions/inbox/river-db-config.md
      Pattern: DATABASE_URL=postgres://user:password@localhost:5432/prod
      
      This file contains credentials and MUST NOT be committed.
      Please remove the secret, replace with placeholder, and try again.
    • Exit with error (never silently skip)
  4. If no secrets detected:

    • Proceed with commit as normal

Implementation note for Scribe:

  • Run validation AFTER staging files, BEFORE calling git commit
  • Use PowerShell Select-String or git diff --cached to scan staged content
  • Fail loud — secret leaks are unacceptable, blocking the commit is correct behavior

Remediation — If a Secret Was Already Committed

If you discover a secret in git history:

  1. STOP immediately — do not make more commits
  2. Alert the user:
    🚨 CREDENTIAL LEAK DETECTED
    
    A secret was found in git history:
    Commit: abc1234
    File: .squad/decisions/inbox/agent-config.md
    Pattern: API_KEY=sk-proj-...
    
    This requires immediate remediation:
    1. Revoke the exposed credential (regenerate API key, rotate password)
    2. Remove from git history (git filter-repo or BFG)
    3. Force-push the cleaned history
    
    Do NOT proceed with new work until this is resolved.
  3. Do NOT attempt to fix it yourself — secret removal requires specialized tools
  4. Wait for user confirmation before resuming work

Examples

✓ Correct: Reading Config Schema

Agent needs to know what environment variables are required:

Agent: "What environment variables does this app need?"
→ Reads `.env.example`:
    OPENAI_API_KEY=sk-...
    DATABASE_URL=postgres://user:pass@localhost:5432/db
    REDIS_URL=redis://localhost:6379

→ Writes to .squad/decisions/inbox/river-env-setup.md:
    "App requires three environment variables:
    - OPENAI_API_KEY (OpenAI API key, format: sk-...)
    - DATABASE_URL (Postgres connection string)
    - REDIS_URL (Redis connection string)
    See .env.example for full schema."

✗ Incorrect: Reading Live Credentials

Agent needs to know database schema:

Agent: (reads .env)
    DATABASE_URL=postgres://admin:super_secret_pw@prod.example.com:5432/appdb

→ Writes to .squad/decisions/inbox/river-db-schema.md:
    "Database connection: postgres://admin:super_secret_pw@prod.example.com:5432/appdb"

🚨 VIOLATION: Live credential written to committed file

Correct approach:

Agent: (reads .env.example OR asks user)
User: "It's a Postgres database, schema is in migrations/"

→ Writes to .squad/decisions/inbox/river-db-schema.md:
    "Database: Postgres (connection configured in .env). Schema defined in db/migrations/."

✓ Correct: Scribe Pre-Commit Validation

Scribe is about to commit:

powershell
# Stage files
git add .squad/

# Scan staged content for secrets
$stagedContent = git diff --cached
$secretPatterns = @(
    '[A-Z_]+(?:KEY|TOKEN|SECRET)=[^\s]+',
    '(?:PASSWORD|PASS|PWD)[:=]\s*["'']?[^\s"'']+',
    'eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+'
)

$detected = $false
foreach ($pattern in $secretPatterns) {
    if ($stagedContent -match $pattern) {
        $detected = $true
        Write-Host "🚨 SECRET DETECTED: $($matches[0])"
        break
    }
}

if ($detected) {
    # Remove from staging, report, exit
    git reset HEAD .squad/
    Write-Error "Commit blocked — secret detected in staged files"
    exit 1
}

# Safe to commit
git commit -F $msgFile

Anti-Patterns

  • ❌ Reading .env "just to check the schema" — use .env.example instead
  • ❌ Writing "sanitized" connection strings that still contain credentials
  • ❌ Assuming "it's just a dev environment" makes secrets safe to commit
  • ❌ Committing first, scanning later — validation MUST happen before commit
  • ❌ Silently skipping secret detection — fail loud, never silent
  • ❌ Trusting agents to "know better" — enforce at multiple layers (prompt, hook, architecture)
  • ❌ Writing secrets to "temporary" files in .squad/ — Scribe commits ALL .squad/ changes
  • ❌ Extracting "just the host" from a connection string — still leaks infrastructure topology

Frequently asked questions

What does the Secret Handling AI skill do?

Never read .env files or write secrets to .squad/ committed files

Why use Secret Handling on TypingMind?

Because you install it once and use it with any model. Secret Handling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Secret Handling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/secret-handling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Secret Handling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Secret Handling?

As many as you like. As long as a model supports skills, you can use Secret Handling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Secret Handling AI skill free?

Yes. It is published on GitHub by bradygaster under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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